Miguel Pagola: h-index, Total Citations, and Citation Map
Miguel Pagola's h-index is 34 (55 i10-index, 5,418+ total citations across 100+ publications) according to Google Scholar as of June 2026. Miguel Pagola is affiliated with Universidad Pública de Navarra.
Miguel Pagola is a researcher affiliated with Universidad Pública de Navarra, specializing in Inteligencia Artificial. Their work has been cited 5,418 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Miguel Pagola's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 34
- i10-Index
- 55
- Total Citations
- 5,418
- Citing Countries
- 53
As of June 2026.
Miguel Pagola has an h-index of 34 and 5,418 total citations across 100 publications, with research cited by institutions in 53 countries.
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We've mapped 5,000 of 5,418 citations for Miguel Pagola
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Global Impact Map
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A historical account of types of fuzzy sets and their relationships
2015564
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
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.
4 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 Miguel Pagola's research
Miguel Pagola is a researcher in Inteligencia Artificial at Universidad Pública de Navarra. Their work has been cited 5,418 times across 100 publications (h-index 34), according to Google Scholar.
Their most-cited work, “A historical account of types of fuzzy sets and their relationships” (2015), has accumulated 564 citations. Other influential works include “Grouping, overlap, and generalized bientropic functions for fuzzy modeling of pairwise comparisons” (2011) with 381 citations and “Interval-valued fuzzy sets constructed from matrices: Application to edge detection” (2009) with 288 citations.
Citations of Miguel Pagola's research come primarily from Spain, China and Brazil, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











