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A Python based Regression Approach on Reliable Journal Parameters to Assess Few Scientific Impact Measures

by P. VaraPrasada Rao, A. Govardhan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 12
Year of Publication: 2016
Authors: P. VaraPrasada Rao, A. Govardhan
10.5120/ijca2016908621

P. VaraPrasada Rao, A. Govardhan . A Python based Regression Approach on Reliable Journal Parameters to Assess Few Scientific Impact Measures. International Journal of Computer Applications. 136, 12 ( February 2016), 35-43. DOI=10.5120/ijca2016908621

@article{ 10.5120/ijca2016908621,
author = { P. VaraPrasada Rao, A. Govardhan },
title = { A Python based Regression Approach on Reliable Journal Parameters to Assess Few Scientific Impact Measures },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 12 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 35-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume136/number12/24208-2016908621/ },
doi = { 10.5120/ijca2016908621 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:36:56.758296+05:30
%A P. VaraPrasada Rao
%A A. Govardhan
%T A Python based Regression Approach on Reliable Journal Parameters to Assess Few Scientific Impact Measures
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 12
%P 35-43
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The growing use of bibliometrics among researchers has showcased the emergence of various evaluators of scientific research at the author front as well as journal publishers. Several indices has been put forward since the importance of scientific evaluators has gained prominence. Among any such indices, h-index, g-index etc., has been widely used in literature. The regression analysis presented here focus on the citation parameters such as total docs, citable docs, references per doc etc., reported in SCIMago database to evaluate the dependence of these parameters on various indices such as h-index, a-index, m-index, q2 index, r-index, a-r index and e-index respectively. The regression analysis was performed to delineate the dependence of various citation features on index values. From the analysis, it is understood that in all cases except a-index, an increase in SJR value is suggested which means that SJR contributes positively to enhance index factor of journals.

References
  1. E. Garfield, “Citation analysis as a tool in journal evaluation”, Science, vol. 178, pp. 471-479, 1972.
  2. J. D. West, T. C. Bergstrom, C. T. Bergstrom, “The Eigenfactor Metrics: A network approach to assessing scholarly journals,” College of Research Libraries, vol. 71, pp. 236-244, 2010.
  3. B. Gonzalez-Pereira, V. P. Guerrero-Bote, F. Moya-Anegon, “A new approach to the metric of journals scientific prestige: The SJR indicator,'' Journal of Informetrics vol 4, pp. 379-391, 2010.
  4. Joshi MA Bibliometric indicators for evaluating the quality of scientific publications. J Contemp Dent Pract. 2014 Mar 1;15(2):258-62.
  5. http://www.vub.ac.be/BIBLIO/itp/lecturers/ronald_rousseau/ronald_roussea_stim1_bibliometrics_russell.pdf
  6. Hirsch, J.E. (2005) an index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences 102:16569–16572.
  7. Olden, J.D. (2007) how do ecological journals stack-up? Ranking of scientific quality according to the h-index. Eco science 14(3):370-376.
  8. Rousseau, R. (2007) The influence of missing publications on the Hirsch index. Journal of Informetrics 1:2–7.
  9. Vanclay, J.K. (2007) On the robustness of the h-index. Journal of the American Society for Information Science and Technology 58(10):1547-1550.
  10. Steven B. Bird. Journal Impact Factors, h Indices, and Citation Analyses in Toxicology. JOURNAL OF MEDICAL TOXICOLOGY 2008, 4(4): 261-274.
  11. Egghe, L. (2006). Theory and practice of the g-index. Scientometrics, 69(1), 131–152.
  12. Kosmulski, M. (2006). A new Hirsch-type index saves time and works equally well as the original h-index. ISSI Newsletter, 2(3), 4–6.
  13. Rousseau, R. (2007). The influence of missing publications on the Hirsch index. Journal of Informetrics, 1(1), 2–7.
  14. Jin, B. (2007). The AR-index: complementing the h-index. ISSI Newsletter, 3(1), 6.
  15. 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, 59(5), 830–837.
  16. http://www.scimagojr.com/journalrank.php
  17. http://www.elsevier.com.
Index Terms

Computer Science
Information Sciences

Keywords

SCIMago bibliometrics indexvalue python

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