Rama Chellappa Google Scholar: h-index, Total Citations, and Citation Map
Rama Chellappa has 110,770+ total citations according to Google Scholar as of November 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 November 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
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
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 publication, 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.
