Latest research trends on open-source research

La-Cruz-orbe S.; Ramos-Y-Yovera S.E.; Luperdi-Ríos F.V.; Neri Ayala A.C. · Revista Cientifica de Sistemas e Informatica (2025) · DOI: 10.51252/rcsi.v5i1.911

Resumen

We analyzed the latest trends in open-source research from 2020 to 2024. We used bibliometric techniques such as productivity and author collaboration, productivity and institutional collaboration, and co-occurrence of terms. We used Scopus to collect the sample we analyzed. Regarding the productivity by authors, those who stand out the most have exceeded the threshold of 9 articles in the last five years. Among the organizations, the most productive are the Úniversity of the Chinese Academy of Sciences (China), Carnegie Mellon Úniversity (Únited States), Zhejiang Úniversity (China), Massachusetts Institute of Technology (MIT, Únited States), and Stanford Úniversity (Únited States). The co-word analysis revealed five topical clusters: open-source software and artificial intelligence, medical research and scientific methodologies, systematic reviews and health impact studies, simulation, quantum physics and complex systems, and medical and demographic research. © The authors.

Instituciones: Universidad Nacional José Faustino Sánchez Carrión