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- Tanu Solanki
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- Philipp Mayr
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Singh, Vivek Kumar
- Measuring Research Output and Collaboration in South Asian Countries
Abstract Views :284 |
PDF Views:85
Authors
Affiliations
1 Department of Computer Science, South Asian University, Akbar Bhawan, Chanakyapuri, New Delhi 110 021, IN
1 Department of Computer Science, South Asian University, Akbar Bhawan, Chanakyapuri, New Delhi 110 021, IN
Source
Current Science, Vol 107, No 1 (2014), Pagination: 31-38Abstract
This article presents a scientometric analysis of academic research output, growth trend, citation&impact, and research collaboration levels in the South Asian region. The analysis is done on several important parameters such as total research production, global share and rank, subject categories, citation impact, in and out-region citation patterns, and inter-country collaborations. The economic indicators relating to higher education and research for the countries in the region are correlated with the analytical results. It also analyses the research growth and maturity levels for the region. In summary, it tries to map the academic research status in the South Asian region, including details about the countries in the region.Keywords
Citation Analysis, Knowledge Creation, Research Collaboration, Research Impact, Scientometrics.- Research Competitiveness of Indian Institutes of Science Education and Research
Abstract Views :294 |
PDF Views:105
Authors
Affiliations
1 GCET, Knowledge Park 2, G. Noida 201 306, IN
2 Department of Computer Science, South Asian University, New Delhi 110 021, IN
3 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
1 GCET, Knowledge Park 2, G. Noida 201 306, IN
2 Department of Computer Science, South Asian University, New Delhi 110 021, IN
3 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 110, No 3 (2016), Pagination: 307-310Abstract
This article describes our effort to measure the research competitiveness of Indian Institutes of Science Education and Research (IISERs) through a scientometric analysis of their research output during the last five years (2010-14). The research output indexed in Web of Science of the five recently established IISERs has been obtained and analysed computationally to identify growth trends, per capita output, authorship and collaboration patterns, citation impact, average citation per paper, etc. The research performance of IISERs is also compared with the Indian Institute of Science, Bengaluru and the Indian Institute of Technology system to obtain an assessment of their research potential. Thus the article presents a useful and detailed analytical account of research potential and competitiveness of IISERs.Keywords
Authorship and Collaboration Pattern, Citation Analysis, Research Competitiveness, Scientometrics.References
- Hirsch, J. E., An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. USA, 2005, 102(46), 16569–16572.
- Egghe, L., Theory and practice of the g-index. Scientometrics, 2006, 69(1), 131–152.
- Alonso, S., Cabrerizo, F. J., Herrera-Viedma, E. and Herrera, F., hgindex: a new index to characterize the scientific output of researchers based on the h-and g-indices. Scientometrics, 2010, 82(2), 391– 400.
- Prathap, G., The 100 most prolific economists using the p-index. Scientometrics, 2010, 84(1), 167–172.
- Rupika, D., Uddin, A. and Singh, V. K., Measuring the university– industry–government collaboration in Indian research output. Curr. Sci., 2016, in press.
