Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
2002 • 26634 Citations
Published in The MIT Press (Book)
Alex Smola
Alex Smola is a researcher affiliated with Boson AI, specializing in AI & Machine Learning. Their work has been cited 215,743 times. This profile visualizes their global influence, highlighting strong citation networks in CN.
AI & Machine Learning
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Alex Smola's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 215,743
- Citing Countries
- 4
As of April 2026.
Alex Smola has an h-index of 1 and 215,743 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
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Top Citing Countries(Limited)
China(CN)
8United States(US)
2France(FR)
1Germany(DE)
1Top Citing Institutions(Limited)
Southeast University
4The Chinese University of Hong Kong, Shenzhen
4University of Washington
2EURECOM
1Max Planck Institute for Intelligent Systems
1Google Research
1Visa 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.
Citer Influence Network
Visa-ready visualisation: each outer ring node is a country citing this scholar. Node size & edge weight scale with citing-paper count. Showing top 5 of 5 countries (13 total citations).
Letter of Support — Candidate Recommenders
Ranked by EB-1A / O-1A relevance: independence from your home institution, affiliation with a top-ranked institution, repeat citations of your work, and recency. Reach out to the highest-scoring candidates to request support letters.
- #1
Rui Zhang
7.0The Chinese University of Hong Kong, Shenzhen
China· Cited your work 1 time
IndependentTop institution - #2
Jie Xu
7.0The Chinese University of Hong Kong, Shenzhen
China· Cited your work 1 time
IndependentTop institution - #3
J. Nathan Kutz
8.5University of Washington
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography - #4
Steven L. Brunton
8.5University of Washington
USA· Cited your work 1 time
IndependentTop institutionDiversifies geography - #5
Nal Kalchbrenner
8.5Google Research
The Netherlands· Cited your work 1 time
IndependentTop institutionDiversifies geography - #6
David Gesbert
6.5EURECOM
France· Cited your work 1 time
IndependentDiversifies geography - #7
Stefan Bauer
5.5Max Planck Institute for Intelligent Systems
Germany· Cited your work 1 time
Top institutionDiversifies geography - #8
Junting Chen
7.0The Chinese University of Hong Kong, Shenzhen
China· Cited your work 1 time
IndependentTop institution - #9
Shuguang Cui
7.0The Chinese University of Hong Kong, Shenzhen
China· Cited your work 1 time
IndependentTop institution - #10
Di Wu
5.0Southeast University
China· Cited your work 1 time
Independent
Scores combine 5 signals: independence (+3), prestige institution (+2), repeat citations (+2 per paper, cap 5), recent activity (+1), and geography diversity (+1.5). Identity matching uses name + institution; namesakes at the same org are merged.
Cited by 5 papers
4 / 5 independent
Citations flagged as non-independent share the scholar's home institution (Max Planck Institute for Biological Cybernetics). EB-1A & O-1A petitions typically quote the independent-citation count as the stronger evidence of outside recognition.
Yong Zeng, Junting Chen, Jie Xu, Di Wu + 6 more
IEEE Communications Surveys & Tutorials· cites “Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond”
· cites “Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond”
- Toward Causal Representation LearningSame institution
Bernhard Schölkopf, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke + 3 more
Proceedings of the IEEE· cites “Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond”
Steven L. Brunton, J. Nathan Kutz
Cambridge University Press· cites “Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond”
· cites “Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond”
Top Cited Works(Showing 1 of 1)
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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