Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Emerging trends and new developments in information science: a document co-citation analysis (2009–2016)

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Characterizing the structure of knowledge, the evolution of research topics, and the emergence of topics has always been an important part of information science (IS). Our previous scientometric review of IS provided a snapshot of this fast-growing field up to the end of 2008. This new study aims to identify emerging trends and new developments appearing in the subsequent 7574 articles published in 10 IS journals between 2009 and 2016, including 20,960 references. The results of a document co-citation analysis show great changes in the research topics in the IS domain. The positions of certain core topics found in the previous study, namely, information retrieval, webometrics, and citation behavior, have been replaced by scientometric indicators (H-index), citation analysis (citation performance and bibliometrics), scientific collaboration, and information behavior in the most recent period of 2009–2016. Dual-map overlays of journals show that the knowledge base of IS research has shifted considerably since 2010, with emerging topics including scientific evaluation indicators, altmetrics, science mapping and visualization, bibliometrics, citation analysis, and scientific collaboration.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Aharony, N. (2012). Library and information science research areas: A content analysis of articles from the top 10 journals 2007–8. Journal of Librarianship and Information Science, 44(1), 27–35.

    Article  Google Scholar 

  • Albarran, P., & Ruiz-Castillo, J. (2011). References made and citations received by scientific articles. Journal of the American Society for Information Science and Technology, 62(1), 40–49.

    Article  Google Scholar 

  • Astrom, F. (2007). Changes in the LIS research front: Time-sliced co-citation analyses of LIS journal articles, 1990–2004. Journal of the American Society for Information Science and Technology, 58(7), 947–957.

    Article  Google Scholar 

  • Bar-Ilan, J. (2008). Informetrics at the beginning of the 21st century—A review. Journal of Informetrics, 2(1), 1–52.

    Article  Google Scholar 

  • Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008.

    Article  Google Scholar 

  • Bornmann, L. (2012). Measuring the societal impact of research. EMBO Reports, 13(8), 673–676.

    Article  Google Scholar 

  • Bornmann, L. (2013). How to analyze percentile citation impact data meaningfully in bibliometrics: The statistical analysis of distributions, percentile rank classes, and top-cited papers. Journal of the American Society for Information Science and Technology, 64(3), 587–595.

    Article  Google Scholar 

  • Bornmann, L., & Daniel, H. D. (2008). What do citation counts measure? A review of studies on citingbehavior. Journal of Documentation, 64(1), 45–80.

    Article  Google Scholar 

  • Bornmann, L., Mutz, R., Hug, S. E., & Daniel, H. D. (2011). A multilevel meta-analysis of studies reporting correlations between the h index and 37 different h index variants. Journal of Informetrics, 5(3), 346–359.

    Article  Google Scholar 

  • Chang, Y. W., Huang, M. H., & Lin, C. W. (2015). Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses. Scientometrics, 105(3), 2071–2087.

    Article  Google Scholar 

  • Chen, C. (2006). CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature. Journal of the American Society for Information Science and Technology, 57(3), 359–377.

    Article  Google Scholar 

  • Chen, C. (2017). Science mapping: A systematic review of the literature. Journal of Data and Information Science, 2(2), 1–39.

    Article  Google Scholar 

  • Chen, C., Dubin, R., & Kim, M. C. (2014). Emerging trends and new developments inregenerativemedicine: A scientometric update (2000–2014). Expert Opinion on Biological Therapy, 14(9), 1295–1317.

    Article  Google Scholar 

  • Chen, C., Hu, Z., Liu, S., & Tseng, H. (2012). Emerging trends in regenerative medicine: A scientometric analysis in CiteSpace. Expert Opinions on Biological Therapy, 12(5), 593–608.

    Article  Google Scholar 

  • Chen, C., Ibekwe-SanJuan, F., & Hou, J. H. (2010). The structure and dynamics of cocitation clusters: A multiple-perspective co-citation analysis. Journal of the American Society for Information Science and Technology, 61(7), 1386–1409.

    Article  Google Scholar 

  • Chen, C., & Leydesdorff, L. (2014). Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis. Journal of the American Society for Information Science and Technology, 65(2), 334–351.

    Google Scholar 

  • Cimenler, O., Reeves, K. A., & Skvoretz, J. (2014). A regression analysis of researchers’ social network metrics on their citation performance in a college of engineering. Journal of Informetrics, 8(3), 667–682.

    Article  Google Scholar 

  • D'Angelo, C. A., Giuffrida, C., & Abramo, G. (2011). A heuristic approach to author name disambiguation in bibliometrics databases for large-scale research assessments. Journal of the American Society for Information Science and Technology, 62(2), 257–269.

    Article  Google Scholar 

  • De Bellis, N. (2009). Bibliometrics and citation analysis: From the science citation index to cybermetrics. Lanham, MD: Scarecrow Press.

