A Comparative Analysis of Unified Informetrics with Scopus and Web of Science

Journal of Scientometric Research,2022,11,2,146-154.
Published:September 2022
Type:Research Article
Authors:
Author(s) affiliations:

Parul Khurana1, Geetha Ganesan2, Gulshan Kumar3, Kiran Sharma4,*

1School of Computer Applications, Lovely Professional University, Phagwara, Punjab, INDIA.

2Advanced Computing Research Society, Porur, Chennai, INDIA.

3School of Computer Science and Engineering, Lovely Professional University, Jalandhar - Phagwara, Punjab, INDIA.

4School of Engineering and Technology, BML Munjal University, Sidhrawali, Gurugram, Haryana, INDIA.

Abstract:

Numerous bibliographic databases track the number of publications, citations, and h-index to maintain the progress of an individual. However, the choice of journals varies among these databases, hence they produce different numbers of publications, citations and h-index for the same author. Various literatures are available on the comparative analysis of such bibliographic databases stating the fact that there are the differences between bibliometrics generated by different bibliographic databases but none of the literature provides any comprehensive or complete solution to overcome such differences. At present, there is no common platform that can provide a single count of number of publications, citations and h-index across multiple bibliographic databases. To overcome this limitation, we propose a new method in academic research publication to calculate weighted unified (single) informetrics for an author. With the proposed solution, one can view a single article, citation, and h-index count computed from multiple indexing databases. In this study, the data from Scopus and Web of Science is used to generate a new database named “conflate”. Further, a comparative analysis of the proposed model is performed with Scopus and Web of Science at three levels: author, organization, and journal. The proposed model can be observed as a new single indicator to determine the research influence of the author, organization, and journal. Aim: We propose a new method in academic research publication to calculate weighted unified informetrics. With the proposed solution, one can view a single article, citation, and h-index count computed from multiple indexing databases. The proposed model can be observed as a new indicator to determine the research influence of author, organization, and journal.

Schematic representation of the proposed weighted unified informetrics.