Pascal Poupart
Impact in
- Artificial Intelligence top 0.5%
- Reinforcement Learning in Robotics
- Topic Modeling
- Bayesian Modeling and Causal Inference
- Machine Learning and Algorithms
- Advanced Graph Neural Networks
- Speech and dialogue systems
Papers in
-
- Reinforcement Learning in Robotics 36
- Bayesian Modeling and Causal Inference 26
- Topic Modeling 23
- Machine Learning and Algorithms 17
- Natural Language Processing Techniques 14
- Speech and dialogue systems 9
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- Advanced Bandit Algorithms Research 9
- Co-authors
- Craig E. Boutilier (15 shared papers)Jesse Hoey (15 shared papers)Nikos Vlassis (4 shared papers)Alex Mihailidis (7 shared papers)Kevin Regan (3 shared papers)Seyed Mehran Kazemi (2 shared papers)Rishab Goel (2 shared papers)Marcus A. Brubaker (2 shared papers)
- Journals
- International Journal of Approximate Reasoning (2 papers)Gerontology (1 paper)Artificial Intelligence (1 paper)Computer Vision and Image Understanding (1 paper)Journal of Machine Learning Research (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Pascal Poupart
123 papers receiving 3.2k citations
Pascal Poupart's Hit Papers
Peers
Comparison fields: 5 of 124
- Artificial Intelligence 2.3k
- Management Science and Operations Research 460
- Computer Vision and Pattern Recognition 639
- Computational Theory and Mathematics 416
- Computer Networks and Communications 537
Countries citing papers authored by Pascal Poupart
This map shows the geographic impact of Pascal Poupart's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pascal Poupart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Poupart more than expected).
Fields of papers citing papers by Pascal Poupart
This network shows the impact of papers produced by Pascal Poupart. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pascal Poupart. The network helps show where Pascal Poupart may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascal Poupart, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Diachronic Embedding for Temporal Knowledge Graph Completion Hit paper breakdown → | 2020 | 257 |
| 2 | 2006 | 180 | |
| 3 | 2010 | 174 | |
| 4 | 2006 | 164 | |
| 5 | Exploiting structure to efficiently solve large scale partially observable markov decision processes | 2005 | 146 |
| 6 | 2006 | 141 | |
| 7 | A decision-theoretic approach to task assistance for persons with dementia | 2005 | 129 |
| 8 | Bounded Finite State Controllers | 2003 | 127 |
| 9 | 2006 | 114 | |
| 10 | 2018 | 108 | |
| 11 | 2016 | 103 | |
| 12 | 2013 | 92 | |
| 13 | Bayesian reputation modeling in E-marketplaces sensitive to subjecthity, deception and change | 2006 | 86 |
| 14 | Factored partially observable Markov decision processes for dialogue management | 2005 | 86 |
| 15 | 2016 | 83 | |
| 16 | 2018 | 72 | |
| 17 | Solving POMDPs with continuous or large discrete observation spaces | 2005 | 72 |
| 18 | Value-Directed Compression of POMDPs | 2002 | 67 |
| 19 | 2009 | 53 | |
| 20 | 2008 | 51 |
About Pascal Poupart
Pascal Poupart is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 129 papers that have together received 3.4k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (36 papers), Bayesian Modeling and Causal Inference (26 papers), Topic Modeling (23 papers), Formal Methods in Verification (17 papers), Machine Learning and Algorithms (17 papers), Natural Language Processing Techniques (14 papers), Speech and dialogue systems (9 papers) and Advanced Bandit Algorithms Research (9 papers). The work is most often cited by research in Artificial Intelligence (2.3k citations), Management Science and Operations Research (460 citations), Computer Vision and Pattern Recognition (639 citations), Computational Theory and Mathematics (416 citations) and Computer Networks and Communications (537 citations). Pascal Poupart has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Craig E. Boutilier, Jesse Hoey, Nikos Vlassis, Alex Mihailidis, Kevin Regan, Seyed Mehran Kazemi, Rishab Goel, Marcus A. Brubaker, Dale Schuurmans and Relu Patrascu. Their work appears in journals such as International Journal of Approximate Reasoning, Gerontology, Artificial Intelligence, Computer Vision and Image Understanding and Journal of Machine Learning Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.