neta shaul: h-index, Total Citations, and Citation Map
neta shaul's h-index is 8 (8 i10-index, 935+ total citations across 5+ publications) according to Google Scholar as of May 2026. neta shaul is affiliated with Computer Science PhD student, Weizmann Institute of Science.
neta shaul is a researcher affiliated with Computer Science PhD student, Weizmann Institute of Science, specializing in Deep Learning, Generative Models. Their work has been cited 935 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
neta shaul's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 8
- i10-Index
- 8
- Total Citations
- 935
- Citing Countries
- 5
As of May 2026.
neta shaul has an h-index of 8 and 935 total citations across 5 publications, with research cited by institutions in 5 countries.
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Global Impact Map
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Top Cited Works
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Discrete Flow Matching
2024322
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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 advanced generative modeling and decision-making through guided flows, a contribution evidenced by a seminal 2023 paper with 97 citations from entirely independent researchers.
The researcher introduced Discrete Flow Matching, a novel generative modeling framework published at NeurIPS 2024 that has achieved significant independent scholarly adoption.
The researcher provided a foundational guide and code for flow matching, establishing a widely adopted resource that has garnered significant independent scholarly attention.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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