Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis

• Published in: Connection science Vol. 36; no. 1
• Main Authors: Khan, Nauman, Khan, Zahid, Koubaa, Anis, Khan, Muhammad Khurram, Salleh, Rosli bin
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 31.12.2024; Taylor & Francis Ltd
• Subjects: 0000; 1111; bibliometric analysis; Bibliometrics; Chatbots; demographic analysis; generative AI; Generative artificial intelligence; geographic distribution; Geographical distribution; Impact analysis; interdisciplinary research; Large language models; Literature reviews; LLM-ChatGPT; Medical research; Medical science; Systematic review

In 2022, OpenAI's unveiling of generative AI Large Language Models (LLMs)- ChatGPT, heralded a significant leap forward in human-machine interaction through cutting-edge AI technologies. With its surging popularity, scholars across various fields have begun to delve into the myriad applications...