Türk doğa ve fen dergisi :/Türk doğa ve fen dergisi, Год журнала: 2025, Номер 14(1), С. 180 - 191
Опубликована: Март 26, 2025
Bibliometric analysis is a popular methodology in recent years that provides valuable insights for literature and researchers by visualizing interesting trends, relationship patterns, information flow research areas. This study aims to evaluate the publication author contributions, institutional collaborations, citation dynamics of this field examining integration Multi-Criteria Decision Making (MCDM) Artificial Intelligence (AI) with bibliometric methods. optimizes complex decision-making processes faster, consistent, effective solutions. The was performed using performance science mapping techniques. Data were collected from WoS database 993 articles covering period 1992 2024 analyzed. Co-citation, keyword co-occurrence, co-authorship analyses visualized VOSviewer software. Accordingly, India, China Iran stand out as countries most publications, while Indian Institute Technology has highest contribution. ‘Annals Operations Research’ ‘Expert Systems Applications’ among frequently cited journals. University Sydney King Abdulaziz stood collaboration. study, which insights, pioneering performs AI-MCDM methods, especially terms title emphasis some findings obtained.
Язык: Английский