Developing the method for searching corporate leaders in publication and patent activities in Russia based on the Scopus, Web of Science and Derwent data

Author:

Parfenova S.1,Dolgova V.1,Bezrodnova K.1,Mikhailenko I.2

Affiliation:

1. Russian Research Institute of Economics, Politics and Law in Science and Technology

2. Russian National Public Library for Science and Technology

Abstract

The authors aim to substantiate the methodical approach to revealing corporate leaders in publishing and patent activities based on the primary Scopus, Web of Science и Derwent data machine-readable in XML format. The approach is based on the fractional calculus method, i. e. determining the organization’s weight by the number of its academic papers or issued patents proportionally to the number of specified affiliates. The organizational ranking method is based on the experience of the Leiden ranking (in using fractional calculus method) and the Academic Ranking of World Universities (in calculating the weighted value per one researcher, and choosing quality rating method). The authors emphasize that the fundamental distinctive feature of the proposed ranking methodology is that the integral index is calculated with the comparable Scopus and Web of Science parameters. For this purpose ranking of organizations is developed based on the average number of issued patents as reported by Derwent. The study proves that the top-5 ratings for Russian organization leading in publication activities, as reported by Scopus and Web of Science, overlap substantially and cover the public sector of science and higher education, The top-5 of Russian organizations leading in patent activities comprise primarily the non-government, commercial sector of science.

Publisher

State Public Scientific-Technical Library

Reference7 articles.

1. Parfenova S. L. Analiz mezhdunarodnyh i rossiyskih reytingov nauchno-issledovatelskih organizatsiy / S. L. Parfenova, V. N. Dolgova, K. A. Bezrodnova, I. V. Mihaylenko // Nauch. i tehn. b-ki. – 2019. – № 7. – S. 14–24.

2. Parfenova S. L. Publikatsionnyy landshaft rossiyskoy nauki / S. L. Parfenova, E. G. Grishakina, D. V. Zolotarev, V. V. Bogatov // Nauka. Innovatsii. Obrazovanie. – 2017. – № 23. – S. 53–79.

3. Scopus Custom Data [Электронный ресурс] // Elsevier B. V. – 2014. – 08. – URL: https://www.elsevier.com/_data/assets/pdf_file/0009/94878/Scopus-Custom-Data.pdf. – 29.04.2019.

4. Web of Science Raw Data (XML) // Clarivate Analytics : User guide for Web of Science raw data. – 2018. – Dec. 13. – URL: https://clarivate.libguides.com/rawdata. – 29.04.2019.

5. Large Scale Analysis of the Accuracy of the Journal Classification Systems of Web of Science and Scopus / Qi Wang, Ludo Waltman // Journal of Informetrics. – 2016. – May. – Vol. 10. – Iss. 2. – URL: https://arxiv.org/abs/1511.00735. – 29.04.2019.

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