Tali Dekel: h-index, Total Citations, and Citation Map
Tali Dekel's h-index is 38 (51 i10-index, 12,258+ total citations across 1+ publications) according to Google Scholar as of May 2026. Tali Dekel is affiliated with Associate Professor, Weizmann Institute of Science; Research Scientist, Google DeepMind.
Tali Dekel is a researcher affiliated with Associate Professor, Weizmann Institute of Science; Research Scientist, Google DeepMind, specializing in Computer Vision and Deep Learning, Re-rendering, Image Synthesis. Their work has been cited 12,258 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Tali Dekel's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 38
- i10-Index
- 51
- Total Citations
- 12,258
- Citing Countries
- 2
As of May 2026.
Tali Dekel has an h-index of 38 and 12,258 total citations across 1 publication, with research cited by institutions in 2 countries.
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We've mapped 5,000 of 12,258 citations for Tali Dekel
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Global Impact Map
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Top Cited Works
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Imagic: Text-Based Real Image Editing with Diffusion Models
20231,635
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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 Imagic, a diffusion-based framework for text-guided real image editing, establishing a significant benchmark in generative computer vision as evidenced by over 1,600 citations.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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