Raja Chatila: h-index, Total Citations, and Citation Map
Raja Chatila's h-index is 55 (142 i10-index, 34,961+ total citations across 316+ publications) according to Google Scholar as of June 2026. Raja Chatila is affiliated with Professor of Robotics, AI and Ethics.
Raja Chatila is a researcher affiliated with Professor of Robotics, AI and Ethics, specializing in Robotics, AI, Learning. Their work has been cited 34,961 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Raja Chatila's Citation Metrics
Bibliometric impact based on 316 indexed publications.
- H-Index
- 55
- i10-Index
- 142
- Total Citations
- 34,961
- Citing Countries
- 12
As of June 2026.
Raja Chatila has an h-index of 55 and 34,961 total citations across 316 publications, with research cited by institutions in 12 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Raja Chatila's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
We've mapped 5,000 of 34,961 citations for Raja Chatila
We've shown the most-cited 5,000. Unlock the full crawl (34,911 more citations) to see every institution citing this scholar.
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.
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
202015,129
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 Raja Chatila's research
Raja Chatila is a researcher in Robotics, AI and Learning at Professor of Robotics, AI and Ethics. Their work has been cited 34,961 times across 316 publications (h-index 55), according to Google Scholar.
Their most-cited work, “Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI” (2020), has accumulated 15,129 citations. Other influential works include “AI4People - An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations” (2018) with 7,745 citations and “Position referencing and consistent world modeling for mobile robots” (1985) with 1,025 citations.
Citations of Raja Chatila's research come primarily from United States, China and France, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
