Kim Baraka

57 total papers · 611 total citations
26 papers, 276 citations indexed

About

Kim Baraka is a scholar working on Artificial Intelligence, Control and Systems Engineering and Social Psychology. According to data from OpenAlex, Kim Baraka has authored 26 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 7 papers in Social Psychology. Recurrent topics in Kim Baraka's work include Reinforcement Learning in Robotics (7 papers), Social Robot Interaction and HRI (6 papers) and Robot Manipulation and Learning (5 papers). Kim Baraka is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Social Robot Interaction and HRI (6 papers) and Robot Manipulation and Learning (5 papers). Kim Baraka collaborates with scholars based in Netherlands, United States and Portugal. Kim Baraka's co-authors include Manuela Veloso, Ayman Kayssi, Rouwaida Kanj, Stephanie Rosenthal, Francisco S. Melo, Danica Kragić, Mårten Björkman, Ali J. Ghandour, Hang Yin and Ali El‐Hajj and has published in prestigious journals such as Ad Hoc Networks, International Journal of Social Robotics and Machine Vision and Applications.

In The Last Decade

Kim Baraka

17 papers receiving 251 citations

Author Peers

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

Author Last Decade Papers Cites
Kim Baraka 89 88 81 50 50 26 276
Julian Schindler 86 1.0× 155 1.8× 145 1.8× 17 0.3× 21 0.4× 42 331
Joo-Chan Sohn 27 0.3× 23 0.3× 89 1.1× 67 1.3× 89 1.8× 33 238
David St-Onge 22 0.2× 52 0.6× 97 1.2× 77 1.5× 58 1.2× 43 313
Ashwin Ramesh Babu 17 0.2× 74 0.8× 41 0.5× 20 0.4× 75 1.5× 21 308
Mohit Kumar 33 0.4× 28 0.3× 31 0.4× 39 0.8× 68 1.4× 14 317
Qingkun Li 72 0.8× 73 0.8× 36 0.4× 52 1.0× 12 0.2× 32 260
Peter Einramhof 27 0.3× 123 1.4× 59 0.7× 14 0.3× 134 2.7× 10 308
Jacob Crossman 38 0.4× 21 0.2× 136 1.7× 43 0.9× 61 1.2× 22 312
Holger Kenn 84 0.9× 21 0.2× 33 0.4× 48 1.0× 141 2.8× 27 309
Manuele Bonaccorsi 18 0.2× 93 1.1× 93 1.1× 70 1.4× 112 2.2× 14 289

Countries citing papers authored by Kim Baraka

Since Specialization
Citations

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

Fields of papers citing papers by Kim Baraka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Baraka

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Baraka. A scholar is included among the top collaborators of Kim Baraka 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 Kim Baraka. Kim Baraka 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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2026