Jonathan Weisz
Impact in
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Muscle activation and electromyography studies 6
- Soft Robotics and Applications 5
- Prosthetics and Rehabilitation Robotics 2
- Robotic Locomotion and Control 2
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- Robot Manipulation and Learning 8
- Co-authors
- Peter K. Allen (7 shared papers)Peter Allen (2 shared papers)Jacob Varley (1 shared paper)Hao Dang (1 shared paper)Long Wang (1 shared paper)Joseph DelPreto (1 shared paper)Robert D. Howe (1 shared paper)Frank L. Hammond (1 shared paper)
- Journals
- The International Journal of Robotics Research (1 paper)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Jonathan Weisz
12 papers receiving 355 citations
Peers
Comparison fields: 5 of 46
- Control and Systems Engineering 314
- Human-Computer Interaction 52
- Biomedical Engineering 229
- Cognitive Neuroscience 65
- Computer Vision and Pattern Recognition 57
Countries citing papers authored by Jonathan Weisz
This map shows the geographic impact of Jonathan Weisz'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 Jonathan Weisz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Weisz more than expected).
Fields of papers citing papers by Jonathan Weisz
This network shows the impact of papers produced by Jonathan Weisz. 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 Jonathan Weisz. The network helps show where Jonathan Weisz may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Weisz, 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 | 2012 | 118 | |
| 2 | 2015 | 81 | |
| 3 | 2011 | 48 | |
| 4 | 2011 | 48 | |
| 5 | 2012 | 25 | |
| 6 | 2016 | 21 | |
| 7 | 2017 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2016 | 5 | |
| 10 | 2013 | 5 | |
| 11 | 2014 | 2 | |
| 12 | 2014 | 2 |
About Jonathan Weisz
Jonathan Weisz is a scholar working on Biomedical Engineering, Control and Systems Engineering, Cognitive Neuroscience, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 371 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (8 papers), Muscle activation and electromyography studies (6 papers), Soft Robotics and Applications (5 papers), Neuroscience and Neural Engineering (2 papers), EEG and Brain-Computer Interfaces (2 papers), Scientific Computing and Data Management (2 papers), Prosthetics and Rehabilitation Robotics (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (314 citations), Human-Computer Interaction (52 citations), Biomedical Engineering (229 citations), Cognitive Neuroscience (65 citations) and Computer Vision and Pattern Recognition (57 citations). Jonathan Weisz has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Peter K. Allen, Peter Allen, Jacob Varley, Hao Dang, Long Wang, Joseph DelPreto, Robert D. Howe, Frank L. Hammond, Yipeng Huang and Simha Sethumadhavan. Their work appears in journals such as The International Journal of Robotics Research and 2011 IEEE/RSJ International Conference on Intelligent Robots and 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.