Bibliometric Analysis of Studies on Chat GPT with Vosviewer

Abstract

Chat GPT, which suddenly entered our lives at the end of 2022, is a large language model and has attracted the attention of people from all walks of life. Following this, researchers have also conducted studies in many areas related to Chat-GPT in the literature. For this purpose, bibliometric data of different types of works scanned in the Web of Science database and published between 2020-2024 was taken as basis. When we look at the distribution of 415 works related to Chat GPT according to publication years, it is seen that the most were produced in 2024 (222 works), 2023 (186 works) and in each of other years (2 works). It is seen that there has been a concentration in the last two years; the authors who produced the most works are Viroj Wiwanitkit, and Wisit Cheungpasitporn and Jerome R. Lechien; The publication type is mainly journal article (286), paper (48), early appearance (45), review article (30) and letter(6); When the top five research fields are examined, it is found that works are published in the fields of computer science (101), general medicine (50), educational research (32), and surgery (26); the leadership in the distribution of publications by country is with publishers from the USA (123), China (47), and India (33); works are published primarily in English (405), Spanish (6), and Portuguese (3); and publications scanned in SCI-E (227), ESCI (115), and SSCI (45) indexes predominate. When the most frequently used keywords in publications related to Chat GPT are examined, the following are the leading expressions: “artificial intelligence” with 101 occurrences, “Chat gpt” with 90 occurrences, “large language models” with 43 occurrences, “chat gpt” with 42 occurrences, “ai” with 29 occurrences, “chat-gpt” with 27 occurrences, and “chatbot” with 17 occurrences.

Keywords

• Chat GPT
• Artificial Intelligence
• AI
• LLM
• Chatbot

References

1. Afgiansyah, A. 2023. Artificial intelligence neutrality: Framing analysis of GPT powered-Bing Chat and Google Bard. J Riset Kom (JURKOM), 6(2): 179-193.
2. Baber H, Nair K, Gupta R, Gurjar K. 2024. The beginning of ChatGPT–a systematic and bibliometric review of the literature. J Inf Learn Sci, 125(7/8): 587-614.
3. Barrington NM, Gupta N, Musmar B, Doyle D, Panico N, Godbole, N, Reardon T, D’Amico RS. 2023. A bibliometric analysis of the rise of Chatgpt in medical research. J Med Sci, 11(3): 61.
4. Buele I, and Guerra T. 2021. Bibliometric analysis of scientific production on tax evasion in science direct, years 2010 to 2019. J Leg Eth Reg Iss, 24: 1.
5. Bulut S. 2023. Üretken yapay zeka Chatgpt, Bing ve Bard karşılaştırmalı bir inceleme. Int J Adv Nat Sci Eng Res 7(9): 104 – 109.
6. Bulut S. 2024. Üretken yapay zeka teknolojisi: GPT-4o. 2024. Int J Adv Nat Sci Eng Res, 8(4): 380 – 387.
7. Cao Y, Li S, Liu Y, Yan Z, Dai Y, Yu PS, Sun L. 2023. A comprehensive survey of ai-generated content (aigc): A history of generative AI from Gan To Chatgpt, ArXiv preprint arXiv:2303.04226, 111:44.
8. Carreño IDVG. 2024. Chatgpt one year after its launch a bibliometric analysis. In Perspectivas Contemporáneas En Educación: Innovación, Investigación Y Transformación, pp: 1210-1233.

