Alberto Fernández Hilario: h-index, Total Citations, and Citation Map
Alberto Fernández Hilario's h-index is 52 (107 i10-index, 27,991+ total citations across 2+ publications) according to Google Scholar as of July 2026. Alberto Fernández Hilario is affiliated with Full Professor of Computer Science and Artificial Intelligence, University of Granada.
Alberto Fernández Hilario is a researcher affiliated with Full Professor of Computer Science and Artificial Intelligence, University of Granada, specializing in Trustworthy AI, XAI, Machine Learning. Their work has been cited 27,991 times. This profile visualizes their global influence, highlighting strong citation networks in Spain.
Alberto Fernández Hilario's Citation Metrics
Bibliometric impact based on 2 indexed publications. Of these, 1 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 52
- i10-Index
- 107
- Total Citations
- 27,991
- Citing Countries
- 16
As of July 2026.
Alberto Fernández Hilario has an h-index of 52 and 27,991 total citations across 2 publications, with research cited by institutions in 16 countries.
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A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
20123,692
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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.
The researcher developed the KEEL data-mining software tool, providing a unified framework for dataset repositories, algorithm integration, and experimental analysis in soft computing.
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 Alberto Fernández Hilario's research
Alberto Fernández Hilario is a researcher in Trustworthy AI, XAI and Machine Learning at Full Professor of Computer Science and Artificial Intelligence, University of Granada. Their work has been cited 27,991 times across 2 publications (h-index 52), according to Google Scholar.
Their most-cited work, “A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches” (2012), has accumulated 3,692 citations. Other influential work includes “KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework” (2011) with 3,405 citations.
Citations of Alberto Fernández Hilario's research come primarily from Spain, China 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.
