Petar Kormushev

159 total papers · 2.7k total citations
97 papers, 1.8k citations indexed

About

Petar Kormushev is a scholar working on Control and Systems Engineering, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Petar Kormushev has authored 97 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Control and Systems Engineering, 48 papers in Biomedical Engineering and 35 papers in Artificial Intelligence. Recurrent topics in Petar Kormushev's work include Robot Manipulation and Learning (42 papers), Reinforcement Learning in Robotics (25 papers) and Robotic Locomotion and Control (22 papers). Petar Kormushev is often cited by papers focused on Robot Manipulation and Learning (42 papers), Reinforcement Learning in Robotics (25 papers) and Robotic Locomotion and Control (22 papers). Petar Kormushev collaborates with scholars based in Italy, United Kingdom and Spain. Petar Kormushev's co-authors include Darwin G. Caldwell, Sylvain Calinon, Fabio Pardo, S. Reza Ahmadzadeh, Marc Carreras, Nikos G. Tsagarakis, Barkan Uğurlu, Kostas J. Kyriakopoulos, Narcís Palomeras and Arnau Carrera and has published in prestigious journals such as IEEE Access, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Robotics.

In The Last Decade

Petar Kormushev

95 papers receiving 1.7k citations

Author Peers

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

Author Last Decade Papers Cites
Petar Kormushev 1.0k 691 542 281 279 97 1.8k
Yunyi Jia 742 0.7× 304 0.4× 313 0.6× 270 1.0× 417 1.5× 142 1.9k
Zhibin Li 710 0.7× 918 1.3× 201 0.4× 223 0.8× 254 0.9× 161 1.8k
Samia Nefti‐Meziani 566 0.6× 1.0k 1.5× 357 0.7× 350 1.2× 274 1.0× 89 2.1k
Christian Smith 871 0.9× 617 0.9× 441 0.8× 383 1.4× 317 1.1× 91 1.9k
Tony J. Dodd 453 0.4× 460 0.7× 223 0.4× 361 1.3× 150 0.5× 78 1.3k
Takamitsu Matsubara 885 0.9× 992 1.4× 507 0.9× 217 0.8× 273 1.0× 147 1.9k
Elena R. Messina 535 0.5× 301 0.4× 292 0.5× 298 1.1× 371 1.3× 108 1.5k
Eric Rohmer 567 0.6× 561 0.8× 242 0.4× 289 1.0× 436 1.6× 55 1.4k
Lazaros Nalpantidis 730 0.7× 300 0.4× 315 0.6× 318 1.1× 764 2.7× 87 2.1k
Jing Xiao 612 0.6× 361 0.5× 466 0.9× 294 1.0× 510 1.8× 172 1.9k

Countries citing papers authored by Petar Kormushev

Since Specialization
Citations

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

Fields of papers citing papers by Petar Kormushev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Petar Kormushev

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