Alex Smola Google Scholar: h-index, Total Citations, and Citation Map
Alex Smola's h-index is 145 (379 i10-index, 222,582+ total citations across 672+ publications) according to Google Scholar as of October 2026. Alex Smola is affiliated with Boson AI.
Alex Smola is a researcher affiliated with Boson AI, specializing in AI & Machine Learning. Their work has been cited 222,582 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Alex Smola's Citation Metrics
Bibliometric impact based on 672 indexed publications.
- H-Index
- 145
- i10-Index
- 379
- Total Citations
- 222,582
- Citing Countries
- 10
As of October 2026.
Alex Smola has an h-index of 145 and 222,582 total citations across 672 publications, with research cited by institutions in 10 countries.
Global Impact Map
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Learning with kernels: Support vector machines, regularization, optimization, and beyond
200227,159
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Alex Smola's research
Alex Smola is a researcher in AI & Machine Learning at Boson AI. Their work has been cited 222,582 times across 672 publications (h-index 145), according to Google Scholar.
Their most-cited work, “Learning with kernels: Support vector machines, regularization, optimization, and beyond” (2002), has accumulated 27,159 citations. Other influential works include “Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond” (2002) with 26,634 citations and “A tutorial on support vector regression” (2004) with 19,019 citations.
Citations of Alex Smola's research come primarily from United States, Germany and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