    Google Scholar 

  • Egghe, L. (2006). Theory and practice of the g-index. Scientometrics, 69(1), 131–152.

    Article  MathSciNet  Google Scholar 

  • Engels, T. C. E., Ossenblok, T. L. B., & Spruyt, E. H. J. (2012). Changing publication patterns in the Social Sciences and Humanities, 2000–2009. Scientometrics, 93(2), 373–390.

    Article  Google Scholar 

  • Eysenbach, G. (2011). Can tweets predict citations? Metrics of social impact based on twitter and correlation with traditional metrics of scientific impact. Journal of Medical Internet Research, 13(4), e123.

    Article  Google Scholar 

  • Fiala, D., Subelj, L., Zitnikl, S., & Bajec, M. (2015). Do PageRank-based author rankings outperform simple citation counts? Journal of Informetrics, 9(2), 334–348.

    Article  Google Scholar 

  • Fidel, R. (2012). An Ecological Approach to Information Behavior: Conclusions (pp. 253–254). Cambridge: MIT Press.

    Book  Google Scholar 

  • Finardi, U. (2013). Correlation between journal impact factor and citation performance: An experimental study. Journal of Informetrics, 7(2), 357–370.

    Article  Google Scholar 

  • Franceschet, M. (2010). A comparison of bibliometric indicators for computer science scholars and journals on Web of Science and Google Scholar. Scientometrics, 83(1), 243–258.

    Article  Google Scholar 

  • Glanzel, W., & Schubert, A. (2005). Domesticity and internationality in co-authorship, references and citations. Scientometrics, 65(3), 323–342.

    Article  Google Scholar 

  • Glenisson, P., Glänzel, W., & Persson, O. (2005a). Combining full text analysis and bibliometric indicators. A pilot study. Scientometrics, 63(1), 163–180.

    Article  Google Scholar 

  • Glenisson, P., Jassens, F., & Moor, D. B. (2005b). Combining full text and bibliometric information in mapping scientific disciplines. Information Processing and Management, 41(6), 1548–1572.

    Article  Google Scholar 

  • González-Pereira, B., Guerrero-Bote, V. P., & Moya-Anegón, F. (2010). A new approach to the metric of journals’ scientific prestige: The SJR indicator. Journal of Informetrics, 4(3), 379–391.

    Article  Google Scholar 

  • Gorraiz, J., Purnell, P. J., & Glanzel, W. (2013). Opportunities for and limitations of the book citation index. Journal of the American Society for Information Science and Technology, 64(7), 1388–1398.

    Article  Google Scholar 

  • Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output that takes into account the effect of multiple coauthorship. Scientometrics, 85(3), 741–754.

    Article  Google Scholar 

  • Ibekwe-SanJuan, F. (2009). Information science in the web era: A term-based approach to domain mapping. In Annual meeting of american society for information science and technology, November 6–11, 2009, Vancouver, Canada (pp 1–13).

  • Janssens, F., Glänzel, W., & Moor, D. B. (2008). A hybrid mapping of information science. Scientometrics, 75(3), 607–631.

    Article  Google Scholar 

  • Janssens, F., Leta, J., Glänzel, W., & de Moor, B. (2006). Towards mapping library and information science. Information Processing and Management, 42(6), 1614–1642.

    Article  Google Scholar 

  • Jassens, F., Glenisson, P., Glänzel, W., & De Moor, B. (2005). Co-clustering approaches to integrate lexical and bibliographical information. ISSI 2005. In Proceedings of the 10th international conference of the international society for scientometrics and informetrics, Vols. 1 and 2(pp. 284–289).

  • Jeong, Y. K., Song, M., & Ding, Y. (2014). Content-based author co-citation analysis. Journal of Informetrics, 8(1), 197–211.

    Article  Google Scholar 

  • Jin, B. H., Liang, L. M., Rousseau, R., & Egghe, L. (2007). The R- and AR-indices: Complementing the h-index. Chinese Science Bulletin, 52(6), 855–863.

    Article  Google Scholar 

  • Kim, M. C., & Chen, C. (2015). A scientometric review of emerging trends and new developments in recommendation systems. Scientometrics, 104(1), 239–263.

    Article  Google Scholar 

  • Klavans, R., & Boyack, K. W. (2011). Using global mapping to create more accurate document-level maps of research fields. Journal of the American Society for Information Science and Technology, 62(1), 1–18.

    Article  Google Scholar 

  • Klavans, R., Persson, O., & Boyack, K. W. (2009). Coco at the copacabana: Introducing co-cited author pair co-citation (Coco) analysis. In Proceedings of the international conference on scientometrics and informetrics. Rio de JaneiroBRAZIL, 2009.