9. Dao XQ. 2023. Which large language model should you use in Vietnamese education: Chatgpt, Bing Chat, or Bard? Bing Chat, or Bard URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4527476 (accessed date: September 24, 2024).
10. Darmawan BR, Ramadhan MR, Nurmandi A, Fridayani HD, Loilatu MJ. (2024). Systematic review on public services in the implementation of smart city using Vosviewer. J Aristo, 13(1): 1-30.
11. European Commission. 2024. Living guidelines on the responsible use of generative AI in research. URL: https://research-and-innovation.ec.europa.eu/document/download/2b6cf7e5-36ac-41cb-aab5-0d32050143dc_en?filename=ec_rtd_ai-guidelines.pdf (accessed date: September 20, 2024).
12. Fahrudin TM. 2024. Bibliometric analysis and literature review of big data research fields using publish or Perish and Vosviewer. Nusantara Sci Technol Proceed, 2024: 250-258.
13. Farhat F, Silva ES, Hassani H, Madsen DØ, Sohail SS, Himeur Y, Zafar A. 2024. The scholarly footprint of ChatGPT: a bibliometric analysis of the early outbreak phase. J Front Artif Intel, 6: 1270749.
14. Gandasari D, Tjahjana D, Dwidienawati D, Sugiarto M. 2024. Bibliometric and visualized analysis of social network analysis research on Scopus databases and Vosviewer. J Cog Bus Manag, 11(1): 2376899.
15. Giannakopoulos K, Kavadella A, Aaqel Salim A, Stamatopoulos V, Kaklamanos EG. 2023. Evaluation of the performance of generative AI large language models Chatgpt, Google Bard, And Microsoft Bing chat in supporting evidence-based dentistry: Comparative mixed methods study. J Med Intern Res, 25: 51580.
16. Hua S, Jin S, Jiang S. 2024. The limitations and ethical considerations of Chatgpt. J Data Intel, 6(1): 201-239.
17. Kazak M, Kazak G. 2023. Sağlık turizmi alanında yapılan çalışmalarının Vosviewer ile bibliyometrik analizi. J Health Manag Lead, (1): 34-45.
18. Khan N, Khan Z, Koubaa A, Khan MK, Salleh RB. 2024. Global insights and the impact of generative AI-Chatgpt on multidisciplinary: a systematic review and bibliometric analysis. J Con Sci, 36(1): 2353630.
19. Khong I, Pangilinan GA, Abelar YJ, Yadav N, Mariano EP. 2024. Mapping cybersecurity literature: insights from Vosviewer analysis. J Ad Tech Innov, 1(1): 35-41.
20. Khosravi H, Shafie MR, Hajiabadi M, Raihan AS, Ahmed I. 2024. Chatbots and Chatgpt: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases. Int J Data Min Model Manag, URL: https://arxiv.org/pdf/2304.05436 (acessed date: September 20, 2024).
21. Krause D. 2023. Large language models and generative ai in finance: an analysis of Chatgpt, Bard, and Bing AI. Bard, and Bing AI. URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4511540 (accessed date: September 20, 2024).
22. Kumar R, Saxena S, Kumar V, Prabha V, Kumar R, Kukreti A. 2024. Service innovation research: a bibliometric analysis using Vosviewer. Competitiveness Review: An Int Bus J, 34(4): 736-760.
23. Kumari N, Indukuri BR, Ganti P. 2024. Exploring the intersection of entrepreneurship and blockchain technology: a research landscape through R studio and Vosviewer. In Blockchain Transformations: Navigating the Decentralized Protocols Era, Cham: Springer, Nature, Switzerland, pp: 181-196.
24. Kurnianingrum D, Jumri IAB, Ratnapuri CI, Karmagatri M, Kartawinata BR. 2024. Exploring the Chat GPT's impact and prospects for business research purposes. In 3rd International Conference for Innovation in Technology (INOCON), March 1-3, Bangalore, India, pp: 1-6.
25. Li F. 2024. Computer bibliometric analysis of Hakka dialect phonetics based on Citespace and Vosviewer. J Elect Sys, 20(2): 752-760.
26. Liu J, Wang C, Liu Z, Gao M, Xu Y, Chen J, Cheng Y. 2024. A bibliometric analysis of generative AI in education: current status and development. Asia Pacific J Edu, 44(1): 156-175.
27. Makrygiannakis MA, Giannakopoulos K, Kaklamanos E G. 2024. Evidence-based potential of generative artificial intelligence large language models in orthodontics: a comparative study of Chatgpt, Google Bard, and Microsoft Bing. Europ J Orth, 46(2): 1-7.
28. Matusov, E, GPT, C, Smith, MP, Shugurova, O. 2023. Does Chatgpt4 have a dialogical self? a Bakhtinian perspective. J Cult Psyc, 1354067X231219454: 1–30.
29. Meer DV. 2024. Number of ChatGPT users and key stats. URL: https://www.namepepper.com/chatgpt-users (accessed date: September 3, 2024).
