Takeo Kanade: h-index, Total Citations, and Citation Map
Takeo Kanade's h-index is 1 (1 i10-index, 146,244+ total citations across 1+ publications) according to Google Scholar as of June 2026. Takeo Kanade is affiliated with Carnegie Mellon University.
Takeo Kanade is a researcher affiliated with Carnegie Mellon University, specializing in AI & Machine Learning. Their work has been cited 146,244 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Takeo Kanade's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 146,244
- Citing Countries
- 2
As of June 2026.
Takeo Kanade has an h-index of 1 and 146,244 total citations across 1 publication, with research cited by institutions in 2 countries.
Global Impact Map
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An iterative image registration technique with an application to stereo vision
198121,094
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 Takeo Kanade's research
Takeo Kanade is a researcher in AI & Machine Learning at Carnegie Mellon University. Their work has been cited 146,244 times across 1 publications, according to Google Scholar.
Their most-cited work, “An iterative image registration technique with an application to stereo vision” (1981), has accumulated 21,094 citations.
Citations of Takeo Kanade's research come primarily from United States and United Kingdom, reflecting international research impact. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
