Bibliometric Analysis on ChatGPT Research with CiteSpace
ChatGPT is a generative artificial intelligence (AI) based chatbot developed by OpenAI and has attracted great attention since its launch in late 2022. This study aims to provide an overview of ChatGPT research through a CiteSpace-based bibliometric analysis. We collected 2465 published articles rel...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2078-2489/16/1/38 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832588379628240896 |
|---|---|
| author | Dongyan Nan Xiangying Zhao Chaomei Chen Seungjong Sun Kyeo Re Lee Jang Hyun Kim |
| author_facet | Dongyan Nan Xiangying Zhao Chaomei Chen Seungjong Sun Kyeo Re Lee Jang Hyun Kim |
| author_sort | Dongyan Nan |
| collection | DOAJ |
| description | ChatGPT is a generative artificial intelligence (AI) based chatbot developed by OpenAI and has attracted great attention since its launch in late 2022. This study aims to provide an overview of ChatGPT research through a CiteSpace-based bibliometric analysis. We collected 2465 published articles related to ChatGPT from the Web of Science. The main forces in ChatGPT research were identified by examining productive researchers, institutions, and countries/regions. Moreover, we performed co-authorship network analysis at the levels of author and country/region. Additionally, we conducted a co-citation analysis to identify impactful researchers, journals/sources, and literature in the ChatGPT field and performed a cluster analysis to identify the primary themes in this field. The key findings of this study are as follows. First, we found that the most productive researcher, institution, and country in ChatGPT research are Ishith Seth/Himel Mondal, Stanford University, and the United States, respectively. Second, highly cited researchers in this field are Tiffany H. Kung, Tom Brown, and Malik Sallam. Third, impactable sources/journals in this area are ARXIV, Nature, and Cureus Journal of Medical Science. Fourth, the most impactful work was published by Kung et al., who demonstrated that ChatGPT can potentially support medical education. Fifth, the overall author-based collaboration network consists of several isolated sub-networks, which indicates that the authors work in small groups and lack communication. Sixth, United Kingdom, India, and Spain had a high degree of betweenness centrality, which means that they play significant roles in the country/region-based collaboration network. Seventh, the major themes in the ChatGPT area were “data processing using ChatGPT”, “exploring user behavioral intention of ChatGPT”, and “applying ChatGPT for differential diagnosis”. Overall, we believe that our findings will help scholars and stakeholders understand the academic development of ChatGPT. |
| format | Article |
| id | doaj-art-e0b34f822f474e7499b41905e6e615eb |
| institution | Kabale University |
| issn | 2078-2489 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj-art-e0b34f822f474e7499b41905e6e615eb2025-01-24T13:35:14ZengMDPI AGInformation2078-24892025-01-011613810.3390/info16010038Bibliometric Analysis on ChatGPT Research with CiteSpaceDongyan Nan0Xiangying Zhao1Chaomei Chen2Seungjong Sun3Kyeo Re Lee4Jang Hyun Kim5School of Business, Macau University of Science and Technology, Macau 999078, ChinaDepartment of Interaction Science, Sungkyunkwan University, Seoul 03063, Republic of KoreaCollege of Computing and Informatics, Drexel University, Philadelphia, PA 19104, USADepartment of Human-Artificial Intelligence Interaction, Sungkyunkwan University, Seoul 03063, Republic of KoreaCenter for Creative Convergence Education, Hanyang University ERICA, Ansan 15588, Republic of KoreaDepartment of Interaction Science, Sungkyunkwan University, Seoul 03063, Republic of KoreaChatGPT is a generative artificial intelligence (AI) based chatbot developed by OpenAI and has attracted great attention since its launch in late 2022. This study aims to provide an overview of ChatGPT research through a CiteSpace-based bibliometric analysis. We collected 2465 published articles related to ChatGPT from the Web of Science. The main forces in ChatGPT research were identified by examining productive researchers, institutions, and countries/regions. Moreover, we performed co-authorship network analysis at the levels of author and country/region. Additionally, we conducted a co-citation analysis to identify impactful researchers, journals/sources, and literature in the ChatGPT field and performed a cluster analysis to identify the primary themes in this field. The key findings of this study are as follows. First, we found that the most productive researcher, institution, and country in ChatGPT research are Ishith Seth/Himel Mondal, Stanford University, and the United States, respectively. Second, highly cited researchers in this field are Tiffany H. Kung, Tom Brown, and Malik Sallam. Third, impactable sources/journals in this area are ARXIV, Nature, and Cureus Journal of Medical Science. Fourth, the most impactful work was published by Kung et al., who demonstrated that ChatGPT can potentially support medical education. Fifth, the overall author-based collaboration network consists of several isolated sub-networks, which indicates that the authors work in small groups and lack communication. Sixth, United Kingdom, India, and Spain had a high degree of betweenness centrality, which means that they play significant roles in the country/region-based collaboration network. Seventh, the major themes in the ChatGPT area were “data processing using ChatGPT”, “exploring user behavioral intention of ChatGPT”, and “applying ChatGPT for differential diagnosis”. Overall, we believe that our findings will help scholars and stakeholders understand the academic development of ChatGPT.https://www.mdpi.com/2078-2489/16/1/38ChatGPTbibliometric analysisCiteSpaceco-authorship analysisco-citation analysiscluster analysis |
| spellingShingle | Dongyan Nan Xiangying Zhao Chaomei Chen Seungjong Sun Kyeo Re Lee Jang Hyun Kim Bibliometric Analysis on ChatGPT Research with CiteSpace Information ChatGPT bibliometric analysis CiteSpace co-authorship analysis co-citation analysis cluster analysis |
| title | Bibliometric Analysis on ChatGPT Research with CiteSpace |
| title_full | Bibliometric Analysis on ChatGPT Research with CiteSpace |
| title_fullStr | Bibliometric Analysis on ChatGPT Research with CiteSpace |
| title_full_unstemmed | Bibliometric Analysis on ChatGPT Research with CiteSpace |
| title_short | Bibliometric Analysis on ChatGPT Research with CiteSpace |
| title_sort | bibliometric analysis on chatgpt research with citespace |
| topic | ChatGPT bibliometric analysis CiteSpace co-authorship analysis co-citation analysis cluster analysis |
| url | https://www.mdpi.com/2078-2489/16/1/38 |
| work_keys_str_mv | AT dongyannan bibliometricanalysisonchatgptresearchwithcitespace AT xiangyingzhao bibliometricanalysisonchatgptresearchwithcitespace AT chaomeichen bibliometricanalysisonchatgptresearchwithcitespace AT seungjongsun bibliometricanalysisonchatgptresearchwithcitespace AT kyeorelee bibliometricanalysisonchatgptresearchwithcitespace AT janghyunkim bibliometricanalysisonchatgptresearchwithcitespace |