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
- Natural Language Processing Techniques
Papers in
-
- Bayesian Modeling and Causal Inference 32
- Reinforcement Learning in Robotics 29
- Topic Modeling 22
- Machine Learning and Algorithms 19
- Natural Language Processing Techniques 13
- Speech and dialogue systems 8
- Bayesian Methods and Mixture Models 8
- Co-authors
- Craig Boutilier (15 shared papers)Jesse Hoey (11 shared papers)Nikos Vlassis (3 shared papers)Alex Mihailidis (5 shared papers)Kevin Regan (3 shared papers)Rishab Goel (2 shared papers)Seyed Mehran Kazemi (2 shared papers)Marcus A. Brubaker (1 shared paper)
- Journals
- International Journal of Approximate Reasoning (2 papers)ACM Transactions on Interactive Intelligent Systems (1 paper)Gerontology (1 paper)Computer Vision and Image Understanding (1 paper)Artificial Intelligence (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Pascal Poupart
113 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 1.7k
- Management Science and Operations Research 344
- Computer Vision and Pattern Recognition 521
- Computer Networks and Communications 391
- Computational Theory and Mathematics 259
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 119 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 202 | |
| 2 | 2006 | 160 | |
| 3 | 2010 | 144 | |
| 4 | 2006 | 138 | |
| 5 | Exploiting structure to efficiently solve large scale partially observable markov decision processes | 2005 | 131 |
| 6 | Bounded Finite State Controllers | 2003 | 114 |
| 7 | 2006 | 108 | |
| 8 | 2005 | 100 | |
| 9 | 2013 | 85 | |
| 10 | 2006 | 82 | |
| 11 | Bayesian reputation modeling in E-marketplaces sensitive to subjecthity, deception and change | 2006 | 73 |
| 12 | Factored partially observable Markov decision processes for dialogue management | 2005 | 73 |
| 13 | 2016 | 71 | |
| 14 | Solving POMDPs with continuous or large discrete observation spaces | 2005 | 67 |
| 15 | Value-Directed Compression of POMDPs | 2002 | 65 |
| 16 | 2018 | 60 | |
| 17 | 2012 | 42 | |
| 18 | 2009 | 42 | |
| 19 | VDCBPI: an Approximate Scalable Algorithm for Large POMDPs | 2004 | 42 |
| 20 | 2015 | 37 |
About Pascal Poupart
Pascal Poupart is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Networks and Communications and Management Science and Operations Research, having authored 119 papers that have together received 2.6k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (32 papers), Reinforcement Learning in Robotics (29 papers), Topic Modeling (22 papers), Machine Learning and Algorithms (19 papers), Natural Language Processing Techniques (13 papers), Formal Methods in Verification (12 papers), Speech and dialogue systems (8 papers) and Bayesian Methods and Mixture Models (8 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Management Science and Operations Research (344 citations), Computer Vision and Pattern Recognition (521 citations), Computer Networks and Communications (391 citations) and Computational Theory and Mathematics (259 citations). Pascal Poupart has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Craig Boutilier, Jesse Hoey, Nikos Vlassis, Alex Mihailidis, Kevin Regan, Rishab Goel, Seyed Mehran Kazemi, Marcus A. Brubaker, Josep M. Porta and Matthijs T. J. Spaan. Their work appears in journals such as International Journal of Approximate Reasoning, ACM Transactions on Interactive Intelligent Systems, Gerontology, Computer Vision and Image Understanding and Artificial Intelligence.
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.