Laëtitia Matignon

1.4k total citations
17 papers, 462 citations indexed

About

Laëtitia Matignon is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Laëtitia Matignon has authored 17 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Laëtitia Matignon's work include Reinforcement Learning in Robotics (8 papers), Distributed Control Multi-Agent Systems (4 papers) and Robotics and Sensor-Based Localization (4 papers). Laëtitia Matignon is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Distributed Control Multi-Agent Systems (4 papers) and Robotics and Sensor-Based Localization (4 papers). Laëtitia Matignon collaborates with scholars based in France, South Korea and Sweden. Laëtitia Matignon's co-authors include Nadine Le Fort-Piat, Guillaume J. Laurent, Olivier Simonin, Abdel‐Illah Mouaddib, Jilles Dibangoye, Laurent Jeanpierre, Salima Hassas, Julien Bourgeois, Y.A. Chapuis and Christian Wolf and has published in prestigious journals such as IEEE Transactions on Intelligent Transportation Systems, Journal of Intelligent & Robotic Systems and Entropy.

In The Last Decade

Laëtitia Matignon

17 papers receiving 438 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Laëtitia Matignon France	10	221	111	83	60	59	17	462
Bilal Kartal United States	9	291 1.3×	123 1.1×	117 1.4×	63 1.1×	43 0.7×	15	542
Daniel J. Mankowitz Israel	8	301 1.4×	68 0.6×	127 1.5×	78 1.3×	44 0.7×	19	540
Shayegan Omidshafiei United States	10	229 1.0×	91 0.8×	86 1.0×	26 0.4×	59 1.0×	31	403
Nicolas Sonnerat United Kingdom	4	411 1.9×	109 1.0×	73 0.9×	51 0.8×	84 1.4×	5	600
Bikramjit Banerjee United States	11	370 1.7×	96 0.9×	68 0.8×	43 0.7×	84 1.4×	44	500
Nir Levine Israel	6	156 0.7×	51 0.5×	99 1.2×	62 1.0×	28 0.5×	7	367
Yali Du United Kingdom	12	275 1.2×	61 0.5×	93 1.1×	44 0.7×	33 0.6×	35	516
Xuyan Tu China	11	206 0.9×	85 0.8×	60 0.7×	48 0.8×	68 1.2×	107	439
Haoran Tang China	6	270 1.2×	28 0.3×	60 0.7×	40 0.7×	47 0.8×	21	380
Tim Brys Belgium	11	300 1.4×	34 0.3×	127 1.5×	27 0.5×	99 1.7×	28	409

Countries citing papers authored by Laëtitia Matignon

Since Specialization

Citations

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

Fields of papers citing papers by Laëtitia Matignon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laëtitia Matignon

This figure shows the co-authorship network connecting the top 25 collaborators of Laëtitia Matignon. A scholar is included among the top collaborators of Laëtitia Matignon 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 Laëtitia Matignon. Laëtitia Matignon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Matignon, Laëtitia, et al.. (2024). AutoNeRF: Training Implicit Scene Representations with Autonomous Agents. 13442–13449. 1 indexed citations

Matignon, Laëtitia, et al.. (2024). Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning. 17847–17856. 2 indexed citations

Matignon, Laëtitia, et al.. (2023). An Information-Theoretic Perspective on Intrinsic Motivation in Reinforcement Learning: A Survey. Entropy. 25(2). 327–327. 19 indexed citations

Matignon, Laëtitia, et al.. (2023). DisTop: Discovering a Topological Representation to Learn Diverse and Rewarding Skills. IEEE Transactions on Cognitive and Developmental Systems. 15(4). 1905–1915. 1 indexed citations

Matignon, Laëtitia, et al.. (2023). Multi-Object Navigation with dynamically learned neural implicit representations. 10970–10981. 9 indexed citations

Matignon, Laëtitia, et al.. (2022). Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1725–1732. 11 indexed citations

Matignon, Laëtitia, Laurent Jeanpierre, & Abdel‐Illah Mouaddib. (2021). Coordinated Multi-Robot Exploration Under Communication Constraints Using Decentralized Markov Decision Processes. Proceedings of the AAAI Conference on Artificial Intelligence. 26(1). 2017–2023. 24 indexed citations

Dibangoye, Jilles, et al.. (2020). Solving Multi-Agent Routing Problems Using Deep Attention Mechanisms. IEEE Transactions on Intelligent Transportation Systems. 22(12). 7804–7813. 38 indexed citations

Matignon, Laëtitia, Laurent Jeanpierre, & Abdel‐Illah Mouaddib. (2015). DECENTRALIZED MULTI-ROBOT PLANNING TO EXPLORE AND PERCEIVE. Acta Polytechnica. 55(3). 169–176. 1 indexed citations

10.

Matignon, Laëtitia, et al.. (2015). Modeling Biological Agents Beyond the Reinforcement-learning Paradigm. Procedia Computer Science. 71. 17–22. 5 indexed citations

11.

Matignon, Laëtitia, Guillaume J. Laurent, & Nadine Le Fort-Piat. (2012). Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems. The Knowledge Engineering Review. 27(1). 1–31. 233 indexed citations

12.

Laurent, Guillaume J., Laëtitia Matignon, & Nadine Le Fort-Piat. (2011). The world of independent learners is not markovian. International Journal of Knowledge-based and Intelligent Engineering Systems. 15(1). 55–64. 64 indexed citations

13.

Matignon, Laëtitia, et al.. (2010). A Model for Verbal and Non-Verbal Human-Robot Collaboration. National Conference on Artificial Intelligence. 3 indexed citations

14.

Matignon, Laëtitia, Guillaume J. Laurent, Nadine Le Fort-Piat, & Y.A. Chapuis. (2010). Designing Decentralized Controllers for Distributed-Air-Jet MEMS-Based Micromanipulators by Reinforcement Learning. Journal of Intelligent & Robotic Systems. 59(2). 145–166. 13 indexed citations

15.

Laurent, Guillaume J., et al.. (2010). Distributed control architecture for smart surfaces. 2018–2024. 26 indexed citations

16.

Matignon, Laëtitia, Guillaume J. Laurent, & Nadine Le Fort-Piat. (2009). Design of semi-decentralized control laws for distributed-air-jet micromanipulators by reinforcement learning. 3 indexed citations

17.

Matignon, Laëtitia, Guillaume J. Laurent, & Nadine Le Fort-Piat. (2006). Improving Reinforcement Learning Speed for Robot Control. HAL (Le Centre pour la Communication Scientifique Directe). 19. 3172–3177. 9 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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