S. L. Sangam ¹, B. M. Gupta ², Suresh Kumar ³

Affiliations
1 Department of Library and Information Science, Karnatak University, Dharwad 580003, Karnataka, IN
2 National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, New Delhi 110012, IN
3 National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, NewDelhi 110012, IN

Abstract

The paper discusses the application of growth model as suggested by Egghe and Rao(1992). The present study is aimed to study the growth and dynamics of growth and Indian and Chineese publications in three sub-disciplines of social sciences viz., Economics, Psychology and Sociology.

Keywords

Social Science Literature, Growth, Dynamics of Growth, Growth Model.

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B. M. Gupta ¹, Suresh Kumar ¹, Shaheen Syed ¹, Karan Vir Singh ¹

Affiliations
1 National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, New Delhi 110012, IN

Abstract

Scientific productivity is measured in terms of publication in various forms. This paper presents: (1) author productivity patterns of Indian Potato Research for the period 1900-1980, and (2) application of Lotkas Law in its different forms.

Keywords

Scientific Productivity, Author Productivity Pattern, Potato Research, Application of Lotka's Law.

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B. M. Gupta ¹, Suresh Kumar ¹

Affiliations
1 Scientometrics and Informetrics Group National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, New Delhi - 110012, IN

Abstract

Examines the applicability of Lotka's Law and a few other statistical distributions for their goodness-of-fit to the author productivity data from eleven core journals in theoretical population genetics. The negative binomial and geometric distribution are found to be generally applicable in majority of the data sets and also in terms of best fit.

Keywords

Population Genetics, Lotka's Law, Statistical Distribution, Author Productivity, Binomial Distribution, Geometric Distribution.

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Suresh Kumar ¹

Affiliations
1 National Institute of Science Technology and Development Studies Dr. K. S. Krishnan Marg, New Delhi-110012, IN

Abstract

The study explores the applicability of three models namely exponential model, logistic model and power model on HCI research literature of world and top twenty nations, as reflected in Science Citation Index-Expanded for a period of 25 years, from 1987 to 2011. The criteria for selection of growth models are based on two growth rate functions suggested by Egghe and Rao. This methodology is found satisfactory, except for data series where there is no clear trend observed in second growth rate function. The analysis suggests that growth of all the 21 data set is explained by both logistic growth model and exponential growth model equally well. Although, power growth model is indicated for four data sets, by the two growth rate function methodology, it was logistic or exponential model found fit to explain growth of those data sets as well. Therefore, results in this study emphasises the need to undertake more such studies on the time series data on publications growth of various fields to test the utility of two growth rate functions methodology.

Keywords

Doubling Time, Growth Model, Growth Rate Functions, Human Computer Interaction, Scientometrics.

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