Robert Paolini
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
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- Robotic Path Planning Algorithms
Papers in
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- Robot Manipulation and Learning 8
- Robotic Mechanisms and Dynamics 6
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- Soft Robotics and Applications 2
- Muscle activation and electromyography studies 1
- Co-authors
- Matthew T. Mason (9 shared papers)Siddhartha S Srinivasa (4 shared papers)Harald Staab (3 shared papers)Thomas Fuhlbrigge (3 shared papers)Michael Erdmann (3 shared papers)Ivan Lundberg (3 shared papers)Nikhil Chavan-Dafle (3 shared papers)Alberto Rodríguez (3 shared papers)
- Journals
- The International Journal of Robotics Research (2 papers)IEEE Robotics and Automation Letters (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Robert Paolini
10 papers receiving 386 citations
Peers
Comparison fields: 5 of 35
- Control and Systems Engineering 356
- Computer Vision and Pattern Recognition 101
- Biomedical Engineering 211
- Human-Computer Interaction 15
- Cognitive Neuroscience 50
Countries citing papers authored by Robert Paolini
This map shows the geographic impact of Robert Paolini'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 Robert Paolini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Paolini more than expected).
Fields of papers citing papers by Robert Paolini
This network shows the impact of papers produced by Robert Paolini. 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 Robert Paolini. The network helps show where Robert Paolini may publish in the future.
Co-authors
The 19 scholars most cited alongside Robert Paolini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 199 | |
| 2 | 2016 | 52 | |
| 3 | 2018 | 34 | |
| 4 | 2015 | 30 | |
| 5 | 2014 | 29 | |
| 6 | 2017 | 19 | |
| 7 | 2011 | 12 | |
| 8 | 2014 | 11 | |
| 9 | Extrinsic dexterity: In-hand manipulation with external forces | 2014 | 8 |
| 10 | 2016 | 6 |
About Robert Paolini
Robert Paolini is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition, Cognitive Neuroscience and Astronomy and Astrophysics, having authored 10 papers that have together received 400 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Robotic Mechanisms and Dynamics (6 papers), Soft Robotics and Applications (2 papers), Robotic Path Planning Algorithms (2 papers), Motor Control and Adaptation (2 papers), Fuzzy Logic and Control Systems (1 paper), Muscle activation and electromyography studies (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Control and Systems Engineering (356 citations), Computer Vision and Pattern Recognition (101 citations), Biomedical Engineering (211 citations), Human-Computer Interaction (15 citations) and Cognitive Neuroscience (50 citations). Robert Paolini has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Matthew T. Mason, Siddhartha S Srinivasa, Harald Staab, Thomas Fuhlbrigge, Michael Erdmann, Ivan Lundberg, Nikhil Chavan-Dafle, Alberto Rodríguez, J. Andrew Bagnell and Drew Bagnell. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and DSpace@MIT (Massachusetts Institute of Technology).
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.