Jeff Wiegley
Impact in
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- Robotics and Automated Systems
- Robot Manipulation and Learning
- Mechanical Engineering top 10%
- Teleoperation and Haptic Systems
- Modular Robots and Swarm Intelligence
Papers in
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- Robotics and Automated Systems 4
- Robot Manipulation and Learning 3
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- Teleoperation and Haptic Systems 4
- Co-authors
- Ken Goldberg (7 shared papers)Anil V. Rao (1 shared paper)John Noga (2 shared papers)P.D. Smith (1 shared paper)Wolfgang Bein (1 shared paper)
- Journals
- IEEE Robotics & Automation Magazine (1 paper)Assembly Automation (1 paper)SHILAP Revista de lepidopterología (1 paper)ACM SIGCSE Bulletin (1 paper)The MIT Press eBooks (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Jeff Wiegley
10 papers receiving 358 citations
Peers
Comparison fields: 5 of 44
- Control and Systems Engineering 256
- Mechanical Engineering 244
- Computer Vision and Pattern Recognition 113
- Human-Computer Interaction 29
- Media Technology 32
Countries citing papers authored by Jeff Wiegley
This map shows the geographic impact of Jeff Wiegley'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 Jeff Wiegley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Wiegley more than expected).
Fields of papers citing papers by Jeff Wiegley
This network shows the impact of papers produced by Jeff Wiegley. 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 Jeff Wiegley. The network helps show where Jeff Wiegley may publish in the future.
Co-authors
The 5 scholars most cited alongside Jeff Wiegley, 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 | 2002 | 181 | |
| 2 | 2000 | 90 | |
| 3 | 1997 | 47 | |
| 4 | 2002 | 32 | |
| 5 | 2002 | 23 | |
| 6 | 1995 | 10 | |
| 7 | 2001 | 6 | |
| 8 | 2005 | 5 | |
| 9 | 2008 | 1 | |
| 10 | 2007 | 1 | |
| 11 | 2020 | 1 |
About Jeff Wiegley
Jeff Wiegley is a scholar working on Control and Systems Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering, Building and Construction and Computer Networks and Communications, having authored 11 papers that have together received 397 indexed citations. Recurring topics across this work include Robotics and Automated Systems (4 papers), Teleoperation and Haptic Systems (4 papers), Robot Manipulation and Learning (3 papers), Innovations in Concrete and Construction Materials (2 papers), Manufacturing Process and Optimization (2 papers), Optimization and Packing Problems (1 paper), Optimization and Search Problems (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Control and Systems Engineering (256 citations), Mechanical Engineering (244 citations), Computer Vision and Pattern Recognition (113 citations), Human-Computer Interaction (29 citations) and Media Technology (32 citations). Jeff Wiegley has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Ken Goldberg, Anil V. Rao, John Noga, P.D. Smith and Wolfgang Bein. Their work appears in journals such as IEEE Robotics & Automation Magazine, Assembly Automation, SHILAP Revista de lepidopterología, ACM SIGCSE Bulletin and The MIT Press eBooks.
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.