Jorge Casillas: h-index, Total Citations, and Citation Map
Jorge Casillas's h-index is 35 (76 i10-index, 5,451+ total citations across 162+ publications) according to Google Scholar as of June 2026. Jorge Casillas is affiliated with Full Professor of Computer Science and Artificial Intelligence, University of Granada.
Jorge Casillas is a researcher affiliated with Full Professor of Computer Science and Artificial Intelligence, University of Granada, specializing in Data Science, Data Stream Mining, Fuzzy Systems. Their work has been cited 5,451 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Jorge Casillas's Citation Metrics
Bibliometric impact based on 162 indexed publications.
- H-Index
- 35
- i10-Index
- 76
- Total Citations
- 5,451
- Citing Countries
- 13
As of June 2026.
Jorge Casillas has an h-index of 35 and 5,451 total citations across 162 publications, with research cited by institutions in 13 countries.
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Interpretability issues in fuzzy modeling
2003635
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jorge Casillas's research
Jorge Casillas is a researcher in Data Science, Data Stream Mining and Fuzzy Systems at Full Professor of Computer Science and Artificial Intelligence, University of Granada. Their work has been cited 5,451 times across 162 publications (h-index 35), according to Google Scholar.
Their most-cited work, “Interpretability issues in fuzzy modeling” (2003), has accumulated 635 citations. Other influential works include “Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights” (2013) with 350 citations and “Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction” (2005) with 323 citations.
Citations of Jorge Casillas's research come primarily from United States, Italy and Spain, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
