Investigación sobre computación en nube en ciencias de la computación e ingeniería: análisis de resultados de Scopus

William Joel Marín Rodriguez; Daniel Cristóbal Andrade Girón; Edgar Tito Susanibar Ramirez; Marcelo Zúñiga Rojas

doi:10.51252/rcsi.v5i1.908

Autores/as

William Joel Marín Rodriguez Universidad Nacional José Faustino Sánchez Carrión https://orcid.org/0000-0002-0861-9663
Daniel Cristóbal Andrade Girón Universidad Nacional José Faustino Sánchez Carrión
Edgar Tito Susanibar Ramirez Universidad Nacional José Faustino Sánchez Carrión
Marcelo Zúñiga Rojas Universidad Nacional José Faustino Sánchez Carrión

DOI:

https://doi.org/10.51252/rcsi.v5i1.908

Palabras clave:

Inteligencia artificial, big data, Bibliometría, computación en la nube, Internet de las cosas, revisión de literatura

Resumen

Analizamos las últimas tendencias en investigación de código abierto desde 2020 hasta 2024. Utilizamos técnicas bibliométricas como la productividad y la colaboración entre autores, la productividad y la colaboración institucional, y la co-ocurrencia de términos. Utilizamos Scopus para recoger la muestra analizada. En cuanto a la productividad por autores, los que más destacan han superado el umbral de 9 artículos en los últimos cinco años. Entre ellas, las más productivas son la Universidad de la Academia China de Ciencias (China), la Universidad Carnegie Mellon (Estados Unidos), la Universidad de Zhejiang (China), el Instituto Tecnológico de Massachusetts (MIT, Estados Unidos) y la Universidad de Stanford (Estados Unidos). El análisis de palabras conjuntas reveló cinco grupos temáticos: software de código abierto e inteligencia artificial, investigación médica y metodologías científicas, revisiones sistemáticas y estudios de impacto sanitario, simulación, física cuántica y sistemas complejos, e investigación médica y demográfica.

Citas

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