vapnik: h-index, Total Citations, and Citation Map
vapnik's h-index is 107 (302 i10-index, 351,665+ total citations across 3+ publications) according to Google Scholar as of May 2026. vapnik is affiliated with Professor of Columbia, Fellow of NEC Labs America,.
vapnik is a researcher affiliated with Professor of Columbia, Fellow of NEC Labs America,, specializing in machine learning, statistics, computer science. Their work has been cited 351,665 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
vapnik's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 107
- i10-Index
- 302
- Total Citations
- 351,665
- Citing Countries
- 11
As of May 2026.
vapnik has an h-index of 107 and 351,665 total citations across 3 publications, with research cited by institutions in 11 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing vapnik's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 351,665 citations for vapnik
We've shown the most-cited 5,000. Unlock the full crawl (351,650 more citations) to see every institution citing this scholar.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Top Cited Works
Tip: clickto hide a row from the map
The Nature of Statistical Learning Theory
1995113,525
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.
The researcher pioneered the application of backpropagation to handwritten zip code recognition, establishing a foundational benchmark for neural network performance in practical pattern recognition tasks.
The researcher established the foundational theoretical framework for statistical learning theory, providing rigorous bounds on generalization error that underpin modern machine learning.
The researcher introduced support-vector networks, a foundational machine learning framework that has achieved widespread independent adoption, evidenced by over 82,000 citations.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
