Ken Conley
- Control and Systems Engineering top 10%
- Robotics and Automated Systems 2
- Aerospace Engineering top 10%
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- Semiconductor materials and devices 3
- Semiconductor Lasers and Optical Devices 2
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- Advanced Data Storage Technologies 3
- Constraint Satisfaction and Optimization 2
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- Multi-Agent Systems and Negotiation 2
- AI-based Problem Solving and Planning 1
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- Modular Robots and Swarm Intelligence 1
- Co-authors
- Brian GerkeySteve CousinsBart PeintnerMelinda GervasioNeil Yorke‐SmithTomás E. UribeJonathan P. PearceKen Takeuchi
- Cited by
- Computer Vision and Pattern RecognitionControl and Systems EngineeringAerospace Engineering
- Journals
- IEEE Robotics & Automation Magazine (2 papers)IEEE Journal of Solid-State Circuits (1 paper)2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315) (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Ken Conley
9 papers receiving 323 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 121
- Control and Systems Engineering 106
- Aerospace Engineering 90
- Geology 19
- Human-Computer Interaction 17
Countries citing papers authored by Ken Conley
This map shows the geographic impact of Ken Conley'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 Ken Conley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Conley more than expected).
Fields of papers citing papers by Ken Conley
This network shows the impact of papers produced by Ken Conley. 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 Ken Conley. The network helps show where Ken Conley may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Ken Conley, 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 | 2011 | 8 | |
| 2 | Robot Developer Kits | 2011 | 2 |
| 3 | 2010 | 253 | |
| 4 | Sharing software with ROS | 2010 | 18 |
| 5 | 2006 | 6 | |
| 6 | 2006 | 35 | |
| 7 | 2005 | 2 | |
| 8 | 2003 | 2 | |
| 9 | 2002 | 15 |
About Ken Conley
Ken Conley is a scholar working on Computer Networks and Communications, Information Systems and Management, Control and Systems Engineering, Computational Theory and Mathematics and Artificial Intelligence, having authored 9 papers that have together received 341 indexed citations. Recurring topics across this work include Semiconductor materials and devices (3 papers), Advanced Data Storage Technologies (3 papers), Multi-Agent Systems and Negotiation (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Constraint Satisfaction and Optimization (2 papers), Robotics and Automated Systems (2 papers), Modular Robots and Swarm Intelligence (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (121 citations), Control and Systems Engineering (106 citations), Aerospace Engineering (90 citations), Geology (19 citations) and Human-Computer Interaction (17 citations). Ken Conley has collaborated with scholars based in Japan and United States. Frequent co-authors include Brian Gerkey, Steve Cousins, Bart Peintner, Melinda Gervasio, Neil Yorke‐Smith, Tomás E. Uribe, Jonathan P. Pearce, Ken Takeuchi, K.N. Quader and Milind Tambe. Their work appears in journals such as IEEE Robotics & Automation Magazine, IEEE Journal of Solid-State Circuits and 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315).
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.