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Kumar, Suresh
- Modeling the Growth of Indian and Chinese Social Science Literature
Abstract Views :260 |
PDF Views:9
Authors
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
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
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 44, No 4 (2007), Pagination: 395-398Abstract
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.References
- Price (Derek De Solla). Science since Babylon. Enlarged edition. New Haven; Yale University Press. 1975.
- Granberg (A). A bibliometric survey of fibre-optics research in Sweden, West Germany and Japan. Lund; Research Policy Institute.
- Crane (Diana). Invisible Colleges: Diffusion of knowledge in scientific communities. Chicago; The University of Chicago Press, 1972
- Tague (Jean); Beheshti (J); Rees-Potter (L). The laws of exponential growth: Evidence, implications and forecasts. Library Trends Summer. 1981; p125-149.
- Egghe (L); Ravichandra Rao (I.K.) Classification of growth models based on growth rates and its applications. Scientometrics. Vol. 25; 1992; p5-46.
- Price (Derek De Solla). Little science, big science. New York; Columbia University Press, 1966.
- Wolfram (Dieter); et al. Growth of knowledge: Bibliometric analysis using online database data. In. L. Egghe and R. Rousseau, Eds. Informetrics, 89/90. Amsterdam; Elsevier, 1990, p355-72.
- Gupta (B.M.); et al. Modelling the growth of world social science literature. Scientometrics 2002. Vol. 53(1); p161-164.
- Distribution of Productivity among Authors in Potato (1900-1980) Research (1900-1980)
Abstract Views :211 |
PDF Views:2
Authors
Affiliations
1 National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, New Delhi 110012, IN
1 National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, New Delhi 110012, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 33, No 3 (1996), Pagination: 127-134Abstract
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.- Scientific Productivity in Theoretical Population Genetics:A Case Study in Core Journals
Abstract Views :329 |
PDF Views:4
Authors
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
1 Scientometrics and Informetrics Group National Institute of Science, Technology and Development Studies, Dr. K.S. Krishnan Marg, New Delhi - 110012, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 35, No 2 (1998), Pagination: 89-97Abstract
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.- Application of Growth Models to Human Computer Interaction (hci) Research Literature
Abstract Views :368 |
PDF Views:21
Authors
Affiliations
1 National Institute of Science Technology and Development Studies Dr. K. S. Krishnan Marg, New Delhi-110012, IN
1 National Institute of Science Technology and Development Studies Dr. K. S. Krishnan Marg, New Delhi-110012, IN