Scopus publications database analysis using its API

A. Y. Shestakova; D. O. Korolev; A. A. Afanasyev; I. V. Nikiforov; O. A. Yusupova

doi:10.1117/12.2669237

5 January 2023 Scopus publications database analysis using its API

A. Y. Shestakova, D. O. Korolev, A. A. Afanasyev, I. V. Nikiforov, O. A. Yusupova

Author Affiliations +

Proceedings Volume 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022); 125640O (2023) https://doi.org/10.1117/12.2669237
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2022), 2022, Dushanbe, Tajikistan

Abstract

Every year, international peer-reviewed databases of publications, such as Scopus or Web of Science, are replenished with tens of thousands of papers, which entails the need for a systematic analysis of such databases. An effective solution to this problem is to create a software system that allows to analyze the publication activity of both countries, cities, universities, and individual authors. This article is focused on developing system for Scopus publications analysis. The analysis was conducted for articles published between 1985 and 2022. The volume of processed data is 200 GB. The list of analytics tasks is presented. It includes statistics of changes in the number of articles on the portal, a rating of the most widely published countries, cities, universities and authors, statistics of changes in the size of publications by year were revealed, an analysis of the most popular research areas, the most frequent months of publications. A number of limitations of working with the Scopus API were identified, and the paper presents ways to circumvent them. Proposed software solution is described. The paper contains approach to collect, handle, and visualize dataset. The practical significance of the work is to create a flexible big data analytics tool for Scopus publication activity.

Citation Download Citation

A. Y. Shestakova, D. O. Korolev, A. A. Afanasyev, I. V. Nikiforov, and O. A. Yusupova "Scopus publications database analysis using its API", Proc. SPIE 12564, 2nd International Conference on Computer Applications for Management and Sustainable Development of Production and Industry (CMSD-II-2022), 125640O (5 January 2023); https://doi.org/10.1117/12.2669237

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Databases

Clouds

Data analysis

Data storage

Statistical analysis

Analytical research

Analytics

Show All Keywords

Keywords/Phrases

Search In:

Publication Years