- Measuring the University–Industry–Government Collaboration in Indian Research Output
Abstract Views :221 |
PDF Views:88
Authors
Affiliations
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu Uni-versity, Varanasi 221 005, IN
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu Uni-versity, Varanasi 221 005, IN
Source
Current Science, Vol 110, No 10 (2016), Pagination: 1904-1909Abstract
Universities, industry and government organizations all play an important role in growth and development of knowledge-based economies in the modern era. These institutions also play a signi-ficant role in knowledge creation and its deployment to the benefit of society at large. In this article, we measure and characterize the university-industry-government (UIG) relationship in the research and innovation landscape of India. Research output data for 10 years (2005-14) obtained from Web of Science have been analysed to measure collaboration among different actors of the UIG collabora-tion network. We have also measured the collaboration variations across different disciplines and identified significant UIG institutional networks. The article presents useful output and analysis, and an informative account of the UIG collaboration network at present.Keywords
Collaboration, Research Output, Scientometrics, Triple Helix, University–Industry–Government.- Research Performance of Indian Institutes of Technology
Abstract Views :245 |
PDF Views:80
Authors
Affiliations
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 CSIR-NISTADS, New Delhi 110 012, IN
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 CSIR-NISTADS, New Delhi 110 012, IN
Source
Current Science, Vol 112, No 05 (2017), Pagination: 923-932Abstract
This article presents a computational analysis of the research performance of 16 relatively older Indian Institutes of Technology (IITs) in India. The research publication data indexed in Web of Science for all the 16 IITs is used for the analysis. The data is computationally analysed to identify productivity, productivity per capita, rate of growth of research output, authorship and collaboration pattern, citation impact and discipline-wise research strengths of the different IITs. The research performances of the IITs have been compared with those of two top ranking engineering and technology institutions of the world (MIT-USA and NTU-Singapore) and most cited papers from these IITs have also been identified. The analytical results are expected to provide a informative, up-to-date and useful account of research performance assessment of the IITs.Keywords
Engineering Research, IIT, Research Competitiveness, Research Performance, Scientometrics.- Research Performance of Central Universities in India
Abstract Views :267 |
PDF Views:79
Authors
Affiliations
1 DST-Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi 221 005, IN
2 Department of Computer Science, South Asian University, New Delhi 110 021, IN
3 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
1 DST-Centre for Interdisciplinary Mathematical Sciences, Banaras Hindu University, Varanasi 221 005, IN
2 Department of Computer Science, South Asian University, New Delhi 110 021, IN
3 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 112, No 11 (2017), Pagination: 2198-2207Abstract
This article presents the research performance of the 39 central universities in India. The research publication data, indexed in the Web of Science, for the 39 central universities for a 25-year period (1990-2014) are used for analysis. The data are computationally analysed to identify productivity, productivity per capita, productivity per crore rupees grant, rate of growth of research output, authorship and collaboration pattern, citation impact and discipline-wise research strength of these institutions. Research performance of the central universities is measured and compared with two top-ranking world universities, namely University of Cambridge and Stanford University. While older well-established big universities such as University of Delhi and Banaras Hindu University perform better than newer universities, some relatively smaller universities, such as the university of Hyderabad have impressive research performance. What is disturbing is that combined research output of all central universities taken together is less than that of either of University of Cambridge or Stanford University alone. The results also provide discipline-wise research strengths of all the universities.Keywords
Central Universities, Publication Data, Research Performance, Scientometrics.References
- Government of India, 12th Five Year Plan 2012–17, Planning Commission, p. 47; http://12thplan.gov.in/
- UGC, Higher Education in India at a glance, June 2013; http://www.ugc.ac.in/pdfnews/6805988_HEglance2013.pdf
- Prathap, G. and Gupta, B. M., Ranking of Indian engineering and Technological institutes for their research performance during 1999–2008. Curr. Sci., 2009, 97(3), 304–306.
- Prathap, G. and Gupta, B. M., Ranking of Indian universities for their research output and quality using a new performance index. Curr. Sci., 2009, 97(6), 751–752.
- Raghuraman, K. P., Chander, R. and Madras, G., Scientometric analysis of some disciplines: comparison of Indian institutions with other international institutions. Curr. Sci., 2010, 99(5), 577–587.
- Prathap, G., Benchmarking research performance of the IITs using Web of Science and Scopus bibliometric databases. Curr. Sci., 2013, 105(8), 1134–1138.
- Nishy, P., Panwar, Y., Prasad, S., Mandal, G. K. and Prathap, G., An impact–citations–exergy (iCX) trajectory analysis of leading research institutions in India. Scientometrics, 2012, 91(1), 245–251.
- Kaur, H. and Mahajan, P., Ranking of medical institutes of India for quality and quantity: a case study. Scientometrics, 2015, 91(1), 245–251.
- Basu, A., Banshal, S. K., Singhal, K. and Singh, V. K., Designing a composite index for research performance evaluation at the national or regional level: ranking Central Universities in India. Scientometrics, 2016, 107(3), 1171–1193.
- University Grants Commission faculty size data report, 2014; http://www.ugc.ac.in/pdfnews/0342004_vacant-position-CU-as-on-01-01-2014.pdf
- UGC Annual Report, 2013; http://www.ugc.ac.in/pdfnews/7938259_Annual-Report-2013-14.pdf
- Glanzel, W., National characteristics in international scientific Co-authorship relations. Scientometrics, 2001, 51(1), 69–115.
