Raymond Mooney Google Scholar: h-index, Total Citations, and Citation Map
Raymond Mooney has 50,466+ total citations according to Google Scholar as of November 2026. Raymond Mooney is affiliated with University of Texas at Austin.
Raymond Mooney is a researcher affiliated with University of Texas at Austin, specializing in AI & Machine Learning. Their work has been cited 50,466 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Raymond Mooney's Citation Metrics
Bibliometric impact based on 1 indexed publication.
- H-Index
- 1
- i10-Index
- 1
- Total Citations
- 50,466
- Citing Countries
- 5
As of November 2026.
Raymond Mooney has an h-index of 1 and 50,466 total citations across 1 publication, with research cited by institutions in 5 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.
Content-based book recommending using learning for text categorization
20002,311
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 Raymond Mooney's research
Raymond Mooney is a researcher in AI & Machine Learning at University of Texas at Austin. Their work has been cited 50,466 times across 1 publication, according to Google Scholar.
Their most-cited work, “Content-based book recommending using learning for text categorization” (2000), has accumulated 2,311 citations.
Citations of Raymond Mooney's research come primarily from United States, Australia and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
