CFP last date
20 May 2024
Reseach Article

Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals

by B. Annapurna, M. M. Naidu
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 151 - Number 2
Year of Publication: 2016
Authors: B. Annapurna, M. M. Naidu
10.5120/ijca2016911680

B. Annapurna, M. M. Naidu . Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals. International Journal of Computer Applications. 151, 2 ( Oct 2016), 14-19. DOI=10.5120/ijca2016911680

@article{ 10.5120/ijca2016911680,
author = { B. Annapurna, M. M. Naidu },
title = { Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 151 },
number = { 2 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 14-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume151/number2/26205-2016911680/ },
doi = { 10.5120/ijca2016911680 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:56:01.988115+05:30
%A B. Annapurna
%A M. M. Naidu
%T Application of a Modified k-Means Algorithm to Evaluatesignificance of Bibliometric Indices of Journals
%J International Journal of Computer Applications
%@ 0975-8887
%V 151
%N 2
%P 14-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The indices such as h-index, e-index etc has received much attention from the scientific community owing to their prowess to impact journal quality. Many different indicatorshave been developed to overcome drawbacks of h-index. Nearly four indices which are of prime importance in the publishing industry were utilized.In this paper, we present a modified k-means algorithm to generate three clusters of datasets of scientific journals.

References
  1. M. Amin & M. Mabe. 2000. Impact Factors: Use & Abuse, Perspectives in Publishing, Vol.No. 1, 1-6.
  2. Garfield, E.1996. How can impact factors be improved? British Medical Journal, 313, 411–413.
  3. Glänzel, W., & Moed, H. F. 2002. Journal impact measures in bibliometric research. Scientometrics, 53(2), 171–194.
  4. Saha, S., Saint, S. & Christakis, D.A. 2003. Impact factor: a valid measure of journal quality? Journal of the Medical Library Association 91:42-46.
  5. Dong, P., Loh, M. & Mondry, A. 2005. The "impact factor" revisited. Biomedical Digital Libraries 2:7 doi:10.1186/1742-5581-2-7.
  6. Lim, A., Ma, H., Wen, Q., Xu, Z., Cheang, B., Tan, B. & Zhu, W. 2007. Journal-Ranking.com: An Online Interactive Journal Ranking System. Proceedings of the National Conference on Artificial Intelligence, Vol.22 (2):1723-1729.
  7. Hirsch, J.E. 2005. An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, Vol.102:16569–16572.
  8. Olden, J.D. 2007. How do ecological journals stack-up? Ranking of scientific quality according to the h-index. Ecoscience, Vol. 14(3):370-376.
  9. Rousseau, R. 2007. The influence of missing publications on the Hirsch index. Journal of Informetrics,Vol. 1:2–7.
  10. Vanclay, J.K. 2007. On the robustness of the h-index. Journal of the American Society for Information Science and Technology,Vol. 58(10):1547-1550.
  11. Steven B. Bird.2008. Journal Impact Factors, h Indices, and Citation Analyses in Toxicology. JOURNAL OF MEDICAL TOXICOLOGY, Vol. 4(4): 261-274.
  12. Egghe, L. 2006. Theory and practice of the g-index. Scientometrics, Vol. 69(1), .131–152.
  13. Kosmulski, M. 2006. A new Hirsch-type index saves time and works equally well as the original h-index. ISSI Newsletter, Vol. 2(3), 4–6.
  14. Rousseau, R. 2007. The influence of missing publications on the Hirsch index. Journal of Informetrics, Vol.1(1), 2–7.
  15. Jin, B. 2007. The AR-index: complementing the h-index. ISSI Newsletter, Vol.3(1), 6.
  16. Bornmann, L., Mutz, R., & Daniel, H. 2008. Are there better indices for evaluation purposes than the h-index? A comparison of nine different variants of the h-index using data from biomedicine. Journal of the American Society for Information Science and Technology, Vol.59(5), 830–837.
  17. Steven B. Bird.2008. Journal Impact Factors, h Indices, and Citation Analyses in Toxicology. JOURNAL OF MEDICAL TOXICOLOGY, Vol.4(4): 261-274.
  18. http://www.elsevier.com/
  19. http://www.python.org
  20. Jonathan Baarsch and M. Emre Celebi.2012."Investigation of Internal Validity Measures for K-Means Clustering" in Proceedings of the International Multiconference of Engineers and Computer Scientists, Vol 1, IMCES, HongKong.
Index Terms

Computer Science
Information Sciences

Keywords

h-index m-index A-index e-index k-means algorithm