- Rupika, Uddin, A. and Singh, V. K., Measuring the university–industry–government collaboration in Indian research output. Curr. Sci., 2016, 110(10), 1904–1909.
- UNESCO Global Education Digest, 2012; http://www.uis.unesco.org/Education/Pages/ged-2012-press-release.aspx
- Adams, J., Pendlebury, D. and Stembridge, B., Building BRICKS: exploring the global research and innovation impact of Brazil, Russia, India, China and South Korea, Thompson Reuters Report, 2013.
- Research Performance of the National Institutes of Technology in India
Abstract Views :231 |
PDF Views:70
Authors
Affiliations
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science and Engineering, Galgotias College of Engineering and Technology, Greater Noida 201 306, IN
3 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science and Engineering, Galgotias College of Engineering and Technology, Greater Noida 201 306, IN
3 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 115, No 11 (2018), Pagination: 2025-2036Abstract
This article presents a bibliometric assessment of research performance of the National Institutes of Technology (NITs) in India. While many of these institutes were originally established in 1960s as Regional Engineering Colleges (RECs), they were upgraded to NITs around 2002 and later. Initially NITs offered only undergraduate programmes in engineering. However, during the last decade, several NITs have started postgraduate teaching and are focusing more on research activities. It is in this context that this article assesses the research performance of NITs during 2005–2016. The performance assessment uses research publication data obtained from the Web of Science index. The data collected are computationally analysed to identify productivity, productivity per capita, rate of growth of research, international collaboration pattern, citation impact and discipline-wise distribution of the research output for the NITs. The performance of NITs is also viewed vis-à-vis two top-performing Indian institutions, namely Indian Institute of Science, Bengaluru and Indian Institute of Technology Bombay, Mumbai. A simple single-value composite ranking of research performance of NITs is also presented by combining quantity and quality factors. The study presents an informative and useful account of assessment of research work in the NITs.Keywords
Bibliometric Assessment, Research Performance, Scientometrics, Technological Institutes.References
- http://www.mnnit.ac.in/images/stories/KAKODKAR_COMMITTEE_ REPORT-for-NITs.pdf
- Banshal, S. K., Singh, V. K., Basu, A. and Muhuri, P. K.. Research performance of Indian Institutes of Technology. Curr. Sci., 2017, 112(5), 923–932.
- Solanki, T., Uddin, A. and Singh, V. K.. Research competitiveness of Indian institutes of science education and research. Curr. Sci., 2016, 110(3), 307.
- Marisha, Banshal, S. K. and Singh, V. K., Research performance of central universities in India. Curr. Sci., 2017, 112(11), 2198–2208.
- Uddin, A. and Singh, V. K., A quantity–quality composite ranking of Indian institutions in CS research. IETE Tech. Rev., 2015, 32(4), 273–283.
- Prathap, G. and Gupta, B. M., Ranking of Indian engineering and technological institutes for their research performance during 1999–2008. Curr. Sci., 2009, 97(3), 304–306.
- Prathap, G.. Benchmarking research performance of the IITs using Web of Science and Scopus bibliometric databases. Curr. Sci., 2013, 105(8), 1134–1138.
- Prathap, G., The performance of research-intensive higher educational institutions in India. Curr. Sci., 2014, 107(3), 389–396.
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- Nishy, P., Panwar, Y., Prasad, S., Mandal, G. K. and Prathap, G., An impact-citationsexergy (iCX) trajectory analysis of leading research institutions in India. Scientometrics, 2012, 91(1), 245–251.
- Bala, A. and Kumari, S., Research performance of national institutes of technology (NITs) of India during 2001–2010: a bibliometric analysis. SRELS J. Inf. Manage., 2013, 50(5), 555–572.
- https://www.scopus.com/home.uri
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- Rupika, Uddin, A. and Singh, V. K., Measuring the university– industry–government collaboration in Indian research output. Curr. Sci., 2016, 110(10), 1904–1909.
- Basu, A., Banshal, S. K., Singhal, K. and Singh, V. K., Designing a composite index for research performance evaluation at the national or regional level: ranking Central Universities in India. Scientometrics, 2016, 107(3), 1171–1193.
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- https://www.topuniversities.com/university-rankings
- How Much Research Output from India Gets Social Media Attention?
