Thomy Phan

568 total citations
27 papers, 325 citations indexed

About

Thomy Phan is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Thomy Phan has authored 27 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Computer Networks and Communications. Recurrent topics in Thomy Phan's work include Reinforcement Learning in Robotics (10 papers), Adversarial Robustness in Machine Learning (3 papers) and Quantum Computing Algorithms and Architecture (3 papers). Thomy Phan is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Adversarial Robustness in Machine Learning (3 papers) and Quantum Computing Algorithms and Architecture (3 papers). Thomy Phan collaborates with scholars based in Germany, United States and Netherlands. Thomy Phan's co-authors include Claudia Linnhoff‐Popien, Thomas Gabor, Fang Huang, Derek Toomre, Mark D. Lessard, Lena K. Schroeder, Irnov Irnov, Edward S. Allgeyer, Félix Rivera-Molina and Yongdeng Zhang and has published in prestigious journals such as Cell, Autonomous Agents and Multi-Agent Systems and International Journal on Software Tools for Technology Transfer.

In The Last Decade

Thomy Phan

24 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomy Phan Germany	6	171	90	88	65	60	27	325
Gustafsson Sweden	8	266 1.6×	90 1.0×	175 2.0×	72 1.1×	63 1.1×	19	485
Benoît Lelandais France	11	70 0.4×	39 0.4×	56 0.6×	28 0.4×	124 2.1×	19	332
Ismail M. Khater Canada	10	157 0.9×	78 0.9×	52 0.6×	50 0.8×	134 2.2×	17	394
Silvia Colabrese Italy	4	186 1.1×	89 1.0×	67 0.8×	24 0.4×	64 1.1×	5	245
Yevgeniy Kovchegov United States	6	126 0.7×	23 0.3×	22 0.3×	23 0.4×	182 3.0×	28	363
Hagai Kirshner Switzerland	9	438 2.6×	137 1.5×	197 2.2×	16 0.2×	119 2.0×	23	669
Andreas Kurz Germany	9	58 0.3×	22 0.2×	32 0.4×	29 0.4×	129 2.1×	14	455
Norbert Lindow Germany	14	81 0.5×	30 0.3×	28 0.3×	23 0.4×	251 4.2×	22	557
A. Descloux Switzerland	11	336 2.0×	91 1.0×	226 2.6×	7 0.1×	71 1.2×	17	555
Maria Aurelia Ricci Italy	5	133 0.8×	67 0.7×	35 0.4×	34 0.5×	753 12.6×	5	881

Countries citing papers authored by Thomy Phan

Since Specialization

Citations

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

Fields of papers citing papers by Thomy Phan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomy Phan

This figure shows the co-authorship network connecting the top 25 collaborators of Thomy Phan. A scholar is included among the top collaborators of Thomy Phan 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 Thomy Phan. Thomy Phan 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

Müller, Robert, et al.. (2024). ClusterComm: Discrete Communication in Decentralized MARL Using Internal Representation Clustering. 305–312. 2 indexed citations

Phan, Thomy, et al.. (2024). Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17514–17522.

Altmann, Philipp J., et al.. (2024). Challenges for Reinforcement Learning in Quantum Circuit Design. 1600–1610. 3 indexed citations

Phan, Thomy, et al.. (2024). Multi-Agent Quantum Reinforcement Learning Using Evolutionary Optimization. 71–82. 2 indexed citations

Altmann, Philipp J., et al.. (2023). CROP: Towards Distributional-Shift Robust Reinforcement Learning Using Compact Reshaped Observation Processing. 3414–3422. 2 indexed citations

Phan, Thomy, et al.. (2023). Attention-Based Recurrency for Multi-Agent Reinforcement Learning under State Uncertainty. 2839–2841.

Phan, Thomy, et al.. (2021). VAST: Value Function Factorization with Variable Agent Sub-Teams. Neural Information Processing Systems. 34. 5 indexed citations

Phan, Thomy, et al.. (2021). Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(13). 11308–11316. 12 indexed citations

Phan, Thomy, et al.. (2021). A Sustainable Ecosystem through Emergent Cooperation in Multi-Agent Reinforcement Learning. 2 indexed citations

10.

Hahn, Carsten, et al.. (2020). Foraging Swarms using Multi-Agent Reinforcement Learning. 333–340. 7 indexed citations

11.

Phan, Thomy, Thomas Gabor, Cornel Klein, et al.. (2020). Learning and Testing Resilience in Cooperative Multi-Agent Systems. Adaptive Agents and Multi-Agents Systems. 1055–1063. 2 indexed citations

12.

Belzner, Lenz, et al.. (2020). Multi-agent Reinforcement Learning for Bargaining under Risk and Asymmetric Information. 144–151. 1 indexed citations

13.

Gabor, Thomas, et al.. (2020). The Holy Grail of Quantum Artificial Intelligence. 456–461. 12 indexed citations

14.

Müller, Robert, et al.. (2020). Towards Ecosystem Management from Greedy Reinforcement Learning in a Predator-Prey Setting. 518–525. 1 indexed citations

15.

Phan, Thomy, et al.. (2019). Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent Policies. arXiv (Cornell University). 2162–2164. 1 indexed citations

16.

Gabor, Thomas, et al.. (2019). Scenario co-evolution for reinforcement learning on a grid world smart factory domain. Proceedings of the Genetic and Evolutionary Computation Conference. 898–906. 5 indexed citations

17.

Gabor, Thomas, et al.. (2019). Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. 5562–5568. 6 indexed citations

18.

Phan, Thomy, et al.. (2019). Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7941–7948. 4 indexed citations

19.

Phan, Thomy, et al.. (2018). Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation. Adaptive Agents and Multi-Agents Systems. 730–738. 3 indexed citations

20.

Huang, Fang, George Sirinakis, Edward S. Allgeyer, et al.. (2016). Ultra-High Resolution 3D Imaging of Whole Cells. Cell. 166(4). 1028–1040. 230 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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