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The introduction of OpenAI ChatGPT has sparked a lively discussion among researchers in academia, investors in business sector, and governments in policymaking circles. Numerous concerns have been expressed by Commentators from various scientific domains. Therefore, this study is an attempt to review the existing research pertaining to OpenAI's ChatGPT using bibliometric analysis. The study reviewed 210 research collected from Web of Sciences covering all disciplines. The analysis was based on (i) co-occurrence (keywords), (ii) citations and (iii) co-authorship. We found, keywords such as “ChatGPT, artificial intelligence, OpenAI, AI, education, chatbots, natural language processing, medicine, and management” are the most frequently used in OpenAI ChatGPT. Moreover, we identified that areas including cryptocurrencies, healthcare, future nursing, information value, non-human authors, algorithmic bias, clinical otolaryngology, clinical decision-making, large language models, generative pre-trained transfer are not covered deeply investigated using OpenAI ChatGPT. Finally, we found around 155 authors from 109 institutions located in 28 countries led by United Sated and Germany are actively engaged in producing research using OpenAI ChatGPT.
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Stored only when both papers are in the corpus — 12 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.