Eric Kolve
Impact in
- Artificial Intelligence top 1%
- Reinforcement Learning in Robotics
- AI-based Problem Solving and Planning
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Robotic Path Planning Algorithms
Papers in
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- Reinforcement Learning in Robotics 6
- Topic Modeling 1
- Domain Adaptation and Few-Shot Learning 1
- Artificial Intelligence in Games 1
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- Multimodal Machine Learning Applications 3
- Handwritten Text Recognition Techniques 1
- Co-authors
- Ali Farhadi (7 shared papers)Roozbeh Mottaghi (5 shared papers)Li Fei-Fei (2 shared papers)Abhinav Kirti Gupta (2 shared papers)Yuke Zhu (2 shared papers)Joseph J. Lim (1 shared paper)Aniruddha Kembhavi (8 shared papers)Luca Weihs (5 shared papers)
- Journals
- Lecture notes in computer science (3 papers)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (1 paper)Conference on Empirical Methods in Natural Language Processing (EMNLP) (1 paper)IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (3 papers)neural information processing systems (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Eric Kolve
10 papers receiving 1.7k citations
Eric Kolve's Hit Papers
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 1.1k
- Computer Vision and Pattern Recognition 531
- Control and Systems Engineering 265
- Automotive Engineering 79
- Aerospace Engineering 194
Countries citing papers authored by Eric Kolve
This map shows the geographic impact of Eric Kolve'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 Eric Kolve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Kolve more than expected).
Fields of papers citing papers by Eric Kolve
This network shows the impact of papers produced by Eric Kolve. 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 Eric Kolve. The network helps show where Eric Kolve may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Kolve, 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 | Target-driven visual navigation in indoor scenes using deep reinforcement learning Hit paper breakdown → | 2017 | 1117 |
| 2 | 2020 | 158 | |
| 3 | 2016 | 152 | |
| 4 | 2017 | 86 | |
| 5 | 2022 | 80 | |
| 6 | 2021 | 61 | |
| 7 | 2019 | 46 | |
| 8 | 2020 | 29 | |
| 9 | 2022 | 27 | |
| 10 | 2021 | 4 |
About Eric Kolve
Eric Kolve is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (6 papers), Multimodal Machine Learning Applications (3 papers), Robot Manipulation and Learning (3 papers), Topic Modeling (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Artificial Intelligence in Games (1 paper) and Handwritten Text Recognition Techniques (1 paper). The work is most often cited by research in Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (531 citations), Control and Systems Engineering (265 citations), Automotive Engineering (79 citations) and Aerospace Engineering (194 citations). Eric Kolve has collaborated with scholars based in United States and South Korea. Frequent co-authors include Ali Farhadi, Roozbeh Mottaghi, Li Fei-Fei, Abhinav Kirti Gupta, Yuke Zhu, Joseph J. Lim, Aniruddha Kembhavi, Luca Weihs, Eli VanderBilt and Winson Han. Their work appears in journals such as Lecture notes in computer science, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings, Conference on Empirical Methods in Natural Language Processing (EMNLP), IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings and neural information processing systems.
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.