Artículo

San Luis Potosi local science system’s bibliometric study (1920-2015)

Resumen

An informational metric study of San Luis Potosi state’s institutional scientific productivity from 1920 to 2015 is presented. The informational metric instrument is created from two mainstream data bases, a historic data base and institutional reservoirs. The final analysis was performed on 6,574 bibliographic records, signed by authors from 59 Potosinian scientific institutions. The main characteristics found in the scientific literature reflect a high concentration of scientific collaboration and a clear correlation between the scientific disciplines presented in Potosinian institutions and the estate areas of innovation and development.
Hidayat, Erwin Yudi (57205439013); Hastuti, Khafiizh (56485990500); Muda, Azah Kamilah (23390362900)
Artificial intelligence in digital image processing: A bibliometric analysis
2025
10.1016/j.iswa.2024.200466
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212984349&doi=10.1016%2fj.iswa.2024.200466&partnerID=40&md5=14c2a82f6cb46e9efa80c050fc79c24f
Faculty of Computer Science, Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Dinus Research Group for AI in Medical Science (DREAMS), Universitas Dian Nuswantoro, Semarang, 50131, Indonesia; Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, 76100, Malaysia
All Open Access; Gold Open Access
Scopus
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