María José Gacto: h-index, Total Citations, and Citation Map
María José Gacto's h-index is 18 (29 i10-index, 2,390+ total citations across 57+ publications) according to Google Scholar as of June 2026. María José Gacto is affiliated with University of Jaén.
María José Gacto is a researcher affiliated with University of Jaén, specializing in Evolutionary Algorithms, Fuzzy Rule-Based Systems, Multiobjective Genetic Algorithms and Interpretability. Their work has been cited 2,390 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
María José Gacto's Citation Metrics
Bibliometric impact based on 57 indexed publications.
- H-Index
- 18
- i10-Index
- 29
- Total Citations
- 2,390
- Citing Countries
- 53
As of June 2026.
María José Gacto has an h-index of 18 and 2,390 total citations across 57 publications, with research cited by institutions in 53 countries.
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Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures
2011712
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
6 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About María José Gacto's research
María José Gacto is a researcher in Evolutionary Algorithms, Fuzzy Rule-Based Systems and Multiobjective Genetic Algorithms and Interpretability at University of Jaén. Their work has been cited 2,390 times across 57 publications (h-index 18), according to Google Scholar.
Their most-cited work, “Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures” (2011), has accumulated 712 citations. Other influential works include “Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms” (2009) with 229 citations and “A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems” (2011) with 190 citations.
Citations of María José Gacto's research come primarily from Spain, China and Italy, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











