Pieter Abbeel Google Scholar: h-index, Total Citations, and Citation Map
Pieter Abbeel's h-index is 134 (450 i10-index, 292,494+ total citations across 792+ publications) according to Google Scholar as of November 2026. Pieter Abbeel is affiliated with UC Berkeley | Amazon FAR.
Pieter Abbeel is a researcher affiliated with UC Berkeley | Amazon FAR, specializing in AI & Machine Learning. Their work has been cited 292,494 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Pieter Abbeel's Citation Metrics
Bibliometric impact based on 792 indexed publications.
- H-Index
- 134
- i10-Index
- 450
- Total Citations
- 292,494
- Citing Countries
- 94
As of November 2026.
Pieter Abbeel has an h-index of 134 and 292,494 total citations across 792 publications, with research cited by institutions in 94 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.
Denoising diffusion probabilistic models
202038,060
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 Pieter Abbeel's research
Pieter Abbeel is a researcher in AI & Machine Learning at UC Berkeley | Amazon FAR. Their work has been cited 292,494 times across 792 publications (h-index 134), according to Google Scholar.
Their most-cited work, “Denoising diffusion probabilistic models” (2020), has accumulated 38,060 citations. Other influential works include “Multi-agent actor-critic for mixed cooperative-competitive environments” (2017) with 9,615 citations and “Infogan: Interpretable representation learning by information maximizing generative adversarial nets” (2016) with 6,616 citations.
Citations of Pieter Abbeel'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.
