Marton Havasi: h-index, Total Citations, and Citation Map
Marton Havasi's h-index is 14 (22 i10-index, 1,563+ total citations across 5+ publications) according to Google Scholar as of May 2026. Marton Havasi is affiliated with Meta - FAIR.
Marton Havasi is a researcher affiliated with Meta - FAIR, specializing in various fields. Their work has been cited 1,563 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Marton Havasi's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 14
- i10-Index
- 22
- Total Citations
- 1,563
- Citing Countries
- 20
As of May 2026.
Marton Havasi has an h-index of 14 and 1,563 total citations across 5 publications, with research cited by institutions in 20 countries.
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Global Impact Map
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Top Cited Works
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Training independent subnetworks for robust prediction
2020302
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 developed a method for training independent subnetworks to enhance prediction robustness, a contribution recognized by 302 citations at ICLR 2021.
The researcher established a foundational framework for flow matching by publishing a seminal guide and codebase that has garnered significant independent academic attention.
The researcher established 'Uncertainty Baselines,' a seminal benchmark suite for evaluating uncertainty and robustness in deep learning, providing a standardized framework for the community.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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