Robert M. Haralick: h-index, Total Citations, and Citation Map
Robert M. Haralick's h-index is 33 (60 i10-index, 89,669+ total citations across 143+ publications) according to Google Scholar as of September 2026. Robert M. Haralick is affiliated with Distinguished Professor of Computer Science, Graduate Center, City University of New York.
Robert M. Haralick is a researcher affiliated with Distinguished Professor of Computer Science, Graduate Center, City University of New York, specializing in AI & Machine Learning. Their work has been cited 89,669 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Robert M. Haralick's Citation Metrics
Bibliometric impact based on 143 indexed publications.
- H-Index
- 33
- i10-Index
- 60
- Total Citations
- 89,669
- Citing Countries
- 42
As of September 2026.
Robert M. Haralick has an h-index of 33 and 89,669 total citations across 143 publications, with research cited by institutions in 42 countries.
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Textural Features for Image Classification
200732,897
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Robert M. Haralick's research
Robert M. Haralick is a researcher in AI & Machine Learning at Distinguished Professor of Computer Science, Graduate Center, City University of New York. Their work has been cited 89,669 times across 143 publications (h-index 33), according to Google Scholar.
Their most-cited work, “Textural Features for Image Classification” (2007), has accumulated 32,897 citations. Other influential works include “Textural Features for Image Classification” (2007) with 32,897 citations and “Increasing tree search efficiency for constraint satisfaction problems” (1980) with 1,110 citations.
Citations of Robert M. Haralick's research come primarily from China, United States and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.











