Inteligencia Artificial - Chatgpt: un estudio bibliométrico y su aplicación en el caso de Gases de Efecto Invernadero




La aparición de la Inteligencia Artificial (IA) ha potenciado la interacción del ser humano con los sistemas informáticos, que van desde lo cotidiano hasta la investigación aplicada. ChatGPT utiliza el modelo de lenguaje Generative Pre-trained Transformer (GPT) de OpenAI, que permite realizar tareas específicas y responder preguntas. En la actualidad se viene explorando la aplicación de este modelo de lenguaje en distintas áreas de investigación tales como educación, salud, etc. Este estudio busca caracterizar la bibliometría de “ChatGPT” y analizar su posible aplicación en la revisión de literatura sobre gases de efecto invernadero. Hasta el 17 de enero de 2024, se han registrado 4 288 documentos científicos que mencionan a la IA, siendo Estados Unidos, el país con mayor aporte de documentos. Al consultar sobre ¿Cuáles son las principales aplicaciones en que ChatGPT revolucionará la búsqueda sobre gases de efecto invernadero en el mundo? Las respuestas fueron: acceso a información actualizada, análisis y modelado, divulgación científica, asesoramiento y recomendaciones; y educación y concientización. ChatGPT proporciona respuestas útiles y relevantes, sin embargo, no fundamenta sus respuestas. Por esta razón, la sustentación técnica y científica sigue siendo responsabilidad del investigador, dado que esta Inteligencia Artificial complementa el juicio humano, no la reemplaza.


Ali, M. J., & Djalilian, A. (2023). Readership Awareness Series - Paper 4: Chatbots and ChatGPT - Ethical Considerations in Scientific Publications. Seminars In Ophthalmology, 38(5), 403–404.

Alser, M., & Waisberg, E. (2023). Concerns with the Usage of ChatGPT in Academia and Medicine: A Viewpoint. American Journal of Medicine Open, 9.

Agathokleous, E., Saitanis, C., & Fang, C. (2023). Use of ChatGPT: What does it mean for biology and environmental science? Science of the Total Environment, 888.

Anderson, N., Belavy, D. L., Perle, S. M., et al (2023). AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation. BMJ Open Sport & Exercise Medicine, 9, e001568.

Amirteimoori, A., Allahviranloo, T., Zadmirzaei, M., & Hasanzadeh, F (2023). On the environmental performance analysis: A combined fuzzy data envelopment analysis and artificial intelligence algorithms. Expert Systems with Applications, 224.

Akhshik, M., Bilton, A., Tjong, J., Singh, C. V., Faruk, O., & Sain, M. (2022). Prediction of greenhouse gas emissions reductions via machine learning algorithms: Toward an artificial intelligence-based life cycle assessment for automotive lightweighting. Sustainable Materials and Technologies, 31.

Archibald, M.M., & Clark, A.M. (2023). ChatGPT: What is it and how can nursing and health science education use it?. Journal of Advanced Nursing.

Badini, S., Regondi, S., Frontoni, E., & Pugliese, R. (2023) Assessing the capabilities of ChatGPT to improve additive manufacturing troubleshooting. Advanced Industrial and Engineering Polymer Research, 6(3) 278-287,

Bhatia, G., & Kulkarni, A. (2023). ChatGPT as Co-author: Are researchers impressed or distressed?. Asian journal of psychiatry, 84, 103564.

Cahan, P., & Treutlein, B. (2023). A conversation with ChatGPT on the role of computational systems biology in stem cell research. Stem Cell Reports, 18(1), 1-2.

Cifarelli, C. P., & Sheehan, J. P (2023). Large language model artificial intelligence: the current state and future of ChatGPT in neuro-oncology publishing. J Neurooncol 163, 473–474

Else, H. (2023). Abstracts written by ChatGPT fool scientists. Nature, 613, 423.

Dianzhe, T., Shitao, J., Lei, Z., Xin. L., & Yiyao, X. (2024). The role of large language models in medical image processing: a narrative review. Quantitative Imaging in Medicine and Surgery, 14(1),1108-1121. 10.21037/qims-23-892

Fathi, S., Srinivasan, R., Kibert, Ch., Steiner, R., & Demirezen, E. (2020). AI-based campus energy use prediction for assessing the effects of climate change. Sustainability (Switzerland), 12(8). 1 – 22.

Liyev, H. (2023). Artificial intelligence and unemployment in high-tech developed countries: New insights from dynamic panel data model. Research in Globalization, 7, 100140.

Hasan, J., & Farjahan, S. (2023). Automatic and Authentic Assessment of Online Database Design Theory Assignments. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 77-91.

Hill-Yardin, E. L., Hutchinson, M. R., Laycock, R., & Spencer, S. J. (2023). A Chat (GPT) about the future of scientific publishing. Brain Behav Immun, 110, 152-154.

Hirsch, J.E (2005). An Index to Quantify an Individual’s Scientific Research Output. Proc. Natl. Acad. Sci. USA. 102, 16569–16572

Holzinger, A., Keiblinger, K., Holub, P., Zatloukal, K., & Müller, H. (2023). AI for life: Trends in artificial intelligence for biotechnology. New Biotechnology, 74, 16-24.