Abstract Views :225 |
PDF Views:81
Authors
Affiliations
1 Department of Computer Science, South Asian University, New Delhi 110 021,, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 GESIS Leibniz Institute for Social Sciences, Cologne, DE
1 Department of Computer Science, South Asian University, New Delhi 110 021,, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 GESIS Leibniz Institute for Social Sciences, Cologne, DE
Source
Current Science, Vol 117, No 5 (2019), Pagination: 753-760Abstract
Scholarly articles are now increasingly being mentioned and discussed in social media platforms, sometimes even as pre- or post-print version uploads. Measures of social media mentions and coverage are now emerging as an alternative indicator of impact of scholarly articles. This article aims to explore how much scholarly research output from India is covered in different social media platforms, and how similar or different it is from the world average. It also analyses the disciplinewise variations in coverage and altmetric attention for Indian research output, including a comparison with the world average. Results obtained show interesting patterns. Only 28.5% of the total research output from India is covered in social media platforms, which is about 18% less than the world average. ResearchGate and Mendeley are the most popular social media platforms in India for scholarly article coverage. In terms of discipline-wise variation, medical sciences and biological sciences have relatively higher coverage across different platforms compared to disciplines like information science and engineering.Keywords
Disciplinary Variation, Research Output, Scholarly Articles, Social Media.References
- http://www.researchgate.net (accessed on 14 May 2019).
- http://www.twitter.com (accessed on 14 May 2019).
- http://www.facebook.com (accessed on 14 May 2019).
- http://www.academia.edu (accessed on 14 May 2019).
- http://www.mendeley.com (accessed on 14 May 2019).
- Priem, J., Altmetrics. Beyond Bibliometrics: Harnessing Multidimensional Indicators of Scholarly Impact, MIT Press, 2014, pp. 263–288.
- Priem, J. and Hemminger, B. H., Scientometrics 2.0: New metrics of scholarly impact on the social web. First Monday, 2010, 15(7); http://firstmonday.org/ojs/index.php/fm/article/view/2874/257 (accessed on June 2018).
- Haustein, S., Peters, I., Sugimoto, C. R., Thelwall, M. and Larivière, V., Tweeting biomedicine: an analysis of tweets and citations in the biomedical literature. J. Assoc. Inf. Sci. Technol., 2014, 65(4), 656–669.
- Thelwall, M. and Kousha, K., ResearchGate: disseminating, communicating, and measuring scholarship? J. Assoc. Inf. Sci. Technol., 2015, 66(5), 876–889.
- Sugimoto, C. R., Work, S., Larivière, V. and Haustein, S., Scholarly use of social media and altmetrics: a review of the literature. J. Assoc. Inf. Sci. Technol., 2017, 68(9), 2037–2062.
- Banshal, S. K., Basu, A., Singh, V. K. and Muhuri, P. K., Scientific vs public attention: a comparison of top cited papers in WoS and top papers by altmetric score. In Proceedings of AROSIM 2018 – Communications in Computer and Information Science, Springer, Singapore, 2018, vol. 856, pp. 81–95.
- Shema, H., Bar‐Ilan, J. and Thelwall, M., Do blog citations correlate with a higher number of future citations? Research blogs as a potential source for alternative metrics. J. Assoc. Inf. Sci. Technol., 2014, 65(5), 1018–1027.
- Thelwall, M., Interpreting correlations between citation counts and other indicators. Scientometrics, 2016, 108(1), 337–347.
- Peters, I., Kraker, P., Lex, E., Gumpenberger, C. and Gorraiz, J., Research data explored: an extended analysis of citations. Scientometrics, 2016, 107(2), 723–744.
- Costas, R., Zahedi, Z. and Wouters, P., Do ‘altmetrics’ correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective. J. Assoc. Inf. Sci. Technol., 2015, 66(10), 2003–2019.
- Thelwall, M., Early Mendeley readers correlate with later citation counts. Scientometrics, 2018, 115(3), 1231–1240.
- Thelwall, M. and Kousha, K., ResearchGate versus Google Scholar: which finds more early citations? Scientometrics, 2017, 112(2), 1125–1131.
- Thelwall, M. and Nevill, T., Could scientists use Altmetric.com scores to predict longer term citation counts? J. Informetr., 2018, 12(1), 237–248.
