Sven Gronauer

14 total papers · 752 total citations
6 papers, 424 citations indexed

About

Sven Gronauer is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Networks and Communications. According to data from OpenAlex, Sven Gronauer has authored 6 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Statistical and Nonlinear Physics and 1 paper in Computer Networks and Communications. Recurrent topics in Sven Gronauer's work include Reinforcement Learning in Robotics (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Model Reduction and Neural Networks (2 papers). Sven Gronauer is often cited by papers focused on Reinforcement Learning in Robotics (5 papers), Adversarial Robustness in Machine Learning (3 papers) and Model Reduction and Neural Networks (2 papers). Sven Gronauer collaborates with scholars based in Germany. Sven Gronauer's co-authors include Klaus Diepold and has published in prestigious journals such as Artificial Intelligence Review, mediaTUM (Technical University of Munich) and 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Sven Gronauer

5 papers receiving 415 citations

Hit Papers

Multi-agent deep reinforc... 2021 2026 2022 2024 2021 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sven Gronauer 183 113 81 76 53 6 424
Laëtitia Matignon 221 1.2× 111 1.0× 83 1.0× 60 0.8× 54 1.0× 17 460
Sanchita Basak 153 0.8× 50 0.4× 79 1.0× 80 1.1× 48 0.9× 13 424
Ghodrat Sepidnam 199 1.1× 91 0.8× 59 0.7× 60 0.8× 67 1.3× 11 462
Xu Wang 106 0.6× 78 0.7× 85 1.0× 97 1.3× 58 1.1× 12 484
Vinícius Zambaldi 285 1.6× 83 0.7× 45 0.6× 36 0.5× 40 0.8× 8 392
Jason J. Sauppe 99 0.5× 89 0.8× 61 0.8× 82 1.1× 39 0.7× 19 472
Kun Shao 247 1.3× 70 0.6× 49 0.6× 33 0.4× 73 1.4× 16 373
Andi Tang 251 1.4× 43 0.4× 76 0.9× 76 1.0× 64 1.2× 13 455
Dorothea Heiss-Czedik 113 0.6× 50 0.4× 41 0.5× 56 0.7× 53 1.0× 6 462
Ajeesh P. Kurian 87 0.5× 91 0.8× 86 1.1× 106 1.4× 102 1.9× 14 481

Countries citing papers authored by Sven Gronauer

Since Specialization
Citations

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

Fields of papers citing papers by Sven Gronauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sven Gronauer

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

All Works

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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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