Fog Computing Research: A Scientometric Assessment of Global Publications Output During 2012–18

Gupta, Brij Mohan; Rani, Asha; Walke, Rajpal; Bansal, Jivesh; Kumar, Ashok

doi:10.5958/2249-5576.2019.00004.9

Cited by 2 publications

(1 citation statement)

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“…This paper presents an initial scientometric-based and thematic-based review of the current research literature on ChatGPT, a common technique employed to understand the evolution of a research area [22]. Similar research has been conducted in the latest technological developments such as blockchain technology [23], Internet of Things (IoT) [24], Fog Computing [25], Deep learning/Big data [26], Humanrobot interaction [27], [28] or social phenomenon such as COVID-19 [29] or terrorism [30] or racism. These reviews utilize a variety of techniques to visualize and present research findings and metadata associated with the publications.…”

Section: Introductionmentioning

confidence: 99%

Tracking ChatGPT Research: Insights From the Literature and the Web

Mubin,

Alnajjar,

Trabelsi

et al. 2024

IEEE Access

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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.

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