- Sotudeh, H., Mazarei, Z. and Mirzabeigi, M., CiteULike bookmarks are correlated to citations at journal and author levels in library and information science. Scientometrics, 2015, 105(3), 2237–2248.
- Chen, K., Tang, M., Wang, C. and Hsiang, J., Exploring alternative metrics of scholarly performance in the social sciences and humanities in Taiwan. Scientometrics, 2015, 102(1), 97–112.
- Cho, J., A comparative study of the impact of Korean research articles in four academic fields using altmetrics. Perform. Meas. Metrics, 2017, 18(1), 38–51.
- Holmberg, K. and Woo, H., An altmetric investigation of the online visibility of South Korea-based scientific journals. Scientometrics, 2018, 117(1), 603–613.
- Bangani, S., The impact of electronic theses and dissertations: a study of the institutional repository of a university in South Africa. Scientometrics, 2018, 115(1), 131–151.
- Shu, F., Lou, W. and Haustein, S., Can twitter increase the visibility of Chinese publications? Scientometrics, 2018, 116(1), 505–519.
- Liu, Y., Lin, D., Xu, X., Shan, S. and Sheng, Q. Z., Multi-views on Nature Index of Chinese academic institutions. Scientometrics, 2018, 114(3), 823–837.
- Wang, X., Fang, Z., Li, Q. and Guo, X., The poor altmetric performance of publications authored by researchers in Mainland China. Front. Res. Metrics Anal., 2016, 1, 8.
- Teixeira da Silva, J. A., Does China need to rethink its metricsand citation-based research rewards policies? Scientometrics, 2017, 112(3), 1853–1857.
- Lepori, B., Thelwall, M. and Hafeez, B., Which US and European higher education institutions are visible in ResearchGate and what affects their RG score? J. Informetr., 2018, 12(3), 806–818.
- Banshal, S. K., Singh, V. K., Kaderye, G., Muhuri, P. K. and Sánchez, B. P., An altmetric analysis of scholarly articles from India. J. Intell. Fuzzy Syst., 2018, 34(5), 3111–3118.
- https://www.webofknowledge.com (accessed on 10 April 2019).
- https://www.altmetric.com/explorer (accessed on 10 April 2019).
- Rupika, U. A. and Singh, V. K., Measuring the university– industry–government collaboration in Indian research output. Curr. Sci,, 2016, 110(10), 1904.
- https://www.altmetric.com/about-our-data/the-donut-and-score/
- Open Access Levels and Patterns in Scholarly Articles from India
Abstract Views :273 |
PDF Views:71
Authors
Affiliations
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
Source
Current Science, Vol 117, No 9 (2019), Pagination: 1435-1440Abstract
Open access (OA) has emerged as an important movement worldwide during the last decade. There are several calls now that not only persuade researchers to publish in OA journals, to archive their pre- or post-print versions of papers in repositories, but also institutions and funding agencies to promote OA of research publications. This article examines OA levels and patterns in research output by computationally analysing research publication data obtained from the Web of Science for India during the last five years (2014–2018). Results obtained show that about 24% of research output from India, during the last five years, is available in OA compared to world average of about 30%. More articles are available in gold OA compared to green and bronze OA. Furthermore, OA levels vary in different disciplines, with medical science, physics and biology having higher percentage of their articles available as OA as compared to those like arts and humanities, social science and (surprisingly) information science.Keywords
Open Access, Paywall, Scholarly Articles, Scientific Publishing.References
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- Björk, B. C., Gold, green, and black open access. Learn. Publish., 2017, 30, 173–175; doi:10.1002/leap.1096
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- https://images.webofknowledge.com/images/help/WOS/hs_wos_fieldtags.html (accessed on 20 June 2019).
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- Rupika, Uddin, A. and Singh, V. K., Measuring the university– industry–government collaboration in Indian research output. Curr. Sci., 2016, 110(10), 1904.
