Humberto Bustince Google Scholar: h-index, Total Citations, and Citation Map
Humberto Bustince's h-index is 90 (330 i10-index, 31,003+ total citations across 866+ publications) according to Google Scholar as of October 2026. Humberto Bustince is affiliated with Universidad Publica de Navarra.
Humberto Bustince is a researcher affiliated with Universidad Publica de Navarra, specializing in Artificial Intelligence, Fuzzy Logic, Image Processing. Their work has been cited 31,003 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Humberto Bustince's Citation Metrics
Bibliometric impact based on 866 indexed publications. Of these, 1 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 90
- i10-Index
- 330
- Total Citations
- 31,003
- Citing Countries
- 11
As of October 2026.
Humberto Bustince has an h-index of 90 and 31,003 total citations across 866 publications, with research cited by institutions in 11 countries.
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A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
20113,692
Top Citing Countries
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.
The researcher established the theoretical equivalence between vague sets and intuitionistic fuzzy sets, providing a foundational clarification in fuzzy logic theory.
The researcher provided a seminal synthesis of ensemble methods for class imbalance, establishing a foundational framework for bagging, boosting, and hybrid approaches in machine learning.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Humberto Bustince's research
Humberto Bustince is a researcher in Artificial Intelligence, Fuzzy Logic and Image Processing at Universidad Publica de Navarra. Their work has been cited 31,003 times across 866 publications (h-index 90), according to Google Scholar.
Their most-cited work, “A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches” (2011), has accumulated 3,692 citations. Other influential work includes “Vague sets are intuitionistic fuzzy sets” (1996) with 1,486 citations.
Citations of Humberto Bustince'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.
