Gregory Kahn

3.3k citations
19 papers · 2.1k · 3 hit papers · h-index 16

Impact in

Papers in

Gregory Kahn

19 papers receiving 2k citations

Gregory Kahn's Hit Papers

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0 2024 · 94 citations
940+3+6Years since publication100200300400500

Peers

Gregory Kahn
Comparison fields: 5 of 78
  • Artificial Intelligence 1.1k
  • Control and Systems Engineering 474
  • Computer Vision and Pattern Recognition 342
  • Aerospace Engineering 334
  • Automotive Engineering 111
Replace Elia Kaufmann with:
Elia Kaufmann Switzerland
Marc Freese Japan
Issa Nesnas United States
William Melek Canada
Hongbin Ma China
Joydeep Biswas United States
Eric Rohmer Brazil
Aleksandra Faust United States
Tully B. Foote United States
Steve Macenski United States
Gregory Kahn relative to Elia Kaufmann Switzerland Elia Kaufmann's profile →
Citations per field
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Elia Kaufmann · 1×
Citations per year

Countries citing papers authored by Gregory Kahn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gregory Kahn Line = papers co-authored together Gregory Kahn links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
Hit paper breakdown →
2018506
2
Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search
Hit paper breakdown →
2016318
3 2018223
4 2021210
5 2015137
6 2014100
7
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration 0
Hit paper breakdown →
202494
8 201987
9 202180
10 201779
11 201556
12 202154
13 202145
14 201532
15 201820
16 201920
17
Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots.
201711
18 20165
19
Cognitive Automation based Guidance and Operator Assistance for semi-autonomous Mission Accomplishment of the UAV Demonstrator SAGITTA
20134

About Gregory Kahn

Gregory Kahn is a scholar working on Artificial Intelligence, Control and Systems Engineering, Biomedical Engineering, Computer Vision and Pattern Recognition and Social Psychology, having authored 19 papers that have together received 2.1k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), Robot Manipulation and Learning (3 papers), Robotic Locomotion and Control (2 papers), Robotic Path Planning Algorithms (2 papers), Military Strategy and Technology (1 paper), Robotics and Sensor-Based Localization (1 paper), Human-Automation Interaction and Safety (1 paper) and AI-based Problem Solving and Planning (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Control and Systems Engineering (474 citations), Computer Vision and Pattern Recognition (342 citations), Aerospace Engineering (334 citations) and Automotive Engineering (111 citations). Gregory Kahn has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Sergey Levine, Pieter Abbeel, Anusha Nagabandi, Ronald S. Fearing, Tianhao Zhang, Adam Villaflor, Sachin Patil, Ken Goldberg, Suneel Belkhale and Rowan McAllister. Their work appears in journals such as IEEE Robotics and Automation Letters, Springer tracts in advanced robotics, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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.

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