Francisco Herrera Google Scholar: h-index, Total Citations, and Citation Map
Francisco Herrera's h-index is 198 (868 i10-index, 196,478+ total citations across 1,000+ publications) according to Google Scholar as of October 2026. Francisco Herrera is affiliated with Professor Computer Science and AI, DaSCI Research Institute, Granada University, Spain.
Francisco Herrera is a researcher affiliated with Professor Computer Science and AI, DaSCI Research Institute, Granada University, Spain, specializing in Artificial Intelligence, Computational Intelligence, Data Science. Their work has been cited 196,478 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Francisco Herrera's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 17 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 198
- i10-Index
- 868
- Total Citations
- 196,478
- Citing Countries
- 100
As of October 2026.
Francisco Herrera has an h-index of 198 and 196,478 total citations across 1000 publications, with research cited by institutions in 100 countries.
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Global Impact Map
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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
202014,340
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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.
1616 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational framework for Explainable AI, defining its concepts and taxonomies to advance responsible and trustworthy artificial intelligence systems.
The researcher established a foundational 2-tuple fuzzy linguistic representation model for computing with words, subsequently extending this framework to address consensus mechanisms in group decision-making.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Francisco Herrera's research
Francisco Herrera is a researcher in Artificial Intelligence, Computational Intelligence and Data Science at Professor Computer Science and AI, DaSCI Research Institute, Granada University, Spain. Their work has been cited 196,478 times across 1,000 publications (h-index 198), according to Google Scholar.
Their most-cited work, “Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI” (2020), has accumulated 14,340 citations. Other influential works include “A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms” (2011) with 6,260 citations and “Science mapping software tools: Review, analysis, and cooperative study among tools” (2011) with 4,537 citations.
Citations of Francisco Herrera's research come primarily from China, India and United States, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
