Carlos Lopez-Molina: h-index, Total Citations, and Citation Map
Carlos Lopez-Molina's h-index is 25 (41 i10-index, 2,230+ total citations across 99+ publications) according to Google Scholar as of June 2026. Carlos Lopez-Molina is affiliated with Universidad Publica de Navarra.
Carlos Lopez-Molina is a researcher affiliated with Universidad Publica de Navarra, specializing in Artificial Intelligence, Computer Vision, Fuzzy Logic. Their work has been cited 2,230 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Carlos Lopez-Molina's Citation Metrics
Bibliometric impact based on 99 indexed publications.
- H-Index
- 25
- i10-Index
- 41
- Total Citations
- 2,230
- Citing Countries
- 43
As of June 2026.
Carlos Lopez-Molina has an h-index of 25 and 2,230 total citations across 99 publications, with research cited by institutions in 43 countries.
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Aggregation functions for typical hesitant fuzzy elements and the action of automorphisms
2014207
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Top Citing Institutions
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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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Carlos Lopez-Molina's research
Carlos Lopez-Molina is a researcher in Artificial Intelligence, Computer Vision and Fuzzy Logic at Universidad Publica de Navarra. Their work has been cited 2,230 times across 99 publications (h-index 25), according to Google Scholar.
Their most-cited work, “Aggregation functions for typical hesitant fuzzy elements and the action of automorphisms” (2014), has accumulated 207 citations. Other influential works include “Quantitative error measures for edge detection” (2013) with 194 citations and “Multiscale Edge Detection Based on Gaussian Smoothing and Edge Tracking” (2013) with 170 citations.
Citations of Carlos Lopez-Molina's research come primarily from China, Spain and India, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
