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  1. Savanur, K., & Srikanth, R. (2010). Modified collaborative coefficient: A new measure for quantifying the degree of research collaboration. Scientometrics, 84(2), 365-371.
  2. Gupta, D. K. (1989). Scientometric study of biochemical literature of Nigeria, 1970–1984: Application of Lotka's law and the 80/20-Rule. Scientometrics, 15(3-4), 171-179.
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  5. Rousseau, R. (2011). Comments on the modified collaborative coefficient. Scientometrics, 87(1), 171-174.
  6. Guan, J., & Ma, N. (2007). A bibliometric study of China’s semiconductor literature compared with other major Asian countries. Scientometrics, 70(1), 107-124.Subramanyam K, Bibliometric studies of research collaboration: a review, Journal of Information Science, 6 (1) (1983) 33-38.
  7. Subramanyam, K. (1983). Bibliometric studies of research collaboration: A review. Journal of Information Science, 6(1), 33-38.
  8. Lawani, S. M. (1981). Quality, Collaboration, and citations in cancer Research: a bibliometric study.
  9. Ajiferuke, I., Burell, Q., & Tague, J. (1988). Collaborative coefficient: A single measure of the degree of collaboration in research. Scientometrics, 14(5-6), 421-433.

10. Andrés, A. (2009). Measuring academic research: How to undertake a bibliometric study. Elsevier


This paper mainly analyzes the Price square root law, Pareto principle, Publication Efficiency Index, Modified Collaborative coefficient, and Application of Lotka’s law in the Geese literature of India based on 94 publications indexed in Scopus database from 2008 to 2017. Value of Publication Efficiency Indices and Average citations per paper shows that the impact of Publication and Research effort in India is higher from the years 2009 to 2013. Batbayar N. is the most prolific author in this field, with 1.63% of total publications. The analysis revealed that Price square root law and Pareto principle (80/20 rule) is not to fit with the Geese Research publication output of India. Highest Degree of Collaboration observed in the years 2008, 2009, 2011, 2015, and 2017 since there are no single-authored articles in these years. The uppermost values of CI, CC, and MCC observed in the year 2009. The Kolmogorov Smirnov Test revealed that Lotka’s law is well fit for the scientific productivities of authors of Geese Research.