Salvador García: h-index, Total Citations, and Citation Map
Salvador García's h-index is 68 (171 i10-index, 60,629+ total citations across 3+ publications) according to Google Scholar as of July 2026. Salvador García is affiliated with Full Professor of Computer Science and Artificial Intelligence. University of Granada..
Salvador García is a researcher affiliated with Full Professor of Computer Science and Artificial Intelligence. University of Granada., specializing in Artificial Intelligence, Data Science, Machine Learning. Their work has been cited 60,629 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Salvador García's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 68
- i10-Index
- 171
- Total Citations
- 60,629
- Citing Countries
- 27
As of July 2026.
Salvador García has an h-index of 68 and 60,629 total citations across 3 publications, with research cited by institutions in 27 countries.
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Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
202014,302
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.
The researcher developed KEEL, a comprehensive data-mining software tool featuring a dataset repository, algorithm integration, and experimental analysis framework, establishing a standardized benchmark for the field.
The researcher established a foundational framework for Explainable AI by defining its concepts, taxonomies, and challenges, creating a widely adopted reference for responsible AI development.
The researcher established a standardized methodological framework for applying nonparametric statistical tests to rigorously compare evolutionary and swarm intelligence algorithms.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Salvador García's research
Salvador García is a researcher in Artificial Intelligence, Data Science and Machine Learning at Full Professor of Computer Science and Artificial Intelligence. University of Granada.. Their work has been cited 60,629 times across 3 publications (h-index 68), according to Google Scholar.
Their most-cited work, “Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI” (2020), has accumulated 14,302 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 6,117 citations and “KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework” (2015) with 3,401 citations.
Citations of Salvador García's research come primarily from China, Spain 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.
