Tracking ChatGPT Research: Insights from the literature and the web

Omar Mubin, Fady Alnajjar, Zouheir Trabelsi, Luqman Ali, Medha Mohan Ambali Parambil, Zhao Zou

Research output: Contribution to journalArticlepeer-review


This article presents a scientometric and literature analysis of current research on ChatGPT, a conversational AI technology developed by OpenAI. Using various databases, 103 relevant articles were retrieved and analyzed through scientometric, quantitative, and application-based approaches. A Google trend analysis and comparison with other generative AI and chatbot technologies were also carried out. The study provides insights into the distribution of ChatGPT publications across different countries and regions, the network of co-occurring keywords, authorship analysis, article typology, and publishing entities. The findings offer a comprehensive overview of the current state of ChatGPT research, highlighting key directions for future research. The study finds that ChatGPT has gained significant attention and interest in online platforms, particularly in technology, education, and healthcare, and highlights potential ethical and legal concerns related to its use. Its applications extend to several literary and text generation areas. We do note that the sample of extracted publications is lower than anticipated due to the niche area of investigation. The article is relevant to researchers, practitioners, and policymakers interested in the field of AI-powered language models, especially ChatGPT.

Original languageEnglish
Pages (from-to)1
Number of pages1
JournalIEEE Access
Publication statusAccepted/In press - 2024


  • Artificial Intelligence
  • Artificial intelligence
  • Bibliometrics
  • ChatGPT
  • Chatbots
  • Education
  • Market research
  • NLM
  • Natural Language Processing
  • Natural language processing
  • Open Access
  • Search engines
  • Task analysis

ASJC Scopus subject areas

  • General Computer Science
  • General Materials Science
  • General Engineering


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