Antoine Ligot

403 total citations
11 papers, 175 citations indexed

About

Antoine Ligot is a scholar working on Artificial Intelligence, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Antoine Ligot has authored 11 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Mechanical Engineering and 4 papers in Computer Networks and Communications. Recurrent topics in Antoine Ligot's work include Reinforcement Learning in Robotics (8 papers), Modular Robots and Swarm Intelligence (6 papers) and Robot Manipulation and Learning (2 papers). Antoine Ligot is often cited by papers focused on Reinforcement Learning in Robotics (8 papers), Modular Robots and Swarm Intelligence (6 papers) and Robot Manipulation and Learning (2 papers). Antoine Ligot collaborates with scholars based in Belgium, Italy and Netherlands. Antoine Ligot's co-authors include Mauro Birattari, Muhammad Salman, Andrea Roli, Gianpiero Francesca, Thomas Stützle, Lorenzo Garattoni, Manuele Brambilla, David Garzón Ramos and Emanuele Garone and has published in prestigious journals such as Nature Communications, IEEE Transactions on Evolutionary Computation and Scientific Data.

In The Last Decade

Antoine Ligot

11 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Antoine Ligot Belgium	8	110	102	70	29	28	11	175
David Garzón Ramos Belgium	6	84 0.8×	48 0.5×	56 0.8×	14 0.5×	31 1.1×	20	127
Sylvain Koos France	2	65 0.6×	101 1.0×	15 0.2×	38 1.3×	21 0.8×	3	155
Onur Soysal United States	6	103 0.9×	22 0.2×	194 2.8×	10 0.3×	38 1.4×	9	228
Sylvain Guérin France	3	31 0.3×	36 0.4×	66 0.9×	7 0.2×	14 0.5×	9	129
Robert Gmyr Germany	10	98 0.9×	104 1.0×	101 1.4×	4 0.1×	26 0.9×	24	244
William Uther Australia	6	14 0.1×	122 1.2×	11 0.2×	21 0.7×	29 1.0×	9	183
Zhanpeng He United States	7	15 0.1×	78 0.8×	7 0.1×	70 2.4×	52 1.9×	18	181
Tsung-Yen Yang United States	7	8 0.1×	82 0.8×	22 0.3×	20 0.7×	22 0.8×	10	184
Hanning Zhou United States	8	8 0.1×	66 0.6×	16 0.2×	44 1.5×	144 5.1×	15	222
Dimitris Vassis Greece	9	6 0.1×	35 0.3×	169 2.4×	10 0.3×	23 0.8×	23	265

Countries citing papers authored by Antoine Ligot

Since Specialization

Citations

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

Fields of papers citing papers by Antoine Ligot

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoine Ligot

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

All Works

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11 of 11 papers shown

Ligot, Antoine, et al.. (2023). Automatic modular design of robot swarms based on repertoires of behaviors generated via novelty search. Swarm and Evolutionary Computation. 83. 101395–101395. 4 indexed citations

Ligot, Antoine & Mauro Birattari. (2022). On Using Simulation to Predict the Performance of Robot Swarms. Scientific Data. 9(1). 788–788. 8 indexed citations

Ligot, Antoine, et al.. (2022). Toward an Empirical Practice in Offline Fully Automatic Design of Robot Swarms. IEEE Transactions on Evolutionary Computation. 26(6). 1236–1245. 7 indexed citations

Ligot, Antoine, et al.. (2021). Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms. Nature Communications. 12(1). 4345–4345. 28 indexed citations

Ligot, Antoine, et al.. (2020). Automatic modular design of robot swarms using behavior trees as a control architecture. PeerJ Computer Science. 6. e314–e314. 11 indexed citations

Birattari, Mauro, et al.. (2020). Disentangling automatic and semi-automatic approaches to the optimization-based design of control software for robot swarms. Nature Machine Intelligence. 2(9). 494–499. 27 indexed citations

Roli, Andrea, Antoine Ligot, & Mauro Birattari. (2019). Complexity Measures: Open Questions and Novel Opportunities in the Automatic Design and Analysis of Robot Swarms. Frontiers in Robotics and AI. 6. 130–130. 1 indexed citations

Salman, Muhammad, Antoine Ligot, & Mauro Birattari. (2019). Concurrent design of control software and configuration of hardware for robot swarms under economic constraints. PeerJ Computer Science. 5. e221–e221. 11 indexed citations

Birattari, Mauro, Antoine Ligot, Manuele Brambilla, et al.. (2019). Automatic Off-Line Design of Robot Swarms: A Manifesto. Frontiers in Robotics and AI. 6. 59–59. 48 indexed citations

10.

Ligot, Antoine & Mauro Birattari. (2019). Simulation-only experiments to mimic the effects of the reality gap in the automatic design of robot swarms. Swarm Intelligence. 14(1). 1–24. 29 indexed citations

11.

Ligot, Antoine, et al.. (2018). Search space for AutoMoDe-Chocolate and AutoMoDe-Maple. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1 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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