  • Li, X. F., Jiang, W. M., Yang, H. L., Tang, T. S., Gong, X. H., Yuan, J., et al. (2010). Surgical treatment of chronic C1-C2 dislocation with absence of odontoid process using C1 hooks with C2 pedicle screws a case report and review of literature. SPINE, 36(18), E1245–E1249.

    Article  Google Scholar 

  • Liu, X. M., Zhou, X. Q., & Lu, C. (2005). Four-wave mixing assisted stability enhancement: Theory, experiment, and application. Optics Letters, 30(17), 2257–2259.

    Article  Google Scholar 

  • Liu, Y., & Yang, Y. L. (2014). Empirical study of L-sequence: The basic h-index sequence for cumulative publications with consideration of the yearly citation performance. Journal of Informetrics, 8(3), 478–485.

    Article  Google Scholar 

  • Milojević, S., & Leydesdorff, L. (2013). Information metrics (iMetrics): A research specialty with a socio-cognitive identity? Scientometrics, 95(1), 141–157.

    Article  Google Scholar 

  • Milojević, S., Sugimoto, C. R., Yan, E., & Ding, Y. (2011). The cognitive structure of library and information science: Analysis of article title words. Journal of the American Society for Information Science and Technology, 62(10), 1933–1953.

    Article  Google Scholar 

  • Nederhof, A. J. (2006). Bibliometric monitoring of research performance in the social sciences and the humanities: A review. Scientometrics, 66(1), 81–100.

    Article  MathSciNet  Google Scholar 

  • Nisonger, T. E., & Davis, C. H. (2005). The perception of library and information science journals by LIS education deans and ARL library directors: A replication of the Kohl-Davis study. College and Research Libraries, 66(4), 341–377.

    Article  Google Scholar 

  • Persson, O. (1994). The intellectual base and research fronts of JASIS 1986–1990. Journal of the American Society for Information Science, 45(1), 31–38.

    Article  Google Scholar 

  • Persson, O. (2001). All author citations versus first author citations. Scientometrics, 50(2), 339–344.

    Article  MathSciNet  Google Scholar 

  • Persson, O. (2010). Identifying research themes with weighted direct citation links. Journal of Informetrics, 4(3), 415–422.

    Article  MathSciNet  Google Scholar 

  • Priem, J., & Hemminger, B. H. (2010). Scientometrics 2.0: New metrics of scholarly impact on the social Web. First Monday. https://doi.org/10.5210/fm.v15i7.2874.

    Google Scholar 

  • Rafols, I., & Meyer, M. (2010). Diversity and network coherence as indicators of interdisciplinarity: Case studies in bionanoscience. Scientometrics, 82(2), 263–287.

    Article  Google Scholar 

  • Rafols, I., Porter, A. L., & Leydesdorff, L. (2010). Science overlay maps: A new tool for research policy and library management. Journal of the American Society for Information Science and Technology, 61(9), 1871–1887.

    Article  Google Scholar 

  • Sonnenwald, D. H. (2007). Scientific collaboration. Annual Review of Information Science and Technology, 41, 643–681.

    Article  Google Scholar 

  • Stirling, A., Lobstein, T., & Millstone, E. (2007). Methodology for obtaining stakeholder assessments of obesity policy options in the PorGrow project. Obesity Reviews, 8(z2), 17–27.

    Article  Google Scholar 

  • Thelwall, M. (2016). Citation count distributions for large monodisciplinary journals. Journal of Informetrics, 10(3), 863–874.

    Article  Google Scholar 

  • Thelwall, M., Haustein, S., Lariviere, V., & Sugimoto, C. R. (2013). Do altmetrics work? Twitter and ten other social web services. Plos One, 8(5), e64841.

    Article  Google Scholar 

  • Thelwall, M., & Maflahi, N. (2015). How important is computing technology for library and information science research? Library and Information Science Research, 37(1), 40–50.

    Article  Google Scholar 

  • Tuomaala, O., Jarvelin, K., & Vakkari, P. (2014). Evolution of library and information science, 1965–2005: Content analysis of journal articles. Journal of the Association for Information Science and Technology., 65(7), 1446–1462.

    Article  Google Scholar 

  • VanDenBesselaar, P., & Heimeriks, G. (2006). Mapping research topics using word-reference co-occurrences: A method and an exploratory case study. Scientometrics, 68(3), 377–393.

    Article  Google Scholar 

  • van Eck, N. J., & Waltman, L. (2009). How to normalize cooccurrence data? An analysis of some well-known similarity measures. Journal of the American Society for Information Science and Technology, 60(8), 1635–1651.

    Article  Google Scholar 

  • van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538.

    Article  Google Scholar 

  • Wagner, C. S., Shehata, S., Henzler, K., Yuan, J. Y., & Wittemann, A. (2011). Towards nanoscale composite particles of dual complexity. Journal of Colloid and Interface Science, 355(1), 115–123.

