FIND PROFESSORS AND RESEARCH OPPORTUNITIES

YourScholar.ai helps discover professors by research area, explore academic profiles, and find potential collaboration opportunities for Master's, PhD, and scholarship applications.

7859_prof_pascal_poupart.png

Pascal Poupart

Natural Language Processing (NLP) Reinforcement Learning Bayesian Federated Learning Probabilistic Deep Learning Adaptive Satisfiability

Research Performance Summary

254
Total Papers
11918
Total Citations
54
H-Index
2000-2026
Active Research Span

First Recorded Paper

Approximate value-directed belief state monitoring for partially observable Markov decision processes

Year: 2000

Citations: 9

Venue: University of British Columbia

Latest Recorded Paper

Talk, Judge, Cooperate: Gossip-Driven Indirect Reciprocity in Self-Interested LLM Agents

Year: 2026

Citations: 0

Venue: arXiv preprint arXiv:2602.07777

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2026
1
2025
22
2024
18
2023
9
2022
18
2021
11
2020
21
2019
10
2018
13
2017
10
2016
18

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 83
Journal 15
Book 6

Top Coauthors

Poupart Liu

Research Impact by Period

2025-2026

Period Stats
Papers 23
Citations 25
Avg. Citations / Paper 1.1
H-Index 3

2020-2024

Period Stats
Papers 77
Citations 2477
Avg. Citations / Paper 32.2
H-Index 19

2015-2019

Period Stats
Papers 58
Citations 3675
Avg. Citations / Paper 63.4
H-Index 27

2010-2014

Period Stats
Papers 51
Citations 1565
Avg. Citations / Paper 30.7
H-Index 19

2005-2009

Period Stats
Papers 35
Citations 3401
Avg. Citations / Paper 97.2
H-Index 20

2000-2004

Period Stats
Papers 10
Citations 775
Avg. Citations / Paper 77.5
H-Index 9

Contact and Professional Links

Contact Information

ppoupart@uwaterloo.ca

Professional Links

Google Scholar
University Page

Detected Research Keywords

Markov Decision Processes Partially Observable Markov Observable Markov Decision Sum Product Networks Bayesian Reinforcement Learning Markov Decision Process Bayesian Moment Matching Inverse Constrained Reinforcement Constrained Reinforcement Learning Handwashing Partially Observable