Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)

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Keyword Analysis of Research Trends in ‘Scientometrics’ Journal from 2014 to 2018


Affiliations
1 Maharaja Institute of Technology Mysore, Mandya − 571477, Karnataka, India
2 DOS in Library and Information Science, University of Mysore, Mysuru − 570005, Karnataka, India
     

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Abstract Keyword analysis technique has been employed to measure the frequency of author-supplied keywords that represent contents and concepts. To identify patterns, trends and intellectual structure of Scientometrics publications from 2014 to 2018, the study examined 7879 keywords from 1548 articles extracted from the SpringerLink database. Further, these keywords were standardised using vocabulary tools. The period considered for the study is divided into two sectors, i.e. 2014-2016 and 2017-2018 with the intention of rendering dynamic changes in research interest in recent period. The results show that Bibliometric analysis and subsequently Citation analysis have been the most popular research topics. Scientometrics, Network analysis, Patent analysis, and Altmetrics have emerged during the study period. The study shows that published content indicates some well-established research topics.

Keywords

Keyword Analysis, Keyword Network, Research Trends, Scientometrics.
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About The Authors

R. Ashoka
Maharaja Institute of Technology Mysore, Mandya − 571477, Karnataka
India

N. S. Harinarayana
DOS in Library and Information Science, University of Mysore, Mysuru − 570005, Karnataka
India


Notifications

  • Kontostathis, A., Galitsky, L. M., Pottenger, W. M., Roy, S. and Phelps, D. J. (2004). A Survey of Emerging Trend Detection in Textual Data Mining. Survey of Text Mining, In: M. W. Berry (Ed.), Springer New York.; 2004. p. 185-224. https://doi.org/10.1007/978-1-4757-4305-0_9.

  • Mooghali, A., Alijani, R., Karami, N., and Khasseh, A. (2011). Scientometric analysis of the scientometric literature. International Journal of Information Science and Management, 9(1), 19-31.

  • Dora, M. and Anil Kumar, H. (2017). An empirical analysis of the research trends in the field of library and information science in India - 2004-2015. COLLNET Journal of Scientometrics and Information Management, 11(2), 361-378. https://doi.org/10.1080/09737766.2017.1317959.

  • Ravikumar, S., Agrahari, A. and Singh, S. N. (2015). Mapping the intellectual structure of scientometrics: A co-word analysis of the journal Scientometrics (2005-2010). Scientometrics, 102(1), 929-955. https://doi.org/10.1007/s11192-014-1402-8.

  • Lee, S. (2016). A study on research trends in public library research in Korea using keyword networks. Libri, 66(4). https://doi.org/10.1515/libri-2016-0052.

  • Chen, X., Chen, J., Wu, D., Xie, Y. and Li, J. (2016). Mapping the research trends by co-word analysis based on keywords from funded project. Procedia Computer Science, 91, 547-555. https://doi.org/10.1016/j.procs.2016.07.140.

  • Wang, X., Cheng, Q. and Lu, W. (2014). Analyzing evolution of research topics with NE Viewer: A new method based on dynamic co-word networks. Scientometrics, 101(2), 1253-1271. https://doi.org/10.1007/s11192-014-1347-y.

  • Ding, Y., Chowdhury, G. G. and Foo, S. (2001). Bibliometric cartography of information retrieval research by using coword analysis. Information Processing and Management, 37(6), 817-842. https://doi.org/10.1016/S0306-4573(00)00051-0.

  • Hunt, C. A., Gao, J. and Xue, L. (2014). A visual analysis of trends in the titles and keywords of top-ranked tourism journals. Current Issues in Tourism, 17(10), 849-855. https://doi.org/10.1080/13683500.2014.900000.

  • Harinarayana, N. S. and Vasantha Raju, N. (2013). Current trends in Webometrics research. SRELS Journal of Information Management, 50(5), 657-665.

  • Zong, Q.-J., Shen, H.-Z., Yuan, Q.-J., Hu, X.-W., Hou, Z.-P. and Deng, S.-G. (2013). Doctoral dissertations of Library and Information Science in China: A co-word analysis. Scientometrics, 94(2), 781-799. https://doi.org/10.1007/s11192-012-0799-1.


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  • Keyword Analysis of Research Trends in ‘Scientometrics’ Journal from 2014 to 2018

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Authors

R. Ashoka
Maharaja Institute of Technology Mysore, Mandya − 571477, Karnataka, India
N. S. Harinarayana
DOS in Library and Information Science, University of Mysore, Mysuru − 570005, Karnataka, India

Abstract


Abstract Keyword analysis technique has been employed to measure the frequency of author-supplied keywords that represent contents and concepts. To identify patterns, trends and intellectual structure of Scientometrics publications from 2014 to 2018, the study examined 7879 keywords from 1548 articles extracted from the SpringerLink database. Further, these keywords were standardised using vocabulary tools. The period considered for the study is divided into two sectors, i.e. 2014-2016 and 2017-2018 with the intention of rendering dynamic changes in research interest in recent period. The results show that Bibliometric analysis and subsequently Citation analysis have been the most popular research topics. Scientometrics, Network analysis, Patent analysis, and Altmetrics have emerged during the study period. The study shows that published content indicates some well-established research topics.

Keywords


Keyword Analysis, Keyword Network, Research Trends, Scientometrics.

References