Cloud computing research in computer science and engineering: analyzing output patterns from Scopus
DOI:
https://doi.org/10.51252/rcsi.v5i1.908Keywords:
Artificial intelligence, big data, bibliometrics, cloud computing, Internet of Things, literature reviewAbstract
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 University of the Chinese Academy of Sciences (China), Carnegie Mellon University (United States), Zhejiang University (China), Massachusetts Institute of Technology (MIT, United States), and Stanford University (United 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.
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Copyright (c) 2025 William Joel Marín Rodriguez, Daniel Cristóbal Andrade Girón, Edgar Tito Susanibar Ramirez, Marcelo Zúñiga Rojas
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