Jennifer E. King
Impact in
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- Robotic Path Planning Algorithms
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- Robot Manipulation and Learning
- Robotic Mechanisms and Dynamics
Papers in
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- Robotic Path Planning Algorithms 9
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- Robot Manipulation and Learning 4
- Co-authors
- Siddhartha S Srinivasa (8 shared papers)Tamim Asfour (2 shared papers)Marco Cognetti (1 shared paper)Nancy S. Pollard (2 shared papers)Maxim Likhachev (1 shared paper)Aaron M. Johnson (2 shared papers)Prasanna Velagapudi (2 shared papers)Mehmet R. Doğar (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth) (1 paper)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)Springer proceedings in advanced robotics (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Jennifer E. King
10 papers receiving 251 citations
Peers
Comparison fields: 5 of 29
- Computer Vision and Pattern Recognition 182
- Control and Systems Engineering 190
- Artificial Intelligence 100
- Industrial and Manufacturing Engineering 22
- Aerospace Engineering 43
Countries citing papers authored by Jennifer E. King
This map shows the geographic impact of Jennifer E. King'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 Jennifer E. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer E. King more than expected).
Fields of papers citing papers by Jennifer E. King
This network shows the impact of papers produced by Jennifer E. King. 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 Jennifer E. King. The network helps show where Jennifer E. King may publish in the future.
Co-authors
The 12 scholars most cited alongside Jennifer E. King, 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 | 2016 | 50 | |
| 2 | 2015 | 43 | |
| 3 | 2015 | 43 | |
| 4 | 2013 | 39 | |
| 5 | 2015 | 24 | |
| 6 | 2017 | 24 | |
| 7 | 2016 | 21 | |
| 8 | 2009 | 15 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 3 |
About Jennifer E. King
Jennifer E. King is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Artificial Intelligence, Aerospace Engineering and Mechanical Engineering, having authored 10 papers that have together received 266 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (9 papers), Robot Manipulation and Learning (4 papers), Artificial Intelligence in Games (2 papers), AI-based Problem Solving and Planning (2 papers), Modular Robots and Swarm Intelligence (2 papers), Reinforcement Learning in Robotics (2 papers), Robotics and Sensor-Based Localization (2 papers) and Genome Rearrangement Algorithms (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (182 citations), Control and Systems Engineering (190 citations), Artificial Intelligence (100 citations), Industrial and Manufacturing Engineering (22 citations) and Aerospace Engineering (43 citations). Jennifer E. King has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Siddhartha S Srinivasa, Tamim Asfour, Marco Cognetti, Nancy S. Pollard, Maxim Likhachev, Aaron M. Johnson, Prasanna Velagapudi, Mehmet R. Doğar, Christopher M. Dellin and Matthew Klingensmith. Their work appears in journals such as IEEE Robotics and Automation Letters, MURAL - Maynooth University Research Archive Library (National University of Ireland, Maynooth), Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) and Springer proceedings in advanced robotics.
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.