Olga Russakovsky: h-index, Total Citations, and Citation Map
Olga Russakovsky's h-index is 43 (66 i10-index, 67,148+ total citations across 129+ publications) according to Google Scholar as of August 2026. Olga Russakovsky is affiliated with Associate Professor, Princeton University.
Olga Russakovsky is a researcher affiliated with Associate Professor, Princeton University, specializing in various fields. Their work has been cited 67,148 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Olga Russakovsky's Citation Metrics
Bibliometric impact based on 129 indexed publications.
- H-Index
- 43
- i10-Index
- 66
- Total Citations
- 67,148
- Citing Countries
- 66
As of August 2026.
Olga Russakovsky has an h-index of 43 and 67,148 total citations across 129 publications, with research cited by institutions in 66 countries.
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ImageNet Large Scale Visual Recognition Challenge
201456,146
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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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.
10 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher advanced visual recognition by establishing foundational detection frameworks and addressing critical challenges in large-scale evaluation and algorithmic fairness.
The researcher pioneered methods for filtering and balancing demographic distributions in large-scale image datasets to mitigate bias in computer vision models.
The researcher developed scalable multi-label annotation frameworks, pioneering human-machine collaboration methods that significantly advanced crowdsourcing techniques in computer vision.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Olga Russakovsky's research
Olga Russakovsky is a researcher at Associate Professor, Princeton University. Their work has been cited 67,148 times across 129 publications (h-index 43), according to Google Scholar.
Their most-cited work, “ImageNet Large Scale Visual Recognition Challenge” (2014), has accumulated 56,146 citations. Other influential works include “What's the point: Semantic segmentation with point supervision” (2016) with 1,410 citations and “Art and the science of generative AI” (2023) with 861 citations.
Citations of Olga Russakovsky's research come primarily from United States, China 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.
