چکیده مقاله
Purpose: This study aimed to construct a knowledge map and analyze publications in the field of the Metaverse and Artificial Intelligence using data from the Web of Science WoS database Method: This applied research adopts a scientometric approach Data were extracted from WoS using the advanced search function with the keywords 'Metaverse' and 'Artificial Intelligence,' resulting in a dataset of 5,040 records After cleaning and standardizing the data, analyses were performed using Pybibx in Python and Bibliometrix in R Findings: The findings offer an overview of research on the Metaverse and Artificial Intelligence from 1992 to 2024, spanning 107 countries and 3,922 institutions A total of 141,763 references are cited across 1,081 sources, with English being the predominant language Collaboration is a key feature, reflected by an average collaboration index of 4 34 and 4,871 multi authored documents The average citations per document are 19 46, signaling significant research impact Although there are 18,123 authors, the average number of documents per author is low 1 21 , indicating that many authors contribute fewer works Institutions, however, average 13 19 documents Other findings indicate that a total of 5,040 records in this subject area are indexed in the WoS database China leads in contributions
کلیدواژهها
نویسندگان
شیوه ارجاع
Hamdipour, Afshin and Safyan, Elmira and Pereira, Valdecy,1403,Mapping the Scientific Literature on the Metaverse and Artificial Intelligence in the Web of Science Database,The 14th ECDC2025 international e-commerce conference with the approach of artificial intelligence, Internet of Things, business and metaverse,Shiraz
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی تجارت الکترونیک ECDC۲۰۲۵ با رویکرد هوش مصنوعی، اینترنت اشیاء، کسب و کار و متاورس25 بهمن 1403 · شیراز