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Proposer
Rushan Ziatdinov
Title
A web-based system for bibliometric data analysis of Scopus data
Goal
The aim is to develop an online system for analysing and visualising Scopus data.
Description
The aim of this project is to develop an interactive, web-based tool for analysing and visualising bibliometric data from Scopus. This tool will enable users to upload and process Scopus data, calculate various bibliometric indicators and generate useful visualisations. The tool will also support analyses such as co-citation networks and keyword relationships to help users understand the connections between research topics, as well as other potentially useful analyses. Note: students will be provided with a sample of Scopus data.
Resources
1) Passas, I. (2024). Bibliometric analysis: the main steps. Encyclopedia, 4(2). 2) Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296. 3) Hassan, W., & Duarte, A. E. (2024). Bibliometric analysis: a few suggestions. Current problems in cardiology, 49(8), 102640.
Background
Url
External Link
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
2
Supervisor
Rushan Ziatdinov
Keywords
web development, data analysis, visualisation
Degrees
Bachelor of Science in Computational Sciences and Software Engineering
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