Deva Ramanan Google Scholar: h-index, Total Citations, and Citation Map
Deva Ramanan's h-index is 106 (239 i10-index, 143,250+ total citations across 396+ publications) according to Google Scholar as of October 2026. Deva Ramanan is affiliated with Robotics Institute, Carnegie Mellon University.
Deva Ramanan is a researcher affiliated with Robotics Institute, Carnegie Mellon University, specializing in various fields. Their work has been cited 143,250 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Deva Ramanan's Citation Metrics
Bibliometric impact based on 396 indexed publications.
- H-Index
- 106
- i10-Index
- 239
- Total Citations
- 143,250
- Citing Countries
- 73
As of October 2026.
Deva Ramanan has an h-index of 106 and 143,250 total citations across 396 publications, with research cited by institutions in 73 countries.
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Microsoft coco: Common objects in context
201473,843
Top Citing Countries
Top Citing Institutions
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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.
13 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered spatio-temporal aggregation methods for action classification, establishing a foundational framework that enabled subsequent innovations in unsupervised video processing and retargeting.
The researcher pioneered pose-based person tracking methods, establishing a foundational framework that evolved into appearance-based tracking, significantly advancing computer vision.
The researcher established a foundational benchmark for object detection by introducing the Microsoft COCO dataset, which contextualizes common objects and has become a standard reference in computer vision.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Deva Ramanan's research
Deva Ramanan is a researcher at Robotics Institute, Carnegie Mellon University. Their work has been cited 143,250 times across 396 publications (h-index 106), according to Google Scholar.
Their most-cited work, “Microsoft coco: Common objects in context” (2014), has accumulated 73,843 citations. Other influential works include “Object detection with discriminatively trained part-based models” (2009) with 13,582 citations and “A discriminatively trained, multiscale, deformable part model” (2008) with 4,207 citations.
Citations of Deva Ramanan'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.
