Diego Romeres
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Control Systems and Identification
- Fault Detection and Control Systems
Papers in
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- Robot Manipulation and Learning 16
- Advanced Control Systems Optimization 10
- Robotic Mechanisms and Dynamics 8
- Control Systems and Identification 7
- Fault Detection and Control Systems 6
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- Gaussian Processes and Bayesian Inference 10
- Reinforcement Learning in Robotics 5
- Co-authors
- Devesh K. Jha (26 shared papers)Daniel Nikovski (16 shared papers)Alberto Rodríguez (2 shared papers)Francesco Bullo (1 shared paper)Florian Dörfler (1 shared paper)Siyuan Dong (1 shared paper)Arvind U. Raghunathan (8 shared papers)Ruggero Carli (7 shared papers)
- Journals
- IEEE Robotics and Automation Letters (2 papers)IEEE Transactions on Robotics (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Nonlinear Analysis Hybrid Systems (1 paper)IEEE Control Systems (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Diego Romeres
43 papers receiving 355 citations
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 232
- Industrial and Manufacturing Engineering 35
- Cognitive Neuroscience 50
- Artificial Intelligence 85
- Computer Vision and Pattern Recognition 47
Countries citing papers authored by Diego Romeres
This map shows the geographic impact of Diego Romeres'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 Diego Romeres with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Romeres more than expected).
Fields of papers citing papers by Diego Romeres
This network shows the impact of papers produced by Diego Romeres. 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 Diego Romeres. The network helps show where Diego Romeres may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Romeres, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 74 | |
| 2 | 2013 | 44 | |
| 3 | 2021 | 19 | |
| 4 | 2023 | 18 | |
| 5 | 2012 | 17 | |
| 6 | 2019 | 15 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2013 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2022 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2023 | 6 |
About Diego Romeres
Diego Romeres is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Industrial and Manufacturing Engineering, having authored 49 papers that have together received 370 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (16 papers), Gaussian Processes and Bayesian Inference (10 papers), Advanced Control Systems Optimization (10 papers), Robotic Mechanisms and Dynamics (8 papers), Control Systems and Identification (7 papers), Robotic Path Planning Algorithms (6 papers), Fault Detection and Control Systems (6 papers) and Reinforcement Learning in Robotics (5 papers). The work is most often cited by research in Control and Systems Engineering (232 citations), Industrial and Manufacturing Engineering (35 citations), Cognitive Neuroscience (50 citations), Artificial Intelligence (85 citations) and Computer Vision and Pattern Recognition (47 citations). Diego Romeres has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Devesh K. Jha, Daniel Nikovski, Alberto Rodríguez, Francesco Bullo, Florian Dörfler, Siyuan Dong, Arvind U. Raghunathan, Ruggero Carli, Masayoshi Tomizuka and Siddarth Jain. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Engineering Applications of Artificial Intelligence, Nonlinear Analysis Hybrid Systems and IEEE Control Systems.
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.