Honda Research Institute, USA
Impact in
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- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Face recognition and analysis
- Automotive Engineering top 5%
- Autonomous Vehicle Technology and Safety
Papers in
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- Autonomous Vehicle Technology and Safety 88
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- Robotic Path Planning Algorithms 37
- Top scholars
- Ambarish GoswamiMing–Hsuan YangJongwoo LimAvetik R. HarutyunyanDavid A. RossKikuo FujimuraTing HeDavid Kriegman
- Journals
- IEEE Robotics and Automation Letters (18 papers)Applied Physics Letters (8 papers)The International Journal of Robotics Research (6 papers)ACS Nano (6 papers)Autonomous Robots (6 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Honda Research Institute, USA
588 papers receiving 27.7k citations
Peers
Comparison fields: 5 of 171
- Computer Vision and Pattern Recognition 7.9k
- Automotive Engineering 2.5k
- Biomedical Engineering 4.3k
- Renewable Energy, Sustainability and the Environment 1.9k
- Catalysis 425
Countries citing scholars working at Honda Research Institute, USA
This map shows the geographic impact of research produced by authors working at Honda Research Institute, USA. 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 papers produced at Honda Research Institute, USA with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honda Research Institute, USA more than expected).
Fields of papers published by authors at Honda Research Institute, USA
This network shows the impact of papers affiliated with Honda Research Institute, USA at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Honda Research Institute, USA at the time of their publication.
About Honda Research Institute, USA
In recent decades, authors affiliated with Honda Research Institute, USA have published 626 papers, which have received a total of 27.8k indexed citations . Scholars at this organization have produced 99 papers in Automotive Engineering, 151 papers in Computer Vision and Pattern Recognition, 97 papers in Social Psychology, 84 papers in Control and Systems Engineering and 82 papers in Artificial Intelligence on the topics of Autonomous Vehicle Technology and Safety (88 papers), Human-Automation Interaction and Safety (68 papers), Robotic Path Planning Algorithms (37 papers), Robotic Locomotion and Control (36 papers), Reinforcement Learning in Robotics (34 papers), Social Robot Interaction and HRI (32 papers), Carbon Nanotubes in Composites (30 papers) and Electrocatalysts for Energy Conversion (30 papers). Their work is cited by papers focused on Computer Vision and Pattern Recognition (7.9k citations), Automotive Engineering (2.5k citations), Biomedical Engineering (4.3k citations), Renewable Energy, Sustainability and the Environment (1.9k citations) and Catalysis (425 citations). Authors at Honda Research Institute, USA collaborate with scholars in United States, China and Japan and have published in prestigious journals including IEEE Robotics and Automation Letters, Applied Physics Letters, The International Journal of Robotics Research, ACS Nano and Autonomous Robots. Some of Honda Research Institute, USA's most productive authors include Ambarish Goswami, Ming–Hsuan Yang, Jongwoo Lim, Avetik R. Harutyunyan, David A. Ross, Kikuo Fujimura, Ting He, David Kriegman, Victor Ng‐Thow‐Hing and Gugang Chen.
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.