- Comparing Research Performance of Private Universities in India with IITs, Central Universities and NITs
Abstract Views :231 |
PDF Views:69
Authors
Affiliations
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 GESIS Leibniz Institute of Social Sciences, Cologne, DE
1 Department of Computer Science, South Asian University, New Delhi 110 021, IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
3 GESIS Leibniz Institute of Social Sciences, Cologne, DE
Source
Current Science, Vol 116, No 8 (2019), Pagination: 1304-1313Abstract
During the last two decades the number of private universities in India has increased significantly. According to AISHE report of 2016, out of 799 universities in India, 277 are private universities, i.e. one out of every three universities in India is a private university. A significant proportion of colleges (about 78%) are also privately managed, as they do not contribute much to research activities and hence are not included in this analysis. Private universities are now becoming a major component of the Indian higher education system. Some of the private universities are exclusively positioning and projecting themselves as universities for high quality research and innovation. A few of them are now well placed in the national-level NIRF ranking framework. It is in this context that this paper presents a comparative account of research performance of the 25 most productive private universities with the set of Indian Institutes of Technology (IITs), Central Universities (CUs) and National Institutes of Technology (NITs), all of which have a well-established environment and culture of research. A set-based comparison methodology is followed. The results show good performance of private universities in research, especially in terms of output and rate of growth of output. However, on quality and productivity per capita and per rupee spent, they have a long way to go to match the performance levels of well-established centrally funded higher education institutions of India. This study presents detailed scientometric assessment of some most productive private universities in India.Keywords
Private Universities, Research Performance, Research in India, Research Policy.References
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- Basu, A., Banshal, S. K., Singhal, K. and Singh, V. K., Designing a composite index for research performance evaluation at the national or regional level: ranking Central Universities in India. Scientometrics, 2016, 107(3), 1171–1193.
- Bala, A. and Kumari, S., Research performance of National Institutes of Technology (NITs) of India during 2001–2010: a bibliometric analysis. SRELS J. Inf. Manage., 2013, 50(5), 555–572.
- Banshal, S. K., Solanki, T. and Singh, V. K., Research performance of National Institutes of Technology. Curr. Sci., 2018, 115(11), 2025–2036.
- Prathap, G. and Gupta, B. M., Ranking of Indian engineering and technological institutes for their research performance during 1999–2008. Curr. Sci., 2009, 97(3), 304–306.
- Prathap, G., Benchmarking research performance of the IITs using ‘Web of Science’ and ‘Scopus’ bibliometric databases. Curr. Sci., 2013, 105(8), 1134–1138.
- Prathap, G., The performance of research-intensive higher educational institutions in India. Curr. Sci., 2014, 107(3), 389–396.
- Nishy, P., Panwar, Y., Prasad, S., Mandal, G. K. and Prathap, G., An impact-Citations Exergy (iCX) trajectory analysis of leading research institutions in India. Scientometrics, 2012, 91(1), 245– 251.
- Prathap, G. and Sriram, P., Mega private universities in India: prospects and promise for world-class performance. Curr. Sci., 2017, 113(11), 2165–2167.
- www.nirfindia.org
- Rupika, Uddin, A. and Singh, V. K., Measuring the university– industry–government collaboration in Indian research output. Curr. Sci., 2016, 110(10), 1904–1909.
- Prathap, G., Making scientometric and economic sense out of NIRF 2017 data. Curr. Sci., 2017, 113(7), 1420–1423.
- Preprint Submissions by Indian Scientists in arXiv
Abstract Views :225 |
PDF Views:99
Authors
Affiliations
1 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
2 Department of Computer Science, South Asian University, New Delhi 110 021, IN
1 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, IN
2 Department of Computer Science, South Asian University, New Delhi 110 021, IN
Source
Current Science, Vol 119, No 6 (2020), Pagination: 904-907Abstract
This note analyses the preprint submission patterns of Indian scientists to the popular preprint server arXiv. We analysed research papers published during a five-year period (2014-18) as indexed in the Web of Science and identified how many of these were deposited in arXiv. The discipline-wise distribution of research papers deposited in the repository was also analysed. Results show that overall, only about 3.5% of research papers were deposited in arXiv. The deposits, however, vary across disciplines, ranging from a high of about 23% for physics to a low of 0.4% for agricultural science and biology. We present the overall submission and download statistics for arXiv, and highlight the need for promoting the use of such repositories by the Indian scientific community.Keywords
No Keywords.References
- Ginsparg, P., Nature, 2011, 476(7359), 145–147.
- Van Noorden, R., Nature, 2014; doi:10.1038/nature.2014.16643.
