Rama Chellappa: h-index, Total Citations, and Citation Map
Rama Chellappa's h-index is 1 (1 i10-index, 110,770+ total citations across 1+ publications) according to Google Scholar as of June 2026. Rama Chellappa is affiliated with Bloomberg Distinguished Professor, Johns Hopkins University.
Rama Chellappa is a researcher affiliated with Bloomberg Distinguished Professor, Johns Hopkins University, specializing in AI & Machine Learning. Their work has been cited 110,770 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Rama Chellappa's Citation Metrics
Bibliometric impact based on 1 indexed publication. Of these, 0 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 110,770
- Citing Countries
- 4
As of June 2026.
Rama Chellappa has an h-index of 1 and 110,770 total citations across 1 publication, with research cited by institutions in 4 countries.
Global Impact Map
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Face recognition: A literature survey
20039,988
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.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Rama Chellappa's research
Rama Chellappa is a researcher in AI & Machine Learning at Bloomberg Distinguished Professor, Johns Hopkins University. Their work has been cited 110,770 times across 1 publications, according to Google Scholar.
Their most-cited work, “Face recognition: A literature survey” (2003), has accumulated 9,988 citations.
Citations of Rama Chellappa's research come primarily from China, United States and Hong Kong, reflecting international research impact across 4+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











