Gregory Kahn
Impact in
-
- Robotic Path Planning Algorithms
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
Papers in
-
- Robotics and Sensor-Based Localization 4
-
- Robotic Path Planning Algorithms 5
- Co-authors
- Pieter Abbeel (6 shared papers)Ken Goldberg (4 shared papers)Sachin Patil (5 shared papers)Sergey Levine (5 shared papers)Vijay Kumar (1 shared paper)Nathan Michael (1 shared paper)Benjamin Charrow (1 shared paper)Sikang Liu (1 shared paper)
- Journals
- IEEE Robotics and Automation Letters (1 paper)Springer tracts in advanced robotics (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United States
In The Last Decade
Gregory Kahn
11 papers receiving 381 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 196
- Aerospace Engineering 157
- Control and Systems Engineering 109
- Artificial Intelligence 102
- Geology 16
Countries citing papers authored by Gregory Kahn
This map shows the geographic impact of Gregory Kahn'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 Gregory Kahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory Kahn more than expected).
Fields of papers citing papers by Gregory Kahn
This network shows the impact of papers produced by Gregory Kahn. 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 Gregory Kahn. The network helps show where Gregory Kahn may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory Kahn, 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 | 2015 | 116 | |
| 2 | 2014 | 90 | |
| 3 | 2021 | 70 | |
| 4 | 2015 | 49 | |
| 5 | 2015 | 29 | |
| 6 | 2018 | 19 | |
| 7 | Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots. | 2017 | 10 |
| 8 | Cognitive Automation based Guidance and Operator Assistance for semi-autonomous Mission Accomplishment of the UAV Demonstrator SAGITTA | 2013 | 4 |
| 9 | 2016 | 3 | |
| 10 | Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots | 2021 | 1 |
| 11 | 2018 | 1 |
About Gregory Kahn
Gregory Kahn is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Control and Systems Engineering, having authored 11 papers that have together received 392 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (5 papers), Robotics and Sensor-Based Localization (4 papers), Reinforcement Learning in Robotics (3 papers), Robot Manipulation and Learning (3 papers), Soft Robotics and Applications (2 papers), Distributed Control Multi-Agent Systems (2 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Robotic Locomotion and Control (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (196 citations), Aerospace Engineering (157 citations), Control and Systems Engineering (109 citations), Artificial Intelligence (102 citations) and Geology (16 citations). Gregory Kahn has collaborated with scholars based in United States. Frequent co-authors include Pieter Abbeel, Ken Goldberg, Sachin Patil, Sergey Levine, Vijay Kumar, Nathan Michael, Benjamin Charrow, Sikang Liu, Rachel Li and Suneel Belkhale. Their work appears in journals such as IEEE Robotics and Automation Letters, Springer tracts in advanced robotics and arXiv (Cornell University).
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.