    Article  Google Scholar 

  • Waltman, L., Calero-Medina, C., Kosten, J., Noyons, E. C. M., Tijssen, R. J. W., van Eck, N. J., et al. (2012). The Leiden ranking 2011/2012: Data collection, indicators, and interpretation. Journal of the American Society for Information Science and Technology, 63(12), 2419–2432.

    Article  Google Scholar 

  • Waltman, L., & Van Eck, N. J. (2012a). A new methodology for constructing a publication-level classification system of science. Journal of the American Society for Information Science and Technology, 63(12), 2378–2392.

    Article  Google Scholar 

  • Waltman, L., & Van Eck, N. J. (2012b). The inconsistency of the h-index. Journal of the American Society for Information Science and Technology, 63(2), 406–415.

    Article  Google Scholar 

  • Wang, J., Duncan, D., Shi, Z., & Zhang, B. (2013). WEB–based GEne SeT AnaLysis Toolkit (WebGestalt): Update 2013. Nucleic Acids Research, 41(W1), W77–W83.

    Article  Google Scholar 

  • Weingart, P. (2005). Impact of bibliometrics upon the science system:Inadvertent consequences? Scientometrics, 62(1), 117–131.

    Article  Google Scholar 

  • White, H. D. (2003). Pathfinder networks and author cocitation analysis: A remapping of paradigmatic information scientists. Journal of the American Society for Information Science and Technology, 54(5), 423–434.

    Article  Google Scholar 

  • White, H. D., & Griffith, B. C. (1981). Author cocitation: A literature measure of intellectual structure. Journal of the American Society for Information Science, 32, 163–172.

    Article  Google Scholar 

  • White, H. D., & McCain, K. W. (1998). Visualizing a discipline: An author co-citation analysis of information science 1972–1995. Journal of the American Society for Information Science, 49(4), 327–355.

    Google Scholar 

  • Wouters, P., & Costas, R. (2012). Users, narcissism and control—Tracking the impact of scholarly publications in the 21st century. Report for the Surf Foundation.

  • Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The increasing dominance of teams in production of knowledge. Science, 316(5827), 1036–1039.

    Article  Google Scholar 

  • Yang, S. L., Han, R. Z., Wolfram, D., & Zhao, Y. H. (2016). Visualizing the intellectual structure of information science (2006–2015): Introducing author keyword coupling analysis. Journal of Informetrics, 10(1), 132–150.

    Article  Google Scholar 

  • Yang, S. L., & Wang, F. F. (2015). Visualizing information science: Author direct citation analysis in China and around the world. Journal of Informetrics, 9(1), 208–225.

    Article  Google Scholar 

  • Zhang, J. A., Vogeley, M. S., & Chen, C. M. (2011). Scientometrics of big science: A case study of research in the Sloan Digital Sky Survey. Scientometrics, 86(1), 1–14.

    Article  Google Scholar 

  • Zhao, D. Z., & Strotmann, A. (2008a). Evolution of research activities and intellectual influences in information science 1996–2005: Introducing author bibliographic-coupling analysis. Journal of the American Society for Information Science and Technology, 59(13), 2070–2086.

    Article  Google Scholar 

  • Zhao, D. Z., & Strotmann, A. (2008b). Information science during the first decade of the web: an enriched author co-citation analysis. Journal of the American Society for Information Science and Technology, 59(6), 916–937.

    Article  Google Scholar 

  • Zhao, D. Z., & Strotmann, A. (2008c). Comparing all-author and first-author co-citation analyses of information science. Journal of Informetrics, 2(3), 229–239.

    Article  Google Scholar 

  • Zhao, D. Z., & Strotmann, A. (2014). The knowledge base and research front of information science 2006–2010: An author cocitation and bibliographic coupling analysis. Journal of the Association for Information Science and Technology, 65(5), 995–1006.

    Article  Google Scholar 

  • Zhao, Y. H., & Zhao, R. Y. (2016). An evolutionary analysis of collaboration networks in scientometrics. Scientometrics, 107(2), 759–772.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank the editor and reviewers. This research was supported by the National Social Science Foundation of China under Grant 17BGL031.

Author information

Authors and Affiliations

  1. Research Center of Science Technology and Society, Dalian University, Dalian, 116622, China

    Jianhua Hou

  2. College of Information Engineering, Dalian University, Dalian, 116622, China

    Xiucai Yang

  3. College of Computing and Informatics, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104-2875, USA

    Chaomei Chen

Authors
  1. Jianhua Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiucai Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chaomei Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jianhua Hou.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hou, J., Yang, X. & Chen, C. Emerging trends and new developments in information science: a document co-citation analysis (2009–2016). Scientometrics 115, 869–892 (2018). https://doi.org/10.1007/s11192-018-2695-9

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-018-2695-9

Keywords

Search

Navigation