Jan Rosell
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 60
- Robotic Mechanisms and Dynamics 29
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- Robotic Path Planning Algorithms 52
- Co-authors
- Raúl Suárez (44 shared papers)Alexander Pérez (15 shared papers)Aliakbar Akbari (10 shared papers)Luis Basañez (12 shared papers)Mohammed Diab (7 shared papers)Mark Moll (1 shared paper)Lydia E. Kavraki (1 shared paper)Carlos Rosales (2 shared papers)
- Journals
- IEEE Access (3 papers)Autonomous Robots (3 papers)IEEE Transactions on Systems Man and Cybernetics Systems (2 papers)IEEE Robotics and Automation Letters (2 papers)Journal of Intelligent & Robotic Systems (2 papers)
- Partner nations
- SpainUnited KingdomColombia
In The Last Decade
Jan Rosell
90 papers receiving 955 citations
Peers
Comparison fields: 5 of 68
- Control and Systems Engineering 667
- Computer Vision and Pattern Recognition 498
- Industrial and Manufacturing Engineering 123
- Human-Computer Interaction 50
- Artificial Intelligence 211
Countries citing papers authored by Jan Rosell
This map shows the geographic impact of Jan Rosell'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 Jan Rosell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Rosell more than expected).
Fields of papers citing papers by Jan Rosell
This network shows the impact of papers produced by Jan Rosell. 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 Jan Rosell. The network helps show where Jan Rosell may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Rosell, 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 93 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 70 | |
| 2 | 2017 | 58 | |
| 3 | 2006 | 56 | |
| 4 | 2011 | 52 | |
| 5 | 2017 | 46 | |
| 6 | 2019 | 41 | |
| 7 | 2014 | 41 | |
| 8 | 2015 | 28 | |
| 9 | 2005 | 25 | |
| 10 | 2018 | 22 | |
| 11 | 2004 | 20 | |
| 12 | 2012 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 2017 | 17 | |
| 15 | 2003 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2014 | 16 | |
| 18 | 2007 | 15 | |
| 19 | 2009 | 15 | |
| 20 | 2008 | 14 |
About Jan Rosell
Jan Rosell is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Mechanical Engineering and Aerospace Engineering, having authored 93 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (60 papers), Robotic Path Planning Algorithms (52 papers), Robotic Mechanisms and Dynamics (29 papers), Manufacturing Process and Optimization (17 papers), Robotics and Sensor-Based Localization (17 papers), Teleoperation and Haptic Systems (13 papers), AI-based Problem Solving and Planning (13 papers) and Advanced Manufacturing and Logistics Optimization (5 papers). The work is most often cited by research in Control and Systems Engineering (667 citations), Computer Vision and Pattern Recognition (498 citations), Industrial and Manufacturing Engineering (123 citations), Human-Computer Interaction (50 citations) and Artificial Intelligence (211 citations). Jan Rosell has collaborated with scholars based in Spain, United Kingdom and Colombia. Frequent co-authors include Raúl Suárez, Alexander Pérez, Aliakbar Akbari, Luis Basañez, Mohammed Diab, Mark Moll, Lydia E. Kavraki, Carlos Rosales, Máximo A. Roa and Paolo Cabras. Their work appears in journals such as IEEE Access, Autonomous Robots, IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Robotics and Automation Letters and Journal of Intelligent & Robotic 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.