Vincent Berenz

41 total papers · 741 total citations
24 papers, 416 citations indexed

About

Vincent Berenz is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vincent Berenz has authored 24 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Control and Systems Engineering and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vincent Berenz's work include Reinforcement Learning in Robotics (7 papers), Robot Manipulation and Learning (4 papers) and Emotion and Mood Recognition (4 papers). Vincent Berenz is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Robot Manipulation and Learning (4 papers) and Emotion and Mood Recognition (4 papers). Vincent Berenz collaborates with scholars based in Japan, Germany and United States. Vincent Berenz's co-authors include Sebastian Trimpe, Johannes Köhler, Kenji Suzuki, Julian Nubert, Frank Allgöwer, Fumihide Tanaka, Anna Gruebler, Michael Anderson, Susan Anderson and Bernhard Schölkopf and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Robotics and Frontiers in Neuroscience.

In The Last Decade

Vincent Berenz

22 papers receiving 389 citations

Author Peers

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

Author Last Decade Papers Cites
Vincent Berenz 202 114 98 78 47 24 416
Mark Edmonds 117 0.6× 179 1.6× 74 0.8× 42 0.5× 57 1.2× 19 401
Alessandro Roncone 190 0.9× 102 0.9× 80 0.8× 64 0.8× 43 0.9× 27 398
Aitor Ibarguren 162 0.8× 51 0.4× 78 0.8× 57 0.7× 54 1.1× 26 403
Minhua Zheng 94 0.5× 86 0.8× 131 1.3× 83 1.1× 32 0.7× 32 474
Matthias Kerzel 89 0.4× 147 1.3× 100 1.0× 40 0.5× 23 0.5× 43 374
Robert Krug 236 1.2× 60 0.5× 115 1.2× 113 1.4× 80 1.7× 28 387
Aleksandar Jevtić 118 0.6× 127 1.1× 154 1.6× 51 0.7× 80 1.7× 36 445
Enrique Coronado 132 0.7× 90 0.8× 101 1.0× 47 0.6× 48 1.0× 29 461
Siddarth Jain 182 0.9× 60 0.5× 68 0.7× 86 1.1× 72 1.5× 31 391
Norihiro Hagita 145 0.7× 107 0.9× 142 1.4× 23 0.3× 43 0.9× 16 419

Countries citing papers authored by Vincent Berenz

Since Specialization
Citations

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

Fields of papers citing papers by Vincent Berenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vincent Berenz

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