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Marisha,
- Research Performance of Central Universities in India
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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.
- Scientometric Analysis of Current Science
Abstract Views :304 |
PDF Views:70
Authors
Marisha
1
Affiliations
1 School of Science, UP Rajarshi Tandon Open University, Prayagraj 211 021, IN
1 School of Science, UP Rajarshi Tandon Open University, Prayagraj 211 021, IN
Source
Current Science, Vol 117, No 2 (2019), Pagination: 190-197Abstract
This article presents a scientometric analysis of Current Science. The publications of the journal have been analysed for a 28-year period (1990–2017). Several different parameters such as output pattern, collaboration trend, citation pattern, contributing countries and organizations, highly cited papers, etc. have been analysed. Graphs of keyword co-occurrences have also been generated to analyse the important themes of research and their trends over the years. The journal has been in existence for more than 85 years and, according to our knowledge there have been no earlier attempts towards its scientometric characterization. We find that the journal output has increased over the years. The authorship trend is found to be towards multi-authored papers. A fair percentage of the publications in the journal is cited. The rate of international collaboration is, however, not very high and most of the publications in the journal are from India. Major change is observed in the themes and trends of content published in Current Science during the study period, although the journal has remained India-focused.Keywords
Bibliometrics, Current Science, Research Themes and Trends, Scientometric Analysis.References
- Krishnan, R. and Balaram, P., Current Science: some early history. Curr. Sci., 2007, 92(1), 129–138; https://www.currentscience.ac.in/Downloads/article_id_092_01_0129_0138_0.pdf
- Biljecki, F., A scientometric analysis of selected GIScience journals. Int. J. Geogr. Inf. Sci., 2016, 30(7), 1302–1335; doi:10.1080/13658816.2015.1130831.
- Davarpanah, M. R. and Aslekia, S., A scientometric analysis of international LIS journals: productivity and characteristics. Scientometrics, 2008, 77(1), 21–39; doi:10.1007/s11192-007-1803-z.
- Lowry, P. B., Humpherys, S. L., Malwitz, J. and Nix, J., A scientometric study of the perceived quality of business and technical communication journals. IEEE Trans Prof Commun., 2007, 50(4), 352–378; doi:10.1109/TPC.2007.908733.
- Schloegl, C. and Stock, W. G., Impact and relevance of LIS journals: a scientometric analysis of international and Germanlanguage LIS journals – Citation analysis versus reader survey. J. Am. Soc. Inf. Sci. Technol., 2004, 55(13), 1155–1168; doi:10.1002/asi.20070.
- Andrikopoulos, A. and Trichas, G., Publication patterns and coauthorship in the Journal of Corporate Finance. J. Corp. Financ., 2018, 51, 98–108; doi:10.1016/j.jcorpfin.2018.05.008.
- Bharvi, D., Garg, K. C. and Bali, A., Scientometrics of the international journal Scientometrics. Scientometrics, 2003, 56(1), 81– 93; doi:10.1023/A:1021950607895.
- Nishy, P., Parvatharajan, P. and Prathap, G., Visibility and impact of the Indian Journal of Chemistry, Section B during 2005–2009 using scientometric techniques. Indian J. Chem. – Sect. B, 2012, 51(1), 269–284.
- Ravikumar, S, Agrahari, A. and Singh, S. N., Mapping the intellectual structure of scientometrics: a co-word analysis of the journal Scientometrics (2005–2010). Scientometrics, 2015, 102(1), 929–955; doi:10.1007/s11192-014-1402-8.
- Young, L., Wilkinson, I. and Smith, A., A scientometric analysis of publications in the Journal of Business-to-Business Marketing 1993–2014. J. Bus.-Bus Market, 2015, 22(1–2), 111–123; doi:10.1080/1051712X.2015.1021591.
- Arkhipov, D. B., Scientometric analysis of Nature, the journal. Scientometrics, 1999, 46(1), 51–72; doi:10.1007/BF02766295.
- Serenko, A. and Bontis, N., Meta-review of knowledge management and intellectual capital literature: citation impact and research productivity rankings. Knowl. Process. Manage., 2004, 11(3), 185–198; doi:10.1002/kpm.203.
- Egghe, L. and Ravichandra Rao, I. K., Citation age data and the obsolescence function: fits and explanations. Inf. Process. Manage., 1992, 28(2), 201–217; doi:10.1016/0306-4573(92)90046-3.
- Huang, D., Temporal evolution of multi-author papers in basic sciences from 1960 to 2010. Scientometrics, 2015, 105(3), 2137– 2147; doi:10.1007/s11192-015-1760-x.
- Kishor, P. B. K. et al., Regulation of proline biosynthesis, degradation, uptake and transport in higher plants: its implications in plant growth and abiotic stress tolerance. Curr Sci., 2005, 88(3), 424–438.
- Aria, M. and Cuccurullo, C., Bibliometrix: an R-tool for comprehensive science mapping analysis. J. Informetr., 2017, 11(4), 959– 975; doi:10.1016/j.joi.2017.08.007.
- Pons, P. and Latapy, M., Computing communities in large networks using random walks. In Computer and Information Sciences – ISCIS 2005 (eds Yolum et al.), Lecture Notes in Computer Science, Springer, 2005, vol. 3733, pp. 284–293; doi:10.1007/11569596_31.