- Lin, J., Yu, Y., Zhou, Y., Zhou, Z. and Shi, X., Scientometrics, 2020, 124, 555–574; https://doi.org/10.1007/s11192-020-03430-8.
- Piryani, R., Dua, J. and Singh, V. K., Curr. Sci., 2019, 117(9), 1435–1440.
- Singh, V. K., Piryani, R. and Srichandan, S. S., Scientometrics, 2020, 124(01), 515– 531.
- Rupika, Uddin, A. and Singh, V. K., Curr. Sci., 2016, 110(10), 1904–1909.
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- Research contribution of major centrally funded institution systems of India
Abstract Views :140 |
PDF Views:82
Authors
Affiliations
1 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, India, IN
1 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, India, IN
Source
Current Science, Vol 123, No 9 (2022), Pagination: 1082-1088Abstract
India is now one of the major knowledge producers in the world, ranking among the top five countries in total research output. The institutional set-up for research and development (R&D) in the country comprises a diverse set, including universities, Government departments, research laboratories and private sector institutions. It may be noted that more than 45% share of India’s gross expenditure on R&D comes from the Central Government. In this context, this article explores the quantum of research contribution of centrally funded institutions and institution systems in India. The volume, proportionate share and growth patterns of research publications from the major centrally funded institutions, organized in 16 groups, are analysed. These institutions account for 67.54% of the country’s research output from 2001 to 2020. The research output of the centrally funded institutions in India has increased steadily since 2001, with a good value for compounded annual growth rate. This article presents noteworthy insights into the scientific research production of India that may be useful to policymakers, researchers and science practitioners. It presents a case for increased activity by the state governments and private sector to further the cause of sustainable and inclusive R&D in the country.Keywords
Central government, gross expenditure, institution systems, knowledge production, research and development.References
- Marisha, Banshal, S. K. and Singh, V. K., Research performance of central universities in India. Curr. Sci., 2017, 112(11), 2198–2207.
- Basu, A., Banshal, S. K., Singhal, K. and Singh, V. K., Designing a composite index for research performance evaluation at the national or regional level: ranking central universities in India. Scientometrics, 2016, 107(3), 1171–1193.
- Banshal, S. K., Singh, V. K., Basu, A. and Muhuri, P. K., Research performance of the Indian Institutes of Technology. Curr. Sci., 2017, 112(5), 923–932.
- Prathap, G. and Gupta, B. M., Ranking of Indian engineering and technological institutes for their research performance during 1999–2008. Curr. Sci., 2009, 97(3), 304–306.
- Prathap, G., Benchmarking research performance of the IITs using ‘Web of Science’ and ‘Scopus’ bibliometric databases. Curr. Sci., 2013, 105(8), 1134–1138.
- Banshal, S. K., Solanki, T. and Singh, V. K., Research performance of the National Institutes of Technology in India. Curr. Sci., 2018, 115(11), 20252036.
- Bala, A. and Kumari, S., Research performance of National Insti-tutes of Technology (NITs) of India during 2001 –2010: a biblio-metric analysis.SRELSJ. Inf. Manage., 2013, 50(5), 555–572.
- Solanki, T., Uddin, A. and Singh, V. K., Research competitiveness of Indian Institutes of Science Education & Research (IISERs). Curr. Sci., 2016, 110(3), 307–310.
- Banshal, S. K., Singh, V. K. and Mayr, P., Comparing research per-formance of private universities in India with IITs, central universi-ties and NITs. Curr .Sci., 2019, 116(8), 1304–1313.
- Prathap, G. and Sriram, P., Mega private universities in India: pro-spects and promise for world-class performance. Curr. Sci., 2017, 113(11), 2165–2167.
- Prathap, G., The performance of research-intensive higher educa-tional institutions in India. Curr. Sci., 2014, 107(3), 389–396.
- Nishy, P., Panwar, Y., Prasad, S., Mandal, G. K. and Prathap, G., An impact–citations exergy (iCX) trajectory analysis of leading re-search institutions in India. Scientometrics, 2012, 91(1), 245–251.
- Rajan, K. S., Swaminathan, S. and Vaidhyasubramaniam, S., Res-earch output of Indian institutions during 2011–2016: quality and quantity perspective. Curr. Sci., 2018, 114(4), 740–746.
