Joelle Pineau Google Scholar: h-index, Total Citations, and Citation Map
Joelle Pineau's h-index is 85 (235 i10-index, 44,833+ total citations across 412+ publications) according to Google Scholar as of October 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 44,833 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Joelle Pineau's Citation Metrics
Bibliometric impact based on 412 indexed publications. Of these, 17 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 85
- i10-Index
- 235
- Total Citations
- 44,833
- Citing Countries
- 91
As of October 2026.
Joelle Pineau has an h-index of 85 and 44,833 total citations across 412 publications, with research cited by institutions in 91 countries.
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Global Impact Map
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Deep reinforcement learning that matters
20183,670
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.
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.
517 citing papers could not be classified (no author data) — excluded from the percentages above.
Citation trend (last 10 years)Click to expand
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 44,833 times across 412 publications (h-index 85), according to Google Scholar.
Their most-cited work, “Deep reinforcement learning that matters” (2018), has accumulated 3,670 citations. Other influential works include “An introduction to deep reinforcement learning” (2018) with 2,591 citations and “Building end-to-end dialogue systems using generative hierarchical neural network models” (2016) with 2,286 citations.
Citations of Joelle Pineau'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.
