Joelle Pineau: h-index, Total Citations, and Citation Map
Joelle Pineau's h-index is 84 (232 i10-index, 43,581+ total citations across 409+ publications) according to Google Scholar as of July 2026. Joelle Pineau is affiliated with School of Computer Science, McGill University; FAIR, Meta AI; Mila.
Joelle Pineau is a researcher affiliated with School of Computer Science, McGill University; FAIR, Meta AI; Mila, specializing in Artificial intelligence, Machine learning, Robotics. Their work has been cited 43,581 times. This profile visualizes their global influence, spanning a global audience.
Joelle Pineau's Citation Metrics
Bibliometric impact based on 409 indexed publications. Of these, 17 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 84
- i10-Index
- 232
- Total Citations
- 43,581
- Citing Countries
- 0
As of July 2026.
Joelle Pineau has an h-index of 84 and 43,581 total citations across 409 publications, with research cited by institutions in 0 countries.
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Deep reinforcement learning that matters
20183,465
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Citation Trend (Last 10 Years)
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About Joelle Pineau's research
Joelle Pineau is a researcher in Artificial intelligence, Machine learning and Robotics at School of Computer Science, McGill University; FAIR, Meta AI; Mila. Their work has been cited 43,581 times across 409 publications (h-index 84), according to Google Scholar.
Their most-cited work, “Deep reinforcement learning that matters” (2018), has accumulated 3,465 citations. Other influential works include “An introduction to deep reinforcement learning” (2018) with 2,530 citations and “Building end-to-end dialogue systems using generative hierarchical neural network models” (2016) with 2,278 citations.
