
International Journal of Public Administration, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15
Published: March 20, 2025
Language: Английский
International Journal of Public Administration, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15
Published: March 20, 2025
Language: Английский
Research in Globalization, Journal Year: 2025, Volume and Issue: unknown, P. 100278 - 100278
Published: March 1, 2025
Language: Английский
Citations
0DYNA, Journal Year: 2025, Volume and Issue: 92(235), P. 28 - 37
Published: Feb. 3, 2025
Machine learning is currently emerging as one of the most rapidly advancing technologies, with a recent upward trend in its use for process automation across industrial processes. The objective this study was to conduct bibliometric analysis identify research trends machine learning. Scopus database used scientific production. Bibliometric indicators visibility, impact, and concurrence were analyzed. 7,335 documents, involving 22,383 authors, showed growth rate 20.86% from 1988 early 2024. Three dominant identified: first based on applications processes, second referring human factor artificial intelligence, third related convolutional neural networks.
Language: Английский
Citations
0International Journal of Public Administration, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15
Published: March 20, 2025
Language: Английский
Citations
0