30. Microsoft. 2024. URL: https://support.microsoft.com/en-us/topic/copilot-in-bing-our-approach-to-responsible-ai-45b5eae8-7466-43e1-ae98-b48f8ff8fd44#:~:text=In%20November%202023%2C%20Microsoft%20renamed,commitment%20to%20responsible%20AI%20seriously. (accessed date: September 10, 2024).
31. Motlagh NY, Khajavi M, Sharifi A, Ahmadi M. 2023. The impact of artificial intelligence on the evolution of digital education: a comparative study of Openai text generation tools including Chatgpt, Bing Chat, Bard, And Ernie. ArXiv preprint arXiv:2309.02029. URL: https://arxiv.org/pdf/2309.02029 (accessed date: September 3, 2024).
32. Nandiyanto ABD, Al Husaeni DN, and Al Husaeni DF. 2021. A bibliometric analysis of chemical engineering research using Vosviewer and its correlation with covid-19 pandemic condition. J Eng Sci Tech, 16(6): 4414-4422.
33. Nandiyanto ABD, Fiandini M, and Al Husaeni DN. 2024. Research trends from the Scopus database using keyword water hyacinth and ecosystem: a bibliometric literature review. Asean J Sci Eng, 4(1): 33-48.
34. Ninova V, Ninov N. 2024. Inshurtech: bibliometric analysis using Vosviewer. 109th International Scientific Conference on Economic and Social Development - "Green Economy & Sustainable Development”, 5-6 April, Dubrovnik, Croatia, pp: 125.
35. Oliński M, Krukowski K, Sieciński K. 2024. Bibliometric overview of Chatgpt: new perspectives in social sciences. Publications, 12(1): 9.
36. Polat H, Topuz A, Yıldız M, Taşlıbeyaz E, Kurşun E. 2024. A bibliometric analysis of research on Chatgpt in education. Int J Tech Edu (IJTE), 7(1): 59-85.
37. Rayhan, S. 2024. The impact of changing the name of google ai from Bard to Gemini. DOI: 10.13140/RG.2.2.30294.83520. URL: https://www.researchgate.net/publication/378124023_The_Impact_of_Changing_the_Name_of_Google_AI_from_Bard_to_Geminichannel=doilinkId=65c77d891bed776ae33baed0showFulltext=true (accessed date: September 10, 2024).
38. Ria RRP. 2024. Computational thinking assessment: bibliometric analysis-Vosviewer. Simki Pedag, 7(1): 305-316.
39. Rudolph J, Tan S, Tan S. 2023. War of the chatbots: Bard, Bing Chat, Chatgpt, Ernie and beyond. The new ai gold rush and its impact on higher education. J App Learn Teach, 6(1): 364-389.
40. Safdar M, Siddique N, Gulzar A, Adil S A, Yasin H, Khan MA. 2024. A bibliometric analysis of literature published on Chatgpt and GPT. Global Knowledge, Memory and Communication. URL: https://doi.org/10.1108/GKMC-08-2023-0304 (accessed date: September 10, 2024).
41. Sallam M, Al-Salahat K, Eid H, Egger J, Puladi B. 2024. Human versus artificial intelligence: Chatgpt-4 outperforming Bing, Bard, Chatgpt-3.5, and humans in clinical chemistry multiple-choice questions. Adv Med Edu Prac, 15: 857-87.
42. Samala AD, Sokolova EV, Grassini S, Rawas S. 2024. ChatGPT: a bibliometric analysis and visualization of emerging educational trends, challenges, and applications. Inter J Eval Res Edu (IJERE), 13(4): 2374-2387.
43. Sampath A, Sukumar M, Tejaswini P, Gupta A, Khadanga S. 2023. Acute pneumonia like illness and sepsis in India: is it time to suspect pulmonary melioidosis? Cureus, 15(3): e36122.
44. Subham S. 2024. ChatGPT Statistics (AUG 2024) – users growth data. URL: https://www.demandsage.com/chatgpt-statistics/ (accessed date: September 3, 2024).
45. Tian Q, Yi W, Wang PXX, Zhang Y. 2023. Bibliometric analysis of research on Chatgpt: using Vosviewer. In Proceedings of the 2023 6th International Conference on Educational Technology Management, November 3-5, Guangzhou, China, pp: 235-243.
46. Unesco. 2024. Eğitim ve araştırmada üretken yapay zekâ kılavuzu URL: https://unesdoc.unesco.org/ark:/48223/pf0000390842/PDF/390842tur.pdf.multi (accessed date: September 3, 2024).
47. Wu X, Duan R, Ni J. 2024. Unveiling security, privacy, and ethical concerns of Chatgpt. J Inf Intelli, 2(2): 102-115.
48. YÖK. 2024. Yükseköğretim kurumları bilimsel araştırma ve yayın faaliyetlerinde üretken yapay zekâ kullanımına dair etik rehber. URL: https://www.yok.gov.tr/Documents/2024/yapay-zeka-kullanimina-dair-etik-rehber.pdf (accessed date: September 3, 2024).
49. Zafrullah Z, Hardi VA, Nabilah N, Fitriani A. 2024. Transforming the utilization of Chatgpt in education: a bibliometric analysis. Innovative: J Soc Sci Res, 4(1): 5610-5623.
50. Zheltukhina MR, Sergeeva OV, Masalimova AR, Budkevich RL, Kosarenko NN, Nesterov GV. 2024. A bibliometric analysis of publications on Chatgpt in education: research patterns and topics. Online J Com Media Tech 14: e202405.