Mitch Pryor
Impact in
- Control and Systems Engineering top 10%
- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
-
- Robot Manipulation and Learning 28
- Robotics and Automated Systems 10
- Robotic Mechanisms and Dynamics 10
-
- Teleoperation and Haptic Systems 17
- Co-authors
- Karl Kruusamäe (8 shared papers)Delbert Tesar (7 shared papers)Eric van Oort (4 shared papers)S. Landsberger (4 shared papers)Andrew J. Sharp (5 shared papers)Farshid Alambeigi (4 shared papers)Andrea L. Thomaz (5 shared papers)Roman Shor (1 shared paper)
- Journals
- IEEE Transactions on Automation Science and Engineering (4 papers)Journal of Radioanalytical and Nuclear Chemistry (2 papers)Journal of Mechanisms and Robotics (2 papers)Robotics (1 paper)Applied Sciences (1 paper)
- Partner nations
- United StatesEstoniaCanada
In The Last Decade
Mitch Pryor
60 papers receiving 341 citations
Peers
Comparison fields: 5 of 63
- Control and Systems Engineering 151
- Human-Computer Interaction 24
- Computer Vision and Pattern Recognition 76
- Industrial and Manufacturing Engineering 36
- Radiological and Ultrasound Technology 15
Countries citing papers authored by Mitch Pryor
This map shows the geographic impact of Mitch Pryor'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 Mitch Pryor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitch Pryor more than expected).
Fields of papers citing papers by Mitch Pryor
This network shows the impact of papers produced by Mitch Pryor. 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 Mitch Pryor. The network helps show where Mitch Pryor may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitch Pryor, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 25 | |
| 2 | 2020 | 19 | |
| 3 | 2017 | 17 | |
| 4 | 2008 | 17 | |
| 5 | 2018 | 16 | |
| 6 | 2004 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2014 | 13 | |
| 9 | 2017 | 11 | |
| 10 | 2024 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2019 | 8 | |
| 13 | 2016 | 8 | |
| 14 | 2020 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2004 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2002 | 7 | |
| 20 | 2022 | 7 |
About Mitch Pryor
Mitch Pryor is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Aerospace Engineering, having authored 67 papers that have together received 349 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (28 papers), Teleoperation and Haptic Systems (17 papers), Robotics and Automated Systems (10 papers), Robotic Mechanisms and Dynamics (10 papers), Robotic Path Planning Algorithms (9 papers), Robotics and Sensor-Based Localization (8 papers), Soft Robotics and Applications (7 papers) and Manufacturing Process and Optimization (5 papers). The work is most often cited by research in Control and Systems Engineering (151 citations), Human-Computer Interaction (24 citations), Computer Vision and Pattern Recognition (76 citations), Industrial and Manufacturing Engineering (36 citations) and Radiological and Ultrasound Technology (15 citations). Mitch Pryor has collaborated with scholars based in United States, Estonia and Canada. Frequent co-authors include Karl Kruusamäe, Delbert Tesar, Eric van Oort, S. Landsberger, Andrew J. Sharp, Farshid Alambeigi, Andrea L. Thomaz, Roman Shor, Elaine Schaertl Short and Pradeepkumar Ashok. Their work appears in journals such as IEEE Transactions on Automation Science and Engineering, Journal of Radioanalytical and Nuclear Chemistry, Journal of Mechanisms and Robotics, Robotics and Applied Sciences.
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.