Vincent-Pierre Berges

709 total citations
3 papers, 3 citations indexed

About

Vincent-Pierre Berges is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Vincent-Pierre Berges has authored 3 papers receiving a total of 3 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 1 paper in Mechanical Engineering. Recurrent topics in Vincent-Pierre Berges's work include Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (2 papers) and Modular Robots and Swarm Intelligence (1 paper). Vincent-Pierre Berges is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (2 papers) and Modular Robots and Swarm Intelligence (1 paper). Vincent-Pierre Berges collaborates with scholars based in United States and Germany. Vincent-Pierre Berges's co-authors include Aaron Gokaslan, Mrinal Kalakrishnan, Tingfan Wu, Oleksandr Maksymets, Aravind Rajeswaran, Arjun Majumdar, Dhruv Batra, Roozbeh Mottaghi, Eric Undersander and Franziska Meier and has published in prestigious journals such as .

In The Last Decade

Vincent-Pierre Berges

2 papers receiving 3 citations

Peers — A (Enhanced Table)

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

Name	h					Papers	Cites
Vincent-Pierre Berges United States	2	2	2	1	1	3	3
M. M. China	2	2 1.0×	2 1.0×			3	4
Jifeng Hu China	2	2 1.0×	2 1.0×			7	6
Zhenfei Yin China	2	2 1.0×	2 1.0×			9	7
Adam Bates United Kingdom	1	2 1.0×	2 1.0×			2	4
Sharan Sankar India	1	2 1.0×	3 1.5×	1 1.0×		2	6
M. Wang China	2	2 1.0×	3 1.5×		1 1.0×	2	7
H. J. Lu United Kingdom	1	2 1.0×	3 1.5×			2	5
Luca Moschella Italy	2	3 1.5×	2 1.0×			2	5
Ruiqi Li China	2	3 1.5×	2 1.0×		1 1.0×	3	4

Countries citing papers authored by Vincent-Pierre Berges

Since Specialization

Citations

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

Fields of papers citing papers by Vincent-Pierre Berges

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vincent-Pierre Berges. 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 Vincent-Pierre Berges. The network helps show where Vincent-Pierre Berges may publish in the future.

Co-authorship network of co-authors of Vincent-Pierre Berges

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

All Works

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3 of 3 papers shown

1.

Wu, Tingfan, Arjun Majumdar, Vincent-Pierre Berges, et al.. (2024). What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?. 17515–17521.

2.

Berges, Vincent-Pierre, Devendra Singh Chaplot, Aaron Gokaslan, et al.. (2023). Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-Per-Second. 13767–13777. 1 indexed citations

3.

Berges, Vincent-Pierre, et al.. (2019). Action Spaces in Deep Reinforcement Learning to Mimic Human Input Devices. 1–8. 2 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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