Gregory Kahn
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 10%
- Biomedical Engineering
- Control and Systems Engineering top 10%
- Artificial Intelligence
- Co-authors
- Sachin PatilPieter AbbeelKen GoldbergSergey LevineBenjamin CharrowNathan MichaelSikang LiuVijay Kumar
- Topics
- Robotic Path Planning Algorithms (4 papers)Robot Manipulation and Learning (3 papers)Robotics and Sensor-Based Localization (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionAerospace EngineeringControl and Systems Engineering
- Journals
- IEEE Robotics and Automation LettersarXiv (Cornell University)
- Partner nations
- United States
In The Last Decade
Gregory Kahn
10 papers receiving 312 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 157
- Aerospace Engineering 128
- Biomedical Engineering 90
- Control and Systems Engineering 84
- Artificial Intelligence 68
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-authorship network of co-authors of Gregory Kahn
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory Kahn. A scholar is included among the top collaborators of Gregory Kahn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregory Kahn. Gregory Kahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots | 1 |
| 2 | 67 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots. | 7 |
| 6 | 3 | |
| 7 | 28 | |
| 8 | 109 | |
| 9 | 86 | |
| 10 | Cognitive Automation based Guidance and Operator Assistance for semi-autonomous Mission Accomplishment of the UAV Demonstrator SAGITTA | 5 |
About Gregory Kahn
Gregory Kahn is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 10 papers that have together received 321 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (4 papers), Robot Manipulation and Learning (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Aerospace Engineering (128 citations) and Control and Systems Engineering (84 citations). Gregory Kahn has collaborated with scholars based in United States. Frequent co-authors include Sachin Patil, Pieter Abbeel, Ken Goldberg, Sergey Levine, Benjamin Charrow, Nathan Michael, Sikang Liu, Vijay Kumar, Suneel Belkhale and Rachel Li. Their work appears in journals such as IEEE Robotics and Automation Letters 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.