Howison, J., & Bullard, J. (2016). Software in the scientific literature: Problems with seeing, finding, and using software mentioned in the biology literature. Journal of the Association for Information Science and Technology, 67(9), 2137–2155

Huh, S. (2023). Issues in the 3rd year of the COVID-19 pandemic, including computer-based testing, study design, ChatGPT, journal metrics, and appreciation to reviewers. Journal of educational evaluation for health professions, 20, 5.

Jones, A., Kuehnert, J., Fraccaro, P., Meuriot, O., Ishikawa T., Edwars. B., Stoyanov, N., Sekou, L., Weldemariam, K., & Assefa, S. (2023). AI for climate impacts: applications in flood risk. Climate and Atmospheric Science, 6(1).

Lahat, A., Shachar, E., Avidan, B., Shatz, Z., Glicksberg, B., & Klang, E. (2023). Evaluating the use of large language model in identifying top research questions in gastroenterology. Scientific Reports, 13(1).

Levin G., Brezinov Y., & Meyer R. (2023). Exploring the use of ChatGPT in OBGYN: a bibliometric analysis of the first ChatGPT-related publications. Arch Gynecol Obstet.

Lo, C. K. (2023). What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature. Education Sciences, 13(4), 410.

Mujeeb, S., & Javaid, N. (2023). Deep learning-based carbon emissions forecasting and renewable energy's impact quantification. IET Renewable Power Generation, 17(4), 873 – 884. DOI

Pan, X., Cui, M., Yu, X., & Hua, W. (2017). How is CiteSpace used and cited in the literature? An analysis of the articles published in English and Chinese core journals. ISSI 2017–16th International conference on Scientometrics and Informetrics.

Pavlik, J. V. (2023). Collaborating With ChatGPT: Considering the Implications of Generative Artificial Intelligence for Journalism and Media Education. Journalism & Mass Communication Educator, 78(1), 84–93.

Ravindra, K. G., Vijeth, L. Urs., Akshya A. A., Sarvesh, K. C., Vimal, P., & Sujita, K. K. (2023). Exploring the Role of Chat GPT in patient care (diagnosis and Treatment) and medical research: A Systematic Review. MedRxiv.

Rani, P. S., Rani, K. R., Daram, S. B. et al (2023). Is It Feasible to Reduce Academic Stress in Net-Zero Energy Buildings? Reaction from ChatGPT. Ann Biomed Eng.

Raper, R., J. Boeddinghaus, M., Coeckelbergh, W., Gross, P. Campigotto., & C. N. Lincoln. (2022). Sustainability budgets: A practical management and governance method for achieving goal 13 of the sustainable development goals for AI development. Sustainability, 14(7) 4019.

Reddy, V., Nafees, A., & Raman, S. (2023). Recent advances in artificial intelligence applications for supportive and palliative care in cancer patients. Curr Opin Support Palliat Care, 17(2), 125-134.

Rouhiainen, L. (2018). Inteligencia artificial. Alienta Editorial.

Sadiku, M. N., Ashaolu, T. J., Ajayi-Majebi, A., & Musa, S. M. (2021). Artificial intelligence in education. International Journal of Scientific Advances, 2(1), 5–11.

Salvagno, M., Taccone, F., & Gerli, A. (2023). Can artificial intelligence help for scientific writing?. Critical Care, 27(1).

Siche, R., & Siche, N. (2023). El modelo de lenguaje basado en inteligencia artificial sensible - ChatGPT: Análisis bibliométrico y posibles usos en la agricultura y pecuaria. Scientia Agropecuaria, 14(1), 111-116.

Sorley, L., Bizon, N., Thounthong, P., Varlam, M., Carcadea, E., Culcer, M., Iliescu, M., & Raceanu, M. (2021). Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies. Energies. 14(1).

Stokel-Walker, C., & Van Noorden, R. (2023). What ChatGPT and generative AI mean for science. Nature, 614(7947), 214–216.

Talan, T. (2021). Artificial intelligence in education: A bibliometric study. International Journal of Research in Education and Science (IJRES), 7(3), 822-837.

Tahamtan, I.m Afshar, A. S., & Ahamdzadeh, K. (2016). Factors Affecting Number of Citations: A Comprehensive Review of the Literature. Scientometrics 107, 1195–1225.

Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science, 379(6630), 313.

Van, N. J., & Waltman, L (2010) Encuesta de software: VOSviewer, un programa informático para mapeo bibliométrico. Cienciometría 84, 523–538.

Wegmann, M., & Jaume-Santero, F. (2023). Artificial intelligence achie-ves easy-to-adapt nonlinear global temperature reconstructions using minimal local data. Communications Earth and Environ-ment, 4(1).

Zao, W. (2021). Brief discussion on the application value of artificial intelligence technology in environmental art design. ACM International Conference Proceeding Series19 August 2021 Article number 34658386th International Conference on Information Management and Technology.

Zwane, N., Tazvinga, H., Botai, C., Murambadoro, M., Botai, J., de Wit, J., Mabasa, B., Daniel, S., & Mabhaudhi, T. (2022). Bibliometric Analysis of Solar Energy Forecasting Studies in Africa. Energies, 15(15).




Cómo citar

Chinguel Laban, D. O., & Minaya Gutierrez, C. A. (2024). Inteligencia Artificial - Chatgpt: un estudio bibliométrico y su aplicación en el caso de Gases de Efecto Invernadero. Manglar, 21(1), 149–157.