PEDRO VILLAR CASTRO: h-index, Total Citations, and Citation Map
PEDRO VILLAR CASTRO's h-index is 18 (21 i10-index, 1,418+ total citations across 76+ publications) according to Google Scholar as of June 2026. PEDRO VILLAR CASTRO is affiliated with Profesor de Informática, Universidad de Granada.
PEDRO VILLAR CASTRO is a researcher affiliated with Profesor de Informática, Universidad de Granada, specializing in Aprendizaje automático, Algoritmos genéticos. Their work has been cited 1,418 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
PEDRO VILLAR CASTRO's Citation Metrics
Bibliometric impact based on 76 indexed publications.
- H-Index
- 18
- i10-Index
- 21
- Total Citations
- 1,418
- Citing Countries
- 41
As of June 2026.
PEDRO VILLAR CASTRO has an h-index of 18 and 1,418 total citations across 76 publications, with research cited by institutions in 41 countries.
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Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base
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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 PEDRO VILLAR CASTRO's research
PEDRO VILLAR CASTRO is a researcher in Aprendizaje automático and Algoritmos genéticos at Profesor de Informática, Universidad de Granada. Their work has been cited 1,418 times across 76 publications (h-index 18), according to Google Scholar.
Their most-cited work, “Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base” (2002), has accumulated 382 citations. Other influential works include “A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base” (2001) with 155 citations and “Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing” (2000) with 150 citations.
Citations of PEDRO VILLAR CASTRO'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.
