Pregledni rad
https://doi.org/10.32985/ijeces.17.3.6
Trends and Networks in the Application of MCDM Methods in Computer Science: Analysis of the Web of Science Database
Ana Veljić
orcid.org/0000-0001-7689-044X
; University Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance, Belgrade, Serbia
Dejan Viduka
orcid.org/0000-0001-9147-8103
; University Alfa BK, Faculty of Mathematics and Computer Sciences Belgrade, Serbia
*
Luka Ilić
; University Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance, Belgrade, Serbia
Aleksandar Šijan
; University Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance Belgrade, Serbia
Darjan Karabašević
; University Business Academy in Novi Sad, Faculty of Applied Management, Economics and Finance, Belgrade, Serbia. Korea University, College of Global Business, Sejong, Republic of Korea
* Dopisni autor.
Sažetak
This paper presents a comprehensive bibliometric analysis of scientific output in the field of Multi-Criteria Decision-Making (MCDM) within the context of computer science, focusing on the period from 2019 to mid-2025. Using data from the Web of Science Core Collection, a total of 302 relevant papers were identified based on criteria such as publication year, language, document type, open access status, and research area. The analysis covers publication dynamics, the most influential authors and institutions, thematic directions, and collaboration structures. Special emphasis is placed on citation analysis of the most impactful works, as well as the visualization of co-authorship networks using the PRISMA methodology and tools such as RStudio and Biblioshiny. The results reveal a growing trend in publications, high activity by certain authors (e.g., Akram M and Liu Y), and strong collaboration within research clusters. Dominant topics include decision-making models, alternative selection, aggregation operators, and priority evaluation. This study provides insights into the structure and dynamics of the scientific community engaged in MCDM methods in computer science and may serve as a guide for future researchers, practitioners, and scientific development strategies.
Ključne riječi
Multi-Criteria Decision-Making (MCDM); Bibliometric Analysis; Computer Science; AHP; TOPSIS; VIKOR; Fuzzy Logic; Web of Science;
Hrčak ID:
345060
URI
Datum izdavanja:
2.3.2026.
Posjeta: 161 *