Research ArticleJournal of Scientometric ResearchVol. 11 | Issue 2 | 2022 | pp. 146–154Open access
A Comparative Analysis of Unified Informetrics with Scopus and Web of Science
- 1,
- 2,
- 3,
- 4*
- 1 School of Computer Applications, Lovely Professional University, Phagwara, Punjab, INDIA.
- 2 Advanced Computing Research Society, Porur, Chennai, INDIA.
- 3 School of Computer Science and Engineering, Lovely Professional University, Jalandhar - Phagwara, Punjab, INDIA.
- 4 School of Engineering and Technology, BML Munjal University, Sidhrawali, Gurugram, Haryana, INDIA.
Published in Journal of Scientometric Research
Correspondence: Kiran Sharma
School of Engineering and Technology, BML Munjal University, Sidhrawali, Gurugram, Haryana, INDIA.
Email: kiran.sharma@bmu.edu.in
Copyright: © 2022 Manuscript Technomedia. This is an open access article.
- Published:
- Aug 1, 2022
- Received:
- Jun 24, 2021
- Accepted:
- Jul 8, 2022
How to cite
Khurana, P., Ganesan, G., Kumar, G., & Sharma, K. (2022). A Comparative Analysis of Unified Informetrics with Scopus and Web of Science. Journal of Scientometric Research, 11(2), 146–154. https://doi.org/10.5530/jscires.11.2.16
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.
Keywords
Subject
Article metadata
| Title | A Comparative Analysis of Unified Informetrics with Scopus and Web of Science |
|---|---|
| Authors | Parul Khurana; Geetha Ganesan; Gulshan Kumar; Kiran Sharma |
| Affiliations | School of Computer Applications, Lovely Professional University, Phagwara, Punjab, INDIA.; Advanced Computing Research Society, Porur, Chennai, INDIA.; School of Computer Science and Engineering, Lovely Professional University, Jalandhar - Phagwara, Punjab, INDIA.; School of Engineering and Technology, BML Munjal University, Sidhrawali, Gurugram, Haryana, INDIA. |
| Corresponding author | kiran.sharma@bmu.edu.in |
| Journal | Journal of Scientometric Research |
| Volume / Issue | Vol. 11, Issue 2 (2022) |
Also in this issue
- Empirical Study on Citation Count Prediction of Research Articlespp. 155–163
- Factors Influencing the Citability of Stroke Articles: A Scientometric Studypp. 164–170
- Relative Search Interest and Twitter Altmetrics of Chloroquine, Hydroxychloroquine and Ivermectin in Latin Americapp. 171–182
- What do we know about Employee Productivity?: Insights from Bibliometric Analysispp. 183–198
- The Impact of Faculty Members’ International Collaboration on the Centrality Measure of their Local Collaboration Network: The Case of Electrical and Computer Engineering in the Selected Iranian Universitiespp. 199–204
Readers Also Viewed
Development and Validation of UV/visible Spectrophotometric Method for Estimation of Piroxicam from Bulk and Formulation
Sandip Mohan Honmane, Kunal Rajaram Yadav, Yuvraj Dilip Dange
Apr 23, 2025
Effects of Artificial Intelligence on Academic Performance of Library and Information Science University Students: A Meta-Analysis (2023-2025)
Kayode Sunday John Dada
Aug 6, 2026
Bridging Innovation and Impact: A Multidisciplinary Approach to Contemporary Research Challenges
Mueen Ahmed KK
Aug 11, 2026