Marzieh Haghbeen 
, Mahdi Foroughian , Mohsen Ebrahimi , Hamid Zamani Moghadam , Hossein Akhavan , Ali Ravaghi , Amir Hossein Pourdavood
, Mahdi Foroughian , Mohsen Ebrahimi , Hamid Zamani Moghadam , Hossein Akhavan , Ali Ravaghi , Amir Hossein Pourdavood
Abstract: (7 Views)
Introduction
Artificial intelligence has emerged as a transformative approach in trauma sciences. Iran bears a substantial trauma burden, and its scientific contribution to AI‑driven healthcare research is steadily expanding.
Methods
In this bibliometric study the PubMed, Web of Science and Scopus databases were searched via the OpenAlex search engine for studies on artificial intelligence and trauma. Articles with at least one Iran‑affiliated author that addressed AI applications in trauma‑related fields were identified. Data were extracted on publication characteristics, citation counts, field‑weighted citation impact, authors, organizational affiliations, countries and referenced works.
Results
A total of 3093 articles were analysed. The number of publications by Iranian researchers increased markedly after 2019, reaching 856 in 2025. The dataset revealed extensive international connectivity, with links to 123 countries and 2732 collaboration ties. International collaboration was associated with higher citation impact, and regression analysis showed that the number of collaborating countries had a positive association with citation impact (β = 0.0956, P < 0.001).
Conclusion
AI research in trauma science in Iran has experienced rapid growth and increasing international integration. International collaboration appears to be an important determinant of scientific visibility and citation performance. Continued development of multidisciplinary international networks could further strengthen Iran’s contribution to trauma research and AI‑based clinical innovation.
Artificial intelligence has emerged as a transformative approach in trauma sciences. Iran bears a substantial trauma burden, and its scientific contribution to AI‑driven healthcare research is steadily expanding.
Methods
In this bibliometric study the PubMed, Web of Science and Scopus databases were searched via the OpenAlex search engine for studies on artificial intelligence and trauma. Articles with at least one Iran‑affiliated author that addressed AI applications in trauma‑related fields were identified. Data were extracted on publication characteristics, citation counts, field‑weighted citation impact, authors, organizational affiliations, countries and referenced works.
Results
A total of 3093 articles were analysed. The number of publications by Iranian researchers increased markedly after 2019, reaching 856 in 2025. The dataset revealed extensive international connectivity, with links to 123 countries and 2732 collaboration ties. International collaboration was associated with higher citation impact, and regression analysis showed that the number of collaborating countries had a positive association with citation impact (β = 0.0956, P < 0.001).
Conclusion
AI research in trauma science in Iran has experienced rapid growth and increasing international integration. International collaboration appears to be an important determinant of scientific visibility and citation performance. Continued development of multidisciplinary international networks could further strengthen Iran’s contribution to trauma research and AI‑based clinical innovation.
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