Gabriel Barth-Maron

2.2k total citations
4 papers, 103 citations indexed

About

Gabriel Barth-Maron is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gabriel Barth-Maron has authored 4 papers receiving a total of 103 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Gabriel Barth-Maron's work include Reinforcement Learning in Robotics (3 papers), AI-based Problem Solving and Planning (2 papers) and Zebrafish Biomedical Research Applications (1 paper). Gabriel Barth-Maron is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), AI-based Problem Solving and Planning (2 papers) and Zebrafish Biomedical Research Applications (1 paper). Gabriel Barth-Maron collaborates with scholars based in United States and United Kingdom. Gabriel Barth-Maron's co-authors include David Budden, Dan Horgan, Matteo Hessel, John Quan, David Silver, Hado van Hasselt, Nicolas Heess, Matthew W. Hoffman, Timothy Lillicrap and Will Dabney and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and National Conference on Artificial Intelligence.

In The Last Decade

Gabriel Barth-Maron

4 papers receiving 103 citations

Peers

Gabriel Barth-Maron
Comparison fields: 5 of 34
  • Artificial Intelligence 65
  • Electrical and Electronic Engineering 31
  • Control and Systems Engineering 20
  • Computational Theory and Mathematics 20
  • Computer Networks and Communications 17
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Citations per field, relative to Gabriel Barth-Maron
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Citations per year, relative to Gabriel Barth-Maron
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Countries citing papers authored by Gabriel Barth-Maron

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Barth-Maron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Barth-Maron. 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 Gabriel Barth-Maron. The network helps show where Gabriel Barth-Maron may publish in the future.

Co-authorship network of co-authors of Gabriel Barth-Maron

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

All Works

4 of 4 papers shown
# Work Indexed citations
1
Distributed Prioritized Experience Replay
56
2
Distributed Distributional Deterministic Policy Gradients
34
3 8
4
Affordances as Transferable Knowledge for Planning Agents.
5

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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