Roberto Calandra
Impact in
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- Robot Manipulation and Learning
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions
Papers in
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- Robot Manipulation and Learning 13
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- Reinforcement Learning in Robotics 10
- Machine Learning and Data Classification 4
- Gaussian Processes and Bayesian Inference 4
- Co-authors
- Jan Peters (12 shared papers)Marc Peter Deisenroth (8 shared papers)Sergey Levine (7 shared papers)André Seyfarth (5 shared papers)Justin Lin (3 shared papers)Dinesh Jayaraman (2 shared papers)Edward H. Adelson (2 shared papers)Andrew Owens (2 shared papers)
- Journals
- IEEE Robotics and Automation Letters (6 papers)IEEE Transactions on Robotics (3 papers)IEEE Transactions on Biomedical Engineering (1 paper)Robotics and Autonomous Systems (1 paper)Journal of Artificial Intelligence Research (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Roberto Calandra
38 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 108
- Control and Systems Engineering 679
- Cognitive Neuroscience 427
- Human-Computer Interaction 123
- Biomedical Engineering 598
- Artificial Intelligence 455
Countries citing papers authored by Roberto Calandra
This map shows the geographic impact of Roberto Calandra'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 Roberto Calandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Calandra more than expected).
Fields of papers citing papers by Roberto Calandra
This network shows the impact of papers produced by Roberto Calandra. 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 Roberto Calandra. The network helps show where Roberto Calandra may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Calandra, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 247 | |
| 2 | 2015 | 161 | |
| 3 | 2016 | 110 | |
| 4 | 2022 | 96 | |
| 5 | 2019 | 81 | |
| 6 | 2021 | 70 | |
| 7 | 2016 | 59 | |
| 8 | 2022 | 54 | |
| 9 | 2014 | 51 | |
| 10 | 2017 | 50 | |
| 11 | 2016 | 46 | |
| 12 | 2022 | 45 | |
| 13 | 2019 | 40 | |
| 14 | 2012 | 37 | |
| 15 | The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? | 2017 | 36 |
| 16 | 2014 | 35 | |
| 17 | 2018 | 33 | |
| 18 | 2015 | 32 | |
| 19 | 2024 | 31 | |
| 20 | 2024 | 29 |
About Roberto Calandra
Roberto Calandra is a scholar working on Control and Systems Engineering, Artificial Intelligence, Biomedical Engineering, Cognitive Neuroscience and Computational Theory and Mathematics, having authored 40 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (13 papers), Reinforcement Learning in Robotics (10 papers), Tactile and Sensory Interactions (9 papers), Robotic Locomotion and Control (6 papers), Advanced Multi-Objective Optimization Algorithms (6 papers), Muscle activation and electromyography studies (5 papers), Machine Learning and Data Classification (4 papers) and Gaussian Processes and Bayesian Inference (4 papers). The work is most often cited by research in Control and Systems Engineering (679 citations), Cognitive Neuroscience (427 citations), Human-Computer Interaction (123 citations), Biomedical Engineering (598 citations) and Artificial Intelligence (455 citations). Roberto Calandra has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jan Peters, Marc Peter Deisenroth, Sergey Levine, André Seyfarth, Justin Lin, Dinesh Jayaraman, Edward H. Adelson, Andrew Owens, Wenzhen Yuan and Jitendra Malik. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, IEEE Transactions on Biomedical Engineering, Robotics and Autonomous Systems and Journal of Artificial Intelligence Research.
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.