- Prathap, G., Comparative evaluation of research in IISc, IITs, NUS and NTU using CWTS Leiden Ranking 2017 data. Curr. Sci., 2018, 114(3), 442–443.
- Prathap, G., Making scientometric and economic sense out of NIRF 2017 data. Curr. Sci., 2017, 113(7), 1420–1423.
- Singh, V. K. et al., Indian Science Reports: a web -based sciento-metric portal for mapping Indian research competencies at overall and institutional levels. Scientometrics, 2022, 127(7), 4227–4236; doi:10.1007/s11192-022-04395-6.
- DST, S&T indicators tables: research and development statistics 2019–2020. Department of Science and Technology, Ministry of Sci-ence and Technology, Government of India, 2020; www.dst.gov.in
- Assessing the impact of air pollution on trees and crops in the Eastern Gangetic Plains of India
Abstract Views :120 |
PDF Views:77
Authors
Rachana Dubey
1,
Arbind Kumar Choudhary
1,
Shreetu Singh
2,
Anurag Ajay
3,
Santosh Kumar
1,
Rakesh Kumar
1,
Surajit Mondal
1,
Vivek Kumar Singh
1
Affiliations
1 ICAR-Research Complex for Eastern Region, Patna 800 014, India, IN
2 Amity University, Noida 201 301, India, IN
3 International Maize and Wheat Improvement Centre, Patna 800 025, India, IN
1 ICAR-Research Complex for Eastern Region, Patna 800 014, India, IN
2 Amity University, Noida 201 301, India, IN
3 International Maize and Wheat Improvement Centre, Patna 800 025, India, IN
Source
Current Science, Vol 124, No 8 (2023), Pagination: 956-963Abstract
Air pollution is one of the environmental concerns which is a threat to the health of our plants and animals. Little knowledge exists in the literature about its impact on trees and crops. The objective of the present study was to assess the impact of air pollutants on the biochemical parameters of 19 tree and crop species from five different locations in Patna, Bihar, India. Air pollution tolerance index value showed that Ficus religiosa, Zea mays, Carthamus tinctorius and Cajanus cajan were more tolerant compared to the other crops. Anticipated performance index value showed that trees like F. religiosa, Azadirachta indica and Mangifera indica and crops like C. cajan, Z. mays and Triticum aestivum were most suitable under air pollution conditionKeywords
Air pollution tolerance index, anticipated performance index, particulate matter, trees and crops.References
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- Mapping the Research Output From Indian States
Abstract Views :85 |
PDF Views:55
Authors
Affiliations
1 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, India., IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, India; School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248 007, India., IN
1 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, India., IN
2 Department of Computer Science, Banaras Hindu University, Varanasi 221 005, India; School of Computer Science, University of Petroleum and Energy Studies, Dehradun 248 007, India., IN
Source
Current Science, Vol 124, No 11 (2023), Pagination: 1245-1255Abstract
India is now one of the major knowledge producers in the world, ranking among the top five coun-tries in total research output. The research output is contributed by various institutions located in different states and regions of the country. There are, however, no existing studies on the amount of research output contributed by each state. Therefore, in this study, we undertook a territorial mapping of research output from India at the level of different states. Research output data for the country for the last 20 years (2001–20) were obtained from the Web of Science database, and publications were tagged to different states based on the location of the affiliating institution of the publication. The results show that Tamil Nadu, Maharashtra, Delhi, West Bengal, Karnataka, and Uttar Pradesh are among the top contributors, in that order. Almost all major states showed an increase in absolute re-search output during 2001–20. However, in relative terms, Tamil Nadu, Bihar and Punjab showed interesting growth patterns. Chandigarh and Puducherry had high total publications/gross state domestic product values. The analytical results of this study present useful quantitative measures of the research contributions of different states in India. Some probable reasons for the observed pat-terns and certain policy suggestions are also discussed in this study.Keywords
Knowledge Producers, Mapping, Quantitative Measures, Research Output, Scientific Institutions.References
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- Banshal, S. K., Singh, V. K., Basu, A. and Muhuri, P. K., Research performance of the Indian Institutes of Technology. Curr. Sci., 2017, 112(5), 923–932.
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- Banshal, S. K., Solanki, T. and Singh, V. K., Research performance of the National Institutes of Technology in India. Curr. Sci., 2018, 115(11), 2025–2036.
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