Nicolas Meuleau

2.1k total citations
24 papers, 849 citations indexed

About

Nicolas Meuleau is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nicolas Meuleau has authored 24 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 9 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nicolas Meuleau's work include Reinforcement Learning in Robotics (12 papers), AI-based Problem Solving and Planning (7 papers) and Optimization and Search Problems (5 papers). Nicolas Meuleau is often cited by papers focused on Reinforcement Learning in Robotics (12 papers), AI-based Problem Solving and Planning (7 papers) and Optimization and Search Problems (5 papers). Nicolas Meuleau collaborates with scholars based in United States, Belgium and Israel. Nicolas Meuleau's co-authors include Marco Dorigo, Leslie Pack Kaelbling, Leonid Peshkin, Kee-Eung Kim, Mauro Birattari, Thomas Dean, Miloš Hauskrecht, Craig Boutilier, David E. Smith and Richard Dearden and has published in prestigious journals such as Machine Learning, Annals of Operations Research and Current Medical Research and Opinion.

In The Last Decade

Nicolas Meuleau

24 papers receiving 750 citations

Peers

Nicolas Meuleau

CNC

CTM

MSOR

CVPR

Frans A. Oliehoek Netherlands

Xianshun Chen Singapore

John Bresina United States

Guy Lever United Kingdom

Meng Hiot Lim Singapore

Á. E. Eiben Netherlands

Yifei Wang China

Stuart H. Rubin United States

Paul Morris United States

Olivier Buffet France

Frans A. Oliehoek Netherlands

Nicolas Meuleau

755 ×1.2

286 ×1.8

CNC

147 ×0.9

CTM

207 ×1.4

MSOR

137 ×1.5

CVPR

Citations per year, relative to Nicolas Meuleau Nicolas Meuleau (= 1×) peers Frans A. Oliehoek

Countries citing papers authored by Nicolas Meuleau

Since Specialization

Citations

This map shows the geographic impact of Nicolas Meuleau'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 Nicolas Meuleau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Meuleau more than expected).

Fields of papers citing papers by Nicolas Meuleau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Meuleau. 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 Nicolas Meuleau. The network helps show where Nicolas Meuleau may publish in the future.

Co-authorship network of co-authors of Nicolas Meuleau

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Meuleau. A scholar is included among the top collaborators of Nicolas Meuleau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicolas Meuleau. Nicolas Meuleau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hauskrecht, Miloš, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, & Craig Boutilier. (2013). Hierarchical Solution of Markov Decision Processes using Macro-actions. arXiv (Cornell University). 220–229. 52 indexed citations

Meuleau, Nicolas, Kee-Eung Kim, Leslie Pack Kaelbling, & Anthony R. Cassandra. (2013). Solving POMDPs by Searching the Space of Finite Policies. arXiv (Cornell University). 417–426. 43 indexed citations

Meuleau, Nicolas & David E. Smith. (2012). Optimal Limited Contingency Planning. arXiv (Cornell University). 417–426. 6 indexed citations

Bresina, John, Richard Dearden, Nicolas Meuleau, et al.. (2012). Planning under Continuous Time and Resource Uncertainty: A Challenge for AI. arXiv (Cornell University). 77–84. 21 indexed citations

Meuleau, Nicolas, et al.. (2009). An Emergency Landing Planner for Damaged Aircraft. Innovative Applications of Artificial Intelligence. 26 indexed citations

Meuleau, Nicolas, et al.. (2009). A Comparison of Risk Sensitive Path Planning Methods for Aircraft Emergency Landing. NASA STI Repository (National Aeronautics and Space Administration). 5 indexed citations

Meuleau, Nicolas, Christian Plaunt, & David E. Smith. (2008). Emergency Landing Planning for Damaged Aircraft. 11 indexed citations

Meuleau, Nicolas & Ronen I. Brafman. (2007). Hierarchical heuristic forward search in Stochastic domains. International Joint Conference on Artificial Intelligence. 17. 2542–2549. 4 indexed citations

Meuleau, Nicolas, et al.. (2006). Stochastic over-subscription planning using hierarchies of MDPs. International Conference on Automated Planning and Scheduling. 121–130. 7 indexed citations

10.

Brafman, Ronen I., et al.. (2005). Planning with continuous resources in stochastic domains. International Joint Conference on Artificial Intelligence. 1244–1251. 27 indexed citations

11.

Feng, Zhengzhu, Richard Dearden, Nicolas Meuleau, & Richard Washington. (2004). Dynamic programming for structured continuous Markov decision problems. Uncertainty in Artificial Intelligence. 154–161. 49 indexed citations

12.

Meuleau, Nicolas, Richard Dearden, & Rich Washington. (2004). Scaling Up Decision Theoretic Planning to Planetary Rover Problems. National Conference on Artificial Intelligence. 5 indexed citations

13.

Birattari, Mauro, et al.. (2004). Model-Based Search for Combinatorial Optimization: A Critical Survey. Annals of Operations Research. 131(1-4). 373–395. 165 indexed citations

14.

Dearden, Richard, Nicolas Meuleau, Sailesh Ramakrishnan, David E. Smith, & Rich Washington. (2003). Incremental Contingency Planning. International Conference on Automated Planning and Scheduling. 41 indexed citations

15.

Meuleau, Nicolas & Marco Dorigo. (2002). Ant Colony Optimization and Stochastic Gradient Descent. Artificial Life. 8(2). 103–121. 58 indexed citations

16.

Peshkin, Leonid, Nicolas Meuleau, & Leslie Pack Kaelbling. (2001). Learning Policies with External Memory. ArXiv.org. 307–314. 48 indexed citations

17.

Meuleau, Nicolas, Leonid Peshkin, Leslie Pack Kaelbling, & Kee-Eung Kim. (2000). Off-Policy Policy Search. 5 indexed citations

18.

Kim, Kee-Eung, Thomas Dean, & Nicolas Meuleau. (2000). Approximate solutions to factored Markov decision processes via greedy search in the space of finite state controllers. Current Medical Research and Opinion. 39(7). 323–330. 6 indexed citations

19.

Meuleau, Nicolas & Paul Bourgine. (1999). Exploration of Multi-State Environments: Local Measures and Back-Propagation of Uncertainty. Machine Learning. 35(2). 117–154. 52 indexed citations

20.

Meuleau, Nicolas, Miloš Hauskrecht, Kee-Eung Kim, et al.. (1998). Solving very large weakly coupled Markov decision processes. National Conference on Artificial Intelligence. 165–172. 126 indexed citations

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.

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