ANALYZING ARTIFICIAL NEURAL NETWORK ARTICLES WITH BIBLIOMETRIC MAPPING TECHNIQUE

Abstract

The main purpose of this study is to reveal the general profile of artificial neural network articles published in the Web of Science (WoS) database through bibliometric analysis. Since it is an original study to examine the artificial neural network in the WoS database with bibliometric analysis method, it is extremely important in terms of guiding future research on the subject. In this context, 27,805 articles containing the word artificial neural network* in the TI (title) section of the WoS database were subjected to bibliometric analysis. The data obtained were analyzed in VOSviewer and bibliometrix R package program As a result of the analysis, it was determined that the articles titled artificial neural network were conducted between 1986-2024 as a result of the search in WoS. However, it has been concluded that there has been an increase in the number of articles on artificial neural networks in recent years. In conclusion, artificial neural networks have an important place in the academic literature. Therefore, further studies in this field are expected to make great contributions both theoretically and practically. In future research, it is suggested to perform bibliometric analysis on different databases related to artificial neural networks.

Keywords

• Artificial Neural Network
• Bibliometrics
• Sport

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