Authors:
(1) Hamid Reza Saeidnia, Department of Information Science and Knowledge Studies, Tarbiat Modares University, Tehran, Islamic Republic of Iran;
(2) Elaheh Hosseini, Department of Information Science and Knowledge Studies, Faculty of Psychology and Educational Sciences, Alzahra University, Tehran, Islamic Republic of Iran;
(3) Shadi Abdoli, Department of Information Science, Université de Montreal, Montreal, Canada
(4) Marcel Ausloos, School of Business, University of Leicester, Leicester, UK and Bucharest University of Economic Studies, Bucharest, Romania. Table of Links Abstract and Introduction Materials and Methods Results RQ 1: AI and scientometrics RQ 2: AI and webometrics RQ 3: AI and bibliometrics Discussion RQ 4: Future of Scientometrics, Webometrics, and Bibliometrics with AI RQ 5: Ethical Considerations of Scientometrics, Webometrics, and Bibliometrics with AI Conclusion, Limitations, and References Results The identification phase of our study involved conducting searches on various databases, such as ProQuest (LISTA & IBSS), EBSCO (LISTA), IEEE Explore, Web of Science, and Scopus. From these databases, a total of 1827 articles were initially found. After removing duplicate articles (962), we were left with 865 articles for further evaluation. By carefully assessing the exclusion criteria based on specific criteria, we excluded 356 articles, resulting in 509 articles for a more thorough analysis of their titles and abstracts. From a full-text analysis, we identified 61 of 121 articles that were relevant to our study's focus on AI in Scientometrics, Webometrics, and Bibliometrics. Therefore, our final dataset consisted of 61 articles, as shown in the flow chart provided in Figure 1. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Hamid Reza Saeidnia, Department of Information Science and Knowledge Studies, Tarbiat Modares University, Tehran, Islamic Republic of Iran; (2) Elaheh Hosseini, Department of Information Science and Knowledge Studies, Faculty of Psychology and Educational Sciences, Alzahra University, Tehran, Islamic Republic of Iran; (3) Shadi Abdoli, Department of Information Science, Université de Montreal, Montreal, Canada (4) Marcel Ausloos, School of Business, University of Leicester, Leicester, UK and Bucharest University of Economic Studies, Bucharest, Romania. Authors: Authors: (1) Hamid Reza Saeidnia, Department of Information Science and Knowledge Studies, Tarbiat Modares University, Tehran, Islamic Republic of Iran; (2) Elaheh Hosseini, Department of Information Science and Knowledge Studies, Faculty of Psychology and Educational Sciences, Alzahra University, Tehran, Islamic Republic of Iran; (3) Shadi Abdoli, Department of Information Science, Université de Montreal, Montreal, Canada (4) Marcel Ausloos, School of Business, University of Leicester, Leicester, UK and Bucharest University of Economic Studies, Bucharest, Romania. Table of Links Abstract and Introduction Abstract and Introduction Materials and Methods Materials and Methods Results Results RQ 1: AI and scientometrics RQ 1: AI and scientometrics RQ 2: AI and webometrics RQ 2: AI and webometrics RQ 3: AI and bibliometrics RQ 3: AI and bibliometrics Discussion Discussion RQ 4: Future of Scientometrics, Webometrics, and Bibliometrics with AI RQ 4: Future of Scientometrics, Webometrics, and Bibliometrics with AI RQ 5: Ethical Considerations of Scientometrics, Webometrics, and Bibliometrics with AI RQ 5: Ethical Considerations of Scientometrics, Webometrics, and Bibliometrics with AI Conclusion, Limitations, and References Conclusion, Limitations, and References Results The identification phase of our study involved conducting searches on various databases, such as ProQuest (LISTA & IBSS), EBSCO (LISTA), IEEE Explore, Web of Science, and Scopus. From these databases, a total of 1827 articles were initially found. After removing duplicate articles (962), we were left with 865 articles for further evaluation. By carefully assessing the exclusion criteria based on specific criteria, we excluded 356 articles, resulting in 509 articles for a more thorough analysis of their titles and abstracts. From a full-text analysis, we identified 61 of 121 articles that were relevant to our study's focus on AI in Scientometrics, Webometrics, and Bibliometrics. Therefore, our final dataset consisted of 61 articles, as shown in the flow chart provided in Figure 1. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

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