Nathan Koenig
Impact in
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- Robotic Path Planning Algorithms
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- Robot Manipulation and Learning
- Robotics and Automated Systems
Papers in
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- Robot Manipulation and Learning 4
- Robotics and Automated Systems 2
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- Reinforcement Learning in Robotics 3
- AI-based Problem Solving and Planning 2
- Machine Learning and Algorithms 2
- Co-authors
- A. Howard (1 shared paper)Maja J. Matarić (7 shared papers)David Feil-Seifer (1 shared paper)Matthew A. Diemer (1 shared paper)Leila Takayama (3 shared papers)Sonia Chernova (1 shared paper)Matthew Loper (1 shared paper)Odest Chadwicke Jenkins (1 shared paper)
- Journals
- Neural Networks (1 paper)Autonomous Robots (1 paper)Cultural Diversity & Ethnic Minority Psychology (1 paper)Computing in Science & Engineering (1 paper)National Conference on Artificial Intelligence (3 papers)
- Partner nations
- United StatesNigeria
In The Last Decade
Nathan Koenig
13 papers receiving 2.4k citations
Nathan Koenig's Hit Papers
Peers
Comparison fields: 5 of 119
- Computer Vision and Pattern Recognition 1.1k
- Control and Systems Engineering 777
- Aerospace Engineering 760
- Automotive Engineering 205
- Computer Science Applications 89
Countries citing papers authored by Nathan Koenig
This map shows the geographic impact of Nathan Koenig'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 Nathan Koenig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathan Koenig more than expected).
Fields of papers citing papers by Nathan Koenig
This network shows the impact of papers produced by Nathan Koenig. 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 Nathan Koenig. The network helps show where Nathan Koenig may publish in the future.
Co-authors
The 10 scholars most cited alongside Nathan Koenig, 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 | Design and use paradigms for gazebo, an open-source multi-robot simulator Hit paper breakdown → | 2005 | 2186 |
| 2 | 2006 | 99 | |
| 3 | Materials for Enabling Hands-On Robotics and STEM Education | 2007 | 91 |
| 4 | 2009 | 39 | |
| 5 | 2010 | 26 | |
| 6 | 2016 | 26 | |
| 7 | Behavior-Based Segmentation of Demonstrated Task | 2006 | 22 |
| 8 | 2007 | 12 | |
| 9 | 2017 | 8 | |
| 10 | Demonstration-Based Behavior and Task Learning | 2006 | 5 |
| 11 | Communication and Knowledge Sharing in Human-Robot Interaction and Learning from Demonstration | 2010 | 2 |
| 12 | Learning from Demonstration: Communication and Policy Generation | 2010 | 1 |
| 13 | Training wheels for the robot: Learning from demonstration using simulation | 2012 | 1 |
| 14 | 2025 | 0 |
About Nathan Koenig
Nathan Koenig is a scholar working on Control and Systems Engineering, Artificial Intelligence, Social Psychology, Computer Vision and Pattern Recognition and Aerospace Engineering, having authored 14 papers that have together received 2.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (4 papers), Reinforcement Learning in Robotics (3 papers), AI-based Problem Solving and Planning (2 papers), Machine Learning and Algorithms (2 papers), Robotics and Automated Systems (2 papers), Action Observation and Synchronization (2 papers), Robotics and Sensor-Based Localization (2 papers) and Youth Development and Social Support (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Control and Systems Engineering (777 citations), Aerospace Engineering (760 citations), Automotive Engineering (205 citations) and Computer Science Applications (89 citations). Nathan Koenig has collaborated with scholars based in United States and Nigeria. Frequent co-authors include A. Howard, Maja J. Matarić, David Feil-Seifer, Matthew A. Diemer, Leila Takayama, Sonia Chernova, Matthew Loper, Odest Chadwicke Jenkins, Kimberly Hambuchen and Robert Ambrose. Their work appears in journals such as Neural Networks, Autonomous Robots, Cultural Diversity & Ethnic Minority Psychology, Computing in Science & Engineering and National Conference on Artificial Intelligence.
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.