ChatGPT and OpenAI: A Comprehensive Bibliometric Review

Journal of Soft Computing and Decision Analytics Pub Date : 2023-09-29 DOI:10.31181/jscda11202324

Abdullah Önden, Mohammed Alnour

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Abstract

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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ChatGPT和OpenAI:综合文献计量学综述

OpenAI ChatGPT的引入引发了学术界研究人员、商界投资者和政策制定界政府的热烈讨论。来自不同科学领域的评论员表达了许多担忧。因此，本研究试图使用文献计量学分析来回顾与OpenAI的ChatGPT相关的现有研究。该研究回顾了从Web of Sciences收集的210项研究，涵盖了所有学科。分析基于(i)共现(关键词)，(ii)引用和(iii)合著。我们发现，“ChatGPT、人工智能、OpenAI、AI、教育、聊天机器人、自然语言处理、医学和管理”等关键词在OpenAI ChatGPT中使用频率最高。此外，我们发现，包括加密货币、医疗保健、未来护理、信息价值、非人类作者、算法偏见、临床耳鼻喉科、临床决策、大型语言模型、生成式预训练转移在内的领域，没有使用OpenAI ChatGPT进行深入研究。最后，我们发现以美国和德国为首的28个国家109个机构的155位作者正在积极使用OpenAI ChatGPT进行研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of Soft Computing and Decision Analytics

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