Ishan Misra Google Scholar: h-index, Total Citations, and Citation Map
Ishan Misra's h-index is 55 (72 i10-index, 82,662+ total citations across 84+ publications) according to Google Scholar as of October 2026. Ishan Misra is affiliated with GenAI, Meta.
Ishan Misra is a researcher affiliated with GenAI, Meta, specializing in Computer Vision, Machine Learning. Their work has been cited 82,662 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ishan Misra's Citation Metrics
Bibliometric impact based on 84 indexed publications.
- H-Index
- 55
- i10-Index
- 72
- Total Citations
- 82,662
- Citing Countries
- 67
As of October 2026.
Ishan Misra has an h-index of 55 and 82,662 total citations across 84 publications, with research cited by institutions in 67 countries.
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Global Impact Map
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The llama 3 herd of models
202419,527
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.
14 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered cross-stitch networks for multi-task learning, establishing a foundational framework that evolved into unified embedding spaces for binding diverse visual and multimodal data.
The researcher pioneered non-parametric methods for semi-supervised visual feature learning, establishing a foundational framework that evolved into highly influential self-supervised architectures.
The researcher identified and characterized emerging properties in self-supervised Vision Transformers, establishing a foundational framework for understanding their behavior and capabilities.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Ishan Misra's research
Ishan Misra is a researcher in Computer Vision and Machine Learning at GenAI, Meta. Their work has been cited 82,662 times across 84 publications (h-index 55), according to Google Scholar.
Their most-cited work, “The llama 3 herd of models” (2024), has accumulated 19,527 citations. Other influential works include “Emerging Properties in Self-Supervised Vision Transformers” (2021) with 12,324 citations and “DINOv2: Learning Robust Visual Features without Supervision” (2023) with 10,519 citations.
Citations of Ishan Misra'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.
