Veronica Bolon-Canedo: h-index, Total Citations, and Citation Map
Veronica Bolon-Canedo's h-index is 42 (86 i10-index, 10,644+ total citations across 211+ publications) according to Google Scholar as of June 2026. Veronica Bolon-Canedo is affiliated with Associate Professor, Universidade da Coruña, CITIC.
Veronica Bolon-Canedo is a researcher affiliated with Associate Professor, Universidade da Coruña, CITIC, specializing in Feature Selection, Artificial Intelligence, Machine Learning. Their work has been cited 10,644 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Veronica Bolon-Canedo's Citation Metrics
Bibliometric impact based on 211 indexed publications. Of these, 1 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 42
- i10-Index
- 86
- Total Citations
- 10,644
- Citing Countries
- 60
As of June 2026.
Veronica Bolon-Canedo has an h-index of 42 and 10,644 total citations across 211 publications, with research cited by institutions in 60 countries.
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We've mapped 5,000 of 10,644 citations for Veronica Bolon-Canedo
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Global Impact Map
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A review of feature selection methods on synthetic data
20131,198
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.
7 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 Veronica Bolon-Canedo's research
Veronica Bolon-Canedo is a researcher in Feature Selection, Artificial Intelligence and Machine Learning at Associate Professor, Universidade da Coruña, CITIC. Their work has been cited 10,644 times across 211 publications (h-index 42), according to Google Scholar.
Their most-cited work, “A review of feature selection methods on synthetic data” (2013), has accumulated 1,198 citations. Other influential works include “A review of feature selection methods in medical applications” (2019) with 996 citations and “A review of microarray datasets and applied feature selection methods” (2014) with 851 citations.
Citations of Veronica Bolon-Canedo's research come primarily from China, United States 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.
