Pieter Abbeel: h-index, Total Citations, and Citation Map
Pieter Abbeel's h-index is 20 (20 i10-index, 272,658+ total citations across 1+ publications) according to Google Scholar as of August 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 272,658 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Pieter Abbeel's Citation Metrics
Bibliometric impact based on 1 indexed publication. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 272,658
- Citing Countries
- 43
As of August 2026.
Pieter Abbeel has an h-index of 20 and 272,658 total citations across 1 publication, with research cited by institutions in 43 countries.
Global Impact Map
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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)
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About Pieter Abbeel's research
Pieter Abbeel is a researcher in AI & Machine Learning at UC Berkeley | Amazon FAR. Their work has been cited 272,658 times across 1 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Denoising diffusion probabilistic models” (2020), has accumulated 38,060 citations. Other influential works include “Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks” (2017) with 5,758 citations and “Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor” (2018) with 3,481 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.
