Rogerio Bonatti

45 total papers · 745 total citations
12 papers, 310 citations indexed

About

Rogerio Bonatti is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Rogerio Bonatti has authored 12 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Aerospace Engineering. Recurrent topics in Rogerio Bonatti's work include Multimodal Machine Learning Applications (4 papers), Reinforcement Learning in Robotics (3 papers) and Robotics and Sensor-Based Localization (3 papers). Rogerio Bonatti is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Reinforcement Learning in Robotics (3 papers) and Robotics and Sensor-Based Localization (3 papers). Rogerio Bonatti collaborates with scholars based in United States, United Kingdom and Brazil. Rogerio Bonatti's co-authors include Arthur Bucker, Ashish Kapoor, Sai Vemprala, Shuang Ma, Sebastian Scherer, Luis Figueredo, Guilherme A. S. Pereira, Ashish Kapoor, Sami Haddadin and Andrew Jong and has published in prestigious journals such as IEEE Access, Sensors and 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

In The Last Decade

Rogerio Bonatti

12 papers receiving 303 citations

Hit Papers

ChatGPT for Robotics: Des... 2024 2026 2024 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Rogerio Bonatti 146 142 87 54 17 12 310
Christopher Agia 95 0.7× 118 0.8× 70 0.8× 43 0.8× 13 0.8× 10 256
Linxi Fan 122 0.8× 103 0.7× 73 0.8× 36 0.7× 16 0.9× 10 236
Anthony Francis 197 1.3× 102 0.7× 70 0.8× 76 1.4× 27 1.6× 7 318
Alexandros Kouris 158 1.1× 87 0.6× 55 0.6× 65 1.2× 25 1.5× 13 325
Dominik Jain 139 1.0× 166 1.2× 121 1.4× 66 1.2× 10 0.6× 16 324
Wei Zhang 98 0.7× 64 0.5× 49 0.6× 54 1.0× 22 1.3× 19 305
Felix Duvallet 113 0.8× 117 0.8× 94 1.1× 45 0.8× 24 1.4× 14 266
Ajay Mandlekar 87 0.6× 168 1.2× 142 1.6× 23 0.4× 35 2.1× 14 305
Jonatan Ginés 130 0.9× 60 0.4× 71 0.8× 73 1.4× 11 0.6× 13 259
Yingyi Sun 125 0.9× 65 0.5× 87 1.0× 48 0.9× 58 3.4× 18 294

Countries citing papers authored by Rogerio Bonatti

Since Specialization
Citations

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

Fields of papers citing papers by Rogerio Bonatti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rogerio Bonatti

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

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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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