Isaac Triguero Velázquez: h-index, Total Citations, and Citation Map
Isaac Triguero Velázquez's h-index is 38 (73 i10-index, 6,953+ total citations across 1+ publications) according to Google Scholar as of May 2026. Isaac Triguero Velázquez is affiliated with Assoc Prof at Univ of Granada, Honorary Assoc Prof at Univ of Nottingham.
Isaac Triguero Velázquez is a researcher affiliated with Assoc Prof at Univ of Granada, Honorary Assoc Prof at Univ of Nottingham, specializing in General Purpose AI, data preprocessing, big data. Their work has been cited 6,953 times. This profile visualizes their global influence, highlighting strong citation networks in South Korea.
Isaac Triguero Velázquez's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 38
- i10-Index
- 73
- Total Citations
- 6,953
- Citing Countries
- 6
As of May 2026.
Isaac Triguero Velázquez has an h-index of 38 and 6,953 total citations across 1 publication, with research cited by institutions in 6 countries.
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Top Cited Works
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Self-labeled techniques for semi-supervised learning: Taxonomy, software and empirical study
2015808
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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.
The researcher established a foundational taxonomy and software framework for self-labeled semi-supervised learning techniques, providing a critical empirical benchmark for the field.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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