Silvio Savarese Google Scholar: h-index, Total Citations, and Citation Map
Silvio Savarese's h-index is 132 (342 i10-index, 115,030+ total citations across 562+ publications) according to Google Scholar as of October 2026.
Silvio Savarese is a researcher affiliated with their institution, specializing in Computer vision. Their work has been cited 115,030 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Silvio Savarese's Citation Metrics
Bibliometric impact based on 562 indexed publications.
- H-Index
- 132
- i10-Index
- 342
- Total Citations
- 115,030
- Citing Countries
- 73
As of October 2026.
Silvio Savarese has an h-index of 132 and 115,030 total citations across 562 publications, with research cited by institutions in 73 countries.
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Global Impact Map
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Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
202311,962
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.
30 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Silvio Savarese's research
Silvio Savarese is a researcher working on Computer vision. Their work has been cited 115,030 times across 562 publications (h-index 132), according to Google Scholar.
Their most-cited work, “Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models” (2023), has accumulated 11,962 citations. Other influential works include “Generalized intersection over union: A metric and a loss for bounding box regression” (2019) with 8,854 citations and “Shapenet: An information-rich 3d model repository” (2015) with 8,005 citations.
Citations of Silvio Savarese's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
