Rogerio Bonatti

765 total citations · 1 hit paper
12 papers, 327 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 327 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), Advanced Vision and Imaging (3 papers) and Topic Modeling (3 papers). Rogerio Bonatti is often cited by papers focused on Multimodal Machine Learning Applications (4 papers), Advanced Vision and Imaging (3 papers) and Topic Modeling (3 papers). Rogerio Bonatti collaborates with scholars based in United States, United Kingdom and China. Rogerio Bonatti's co-authors include Arthur Bucker, Ashish Kapoor, Sai Vemprala, Shuang Ma, Sebastian Scherer, Luis Figueredo, Ashish Kapoor, Guilherme A. S. Pereira, 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 320 citations

Hit Papers

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

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rogerio Bonatti United States 6 149 147 89 54 17 12 327
Christopher Agia United States 6 97 0.7× 123 0.8× 74 0.8× 45 0.8× 16 0.9× 12 273
Sai Vemprala United States 8 183 1.2× 137 0.9× 79 0.9× 117 2.2× 15 0.9× 20 387
Linxi Fan United States 7 124 0.8× 103 0.7× 73 0.8× 38 0.7× 9 0.5× 12 239
Daniel Fernando Tello Gamarra Brazil 10 158 1.1× 87 0.6× 89 1.0× 85 1.6× 18 1.1× 37 291
Jonatan Ginés Spain 7 135 0.9× 64 0.4× 76 0.9× 76 1.4× 12 0.7× 13 276
Dominik Jain Germany 12 139 0.9× 167 1.1× 121 1.4× 66 1.2× 7 0.4× 16 326
Rui Lin China 8 130 0.9× 126 0.9× 34 0.4× 55 1.0× 18 1.1× 35 268
Arthur Bucker United Kingdom 3 96 0.6× 133 0.9× 76 0.9× 15 0.3× 12 0.7× 3 252
Bashra Kadhim Oleiwi Iraq 12 138 0.9× 47 0.3× 109 1.2× 39 0.7× 15 0.9× 41 324
Raymond Sheh Australia 10 87 0.6× 81 0.6× 74 0.8× 80 1.5× 10 0.6× 35 296

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.

All Works

12 of 12 papers shown
1.
Bonatti, Rogerio, et al.. (2024). ConBaT: Control Barrier Transformer for Safe Robot Learning from Demonstrations. 12857–12864. 1 indexed citations
2.
Bhattacharya, Anish, Fernando Cladera, Sai Vemprala, et al.. (2024). EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields. 5834–5843. 5 indexed citations
3.
Vemprala, Sai, Rogerio Bonatti, Arthur Bucker, & Ashish Kapoor. (2024). ChatGPT for Robotics: Design Principles and Model Abilities. IEEE Access. 12. 55682–55696. 198 indexed citations breakdown →
4.
Bucker, Arthur, Luis Figueredo, Sami Haddadin, et al.. (2023). LATTE: LAnguage Trajectory TransformEr. 7287–7294. 26 indexed citations
5.
Bonatti, Rogerio, et al.. (2023). PACT: Perception-Action Causal Transformer for Autoregressive Robotics Pre-Training. 3621–3627. 12 indexed citations
6.
Yao, Wei, Yanchao Sun, Sai Vemprala, et al.. (2023). Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. 16175–16185. 2 indexed citations
7.
Pereira, Guilherme A. S., et al.. (2022). Visual Servoing Approach to Autonomous UAV Landing on a Moving Vehicle. Sensors. 22(17). 6549–6549. 37 indexed citations
8.
Bucker, Arthur, et al.. (2022). Reshaping Robot Trajectories Using Natural Language Commands: A Study of Multi-Modal Data Alignment Using Transformers. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 978–984. 28 indexed citations
9.
Jong, Andrew, et al.. (2021). 3D Human Reconstruction in the Wild with Collaborative Aerial Cameras. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 5263–5269. 11 indexed citations
10.
Bonatti, Rogerio, et al.. (2019). Learning Controls Using Cross-Modal Representations: Bridging Simulation and Reality for Drone Racing.. 2 indexed citations
12.
Bonatti, Rogerio, et al.. (2016). Effect of Part-of-Speech and Lemmatization Filtering in Email Classification for Automatic Reply.. 3 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026