Assessment of Bradford Law’s of Scattering to Neural Network Literature Through Bibliometric Study

Abstract

The main purpose of this paper is to analyze the application of Bradford’s Law of Scattering to the neural network literature published in India during 2001-2015. The paper presents an overview on scholarly contribution presented on Bradford law applied in different studies both theoretical as well as practical aspects of the law and it is being tested here over neural network literature. The data for this study has been taken from Web of Science for the period of 15 years (2001 - 2015) and it yielded 5209 articles and 58249 citations. A ranked list of journals has been prepared and it is found that Applied Soft Computing is most productive journal which has published 3.4 percent of articles on neural network. As far as the implication of Bradford law is concern, in theoretical aspect this law does not fit, but the alternatives such as Leimkuhler model holds good for neural network literature.