Libraries at University of Nebraska-Lincoln

 

Date of this Version

12-2018

Document Type

Article

Citation

  1. Cooper, R. B., Blair, D., and Pao, M. (1993). Communicating MIS Research: A Citation Study of Journal Influence. Information Processing & Management, 29(1), 113-127.
  2. Cote, J. A., Leong, S. M., and Cote, J. (1991). Assessing the Influence of Journal of Consumer Research: A Citation Analysis. Journal of Consumer Research, 18, 402-410.
  3. Dash, N. K., Sahoo, J. and Mohanty, B. (2015). Evolution of Library Assessment Literature – A Bibliometric Analysis of LAC Proceedings. in Innovative Librarianship: Adapting to Digital Realities in Proceedings of 10th International CALIBER – 2015, March 12-14, HP University, IIAS, Shimla and INFLIBNET Centre, Himachal Pradesh, India, 91- 103.
  4. Frame, J. D. (1977). Mainstream Research in Latin America and Caribbean, Interciencia, 2, 143-148.
  5. Garcia, P., et al. (2005). Evolution of Spanish Scientific Production in International Obstetrics and Gynecology Journals during the period 1986-2002. Journal of Obstetrics & Gynecology and Reproductive Biology, 123, 150-156.
  6. Garfield, E. (1979). Citation Indexing: Its Theory and Application in Science, Technology, and Humanities. New York, NY: Wiley.
  7. Garg, K. C., and Padhi, P. (2001). A Study of Collaborations in Laser Science Technology, Scientometrics, 51, 415-427.
  8. Gorla, N., and Walker, G. (1998). Is the lack of keyword synergism inhibiting maturation in the MIS theory? An exploratory perspective. Information Processing & Management, 34 (2/3), 325-339.
  9. Jackson, D. N., and Rushton, P. (1987). Scientific Excellence: Origins and Assessment. Beverly Hills, CA: Sage.
  10. Kuhn, T. (1996). The Structure of Scientific Revolutions, 3rd edition, Chicago, IL: University of Chicago.
  11. Leong, S. M. (1989). A Citation Analysis of the Journal of Consumer Research. Journal of Consumer Research, 5(March), 492-497.
  12. Lotka, A. J. (1926). Frequency distribution of scientific productivity. Journal of Washington Academic Science, 16(12), 317-323.
  13. Miler, G. A., Newman, E. B., and Friedman, E. A. (1958). Length-frequency statistics for written English. 1, 370-389.
  14. Mohanty, B., and Sahoo, J. (2016). The Intellectual Patterns of Management Information System Research: A Bibliometric study on International Journal of Management Reviews, Library Philosophy and Practice (e-journal). http://digitalcommons.unl.edu/libphilprac/1402/
  15. Mylonopoulos, N., and Theoharakis, V. (2001). Global Perceptions of IS Journals. Communications of the ACM, 9(44), 29-33.
  16. Potter, W. G. (1981). Lotka’s Law revisited. Library Trends, 30, 21-29.
  17. Sahoo, J., and Mohanty, B. (2002). Communication Pattern in the Journals “Studies in Conservation”: A Bibliometric Analysis. ILA Bulletin, 38(3), 2002, 98 – 105.
  18. Schubert, A., and Barun T. (1986). Relative Indicators and Relational Charts for Comparative Assessment of Publication Output and Citation Impact, Scientometrics, 9, 281-291.
  19. Sethi, B. B., Sahoo, J., and Mohanty, B. (2014). A Bibliometric Sketch on Environmental Science Literature with special reference to India’s Scenario. Library Philosophy and Practice (e-journal). Paper 1174. (8/2014). http://digitalcommons.unl.edu/libphilprac/1174
  20. Sevukan, R. et. al. (2007). Research Output of Faculties of Plant Sciences in Central Universities of India: a Bibliometric Study, Annals of Library and Information Sciences, 54, 129-139.
  21. Stanely, M. H. R. et al. (1995). Zipf’s plot and the size distribution of firms. Economic Letters, 49, 453-457.
  22. Subramanian, K. (1983). Bibliometric studies of research collaboration: a review. Journal of Information Science. 6(1), 33-38.
  23. Zinkhan, G. M. and Leigh, T. W. (1999). Assessing the Quality Ranking of the Journal of Advertising: 1986-1997. Journal of Advertising, 2(28), 51-70.

Abstract

This paper analyses various bibliometric dimensions of the journal literature such as authors’ productivity, geographical distribution, citation pattern, institution-wise distribution of articles, discipline-wise distributions of articles, productive institutions, Productivity Index (PI), Activity Index (AI), Domestic Collaborative Index (DCI) and International Collaborative Index (ICI) etc. It also explores the applicability of Lotka’s Inverse Square Law and Zipf’s Law to examine the observed rank – frequency pattern of Keywords and Subject Terms of Information Systems (IS) literature. To illustrate these bibliometric indicators pertinent information on the field of Information Systems (IS) collected from EBSCO database for the International Journal of Cooperative Information Systems (IJCIS). Results indicated that a high level of collaboration exists among the authors, USA occupies the dominant position in terms of high productive authors, institutions and tops the list with highest number of domestic collaboration. Authors’ productivity confirms to Lotka’s law and the Frequency distribution of both Subject Terms and Keywords in IJCIS journal literature follow Zipf’s distribution.

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