Barrett Heyneman
Impact in
- Surfaces, Coatings and Films top 5%
- Mechanics of Materials top 2%
- Adhesion, Friction, and Surface Interactions
Papers in
-
- Robot Manipulation and Learning 5
-
- Tactile and Sensory Interactions 4
- Co-authors
- Mark R. CutkoskySangbae KimS. TrujilloMatthew SpenkoDaniel SantosVirgilio MattoliNoé EsparzaDaniel M. Aukes
- Journals
- The International Journal of Robotics Research (2 papers)IEEE Transactions on Robotics (1 paper)Proceedings - IEEE International Conference on Robotics and Automation/Proceedings (1 paper)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (2 papers)
- Partner nations
- United StatesCanada
In The Last Decade
Barrett Heyneman
12 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Surfaces, Coatings and Films 155
- Mechanics of Materials 464
- Biomedical Engineering 766
- Control and Systems Engineering 351
- Mechanical Engineering 386
Countries citing papers authored by Barrett Heyneman
This map shows the geographic impact of Barrett Heyneman'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 Barrett Heyneman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barrett Heyneman more than expected).
Fields of papers citing papers by Barrett Heyneman
This network shows the impact of papers produced by Barrett Heyneman. 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 Barrett Heyneman. The network helps show where Barrett Heyneman may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Barrett Heyneman, 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 | 2015 | 52 | |
| 2 | 2014 | 6 | |
| 3 | 2014 | 132 | |
| 4 | 2013 | 14 | |
| 5 | 2012 | 19 | |
| 6 | 2011 | 2 | |
| 7 | 2011 | 24 | |
| 8 | 2010 | 2 | |
| 9 | 2009 | 78 | |
| 10 | 2008 | 75 | |
| 11 | Smooth Vertical Surface Climbing With Directional Adhesion Hit paper breakdown → | 2008 | 530 |
| 12 | 2007 | 208 |
About Barrett Heyneman
Barrett Heyneman is a scholar working on Control and Systems Engineering, Cognitive Neuroscience, Biomedical Engineering, Mechanics of Materials and Surfaces, Coatings and Films, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (5 papers), Soft Robotics and Applications (5 papers), Force Microscopy Techniques and Applications (4 papers), Adhesion, Friction, and Surface Interactions (4 papers), Tactile and Sensory Interactions (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Muscle activation and electromyography studies (2 papers) and Gear and Bearing Dynamics Analysis (2 papers). The work is most often cited by research in Surfaces, Coatings and Films (155 citations), Mechanics of Materials (464 citations), Biomedical Engineering (766 citations), Control and Systems Engineering (351 citations) and Mechanical Engineering (386 citations). Barrett Heyneman has collaborated with scholars based in United States and Canada. Frequent co-authors include Mark R. Cutkosky, Sangbae Kim, S. Trujillo, Matthew Spenko, Daniel Santos, Virgilio Mattoli, Noé Esparza, Daniel M. Aukes, Hannah S. Stuart and Hanna Kim. Their work appears in journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics, Proceedings - IEEE International Conference on Robotics and Automation/Proceedings and 2011 IEEE/RSJ International Conference on Intelligent Robots and 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.