Keyword Analysis of Research Trends in ‘Scientometrics’ Journal from 2014 to 2018
Authors
-
Maharaja Institute of Technology Mysore, Mandya − 571477, Karnataka
R. Ashoka -
DOS in Library and Information Science, University of Mysore, Mysuru − 570005, KarnatakaN. S. Harinarayana
DOI:
https://doi.org/10.17821/srels/2022/v59i3/165826Keywords:
Keyword Analysis, Keyword Network, Research Trends, ScientometricsAbstract
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.
Downloads
Metrics
References
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. DOI: 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. DOI: https://doi.org/10.1080/09737766.2017.1317959
Ravikumar, S., Agrahari, A. and Singh, S. N. (2015). Mapping the intellectual structure of scientometrics: A coword analysis of the journal Scientometrics (2005-2010). Scientometrics, 102(1), 929-955. https://doi.org/10.1007/s11192-014-1402-8. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: https://doi.org/10.1007/s11192-012-0799-1
Downloads
Published
How to Cite
Issue
Section
License
All the articles published in Journal of Information and Knowledge are held by the Publisher. Sarada Ranganathan Endowment for Library Science (SRELS), as a publisher requires its authors to transfer the copyright prior to publication. This will permit SRELS to reproduce, publish, distribute and archive the article in print and electronic form and also to defend against any improper use of the article.
Accepted 2022-06-16
Published 2022-06-13
