Manuela M. Veloso Google Scholar: h-index, Total Citations, and Citation Map
Manuela M. Veloso's h-index is 100 (556 i10-index, 55,272+ total citations across 1,000+ publications) according to Google Scholar as of September 2026. Manuela M. Veloso is affiliated with Herbert A. Simon University Professor of Computer Science, Carnegie Mellon University.
Manuela M. Veloso is a researcher affiliated with Herbert A. Simon University Professor of Computer Science, Carnegie Mellon University, specializing in Artificial Intelligence, Robotics, Planning. Their work has been cited 55,272 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Manuela M. Veloso's Citation Metrics
Bibliometric impact based on 1,000 indexed publications. Of these, 18 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 100
- i10-Index
- 556
- Total Citations
- 55,272
- Citing Countries
- 70
As of September 2026.
Manuela M. Veloso has an h-index of 100 and 55,272 total citations across 1000 publications, with research cited by institutions in 70 countries.
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A survey of robot learning from demonstration
20095,182
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
1349 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established a foundational planning domain definition language that standardized automated planning, a framework subsequently applied to diverse domains including adversarial finance and robotics.
The researcher established a foundational framework for robot learning from demonstration, subsequently extending this paradigm into explainable reinforcement learning and cross-embodiment skill discovery.
The researcher established a foundational machine learning framework for multiagent systems, extending it to stochastic game theory and modern generative AI applications.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Manuela M. Veloso's research
Manuela M. Veloso is a researcher in Artificial Intelligence, Robotics and Planning at Herbert A. Simon University Professor of Computer Science, Carnegie Mellon University. Their work has been cited 55,272 times across 1,000 publications (h-index 100), according to Google Scholar.
Their most-cited work, “A survey of robot learning from demonstration” (2009), has accumulated 5,182 citations. Other influential works include “PDDL-the planning domain definition language” (1998) with 2,953 citations and “Multiagent systems: A survey from a machine learning perspective” (2000) with 2,417 citations.
Citations of Manuela M. Veloso's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
