Sam Prentice
Impact in
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- Robotic Path Planning Algorithms
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Aerospace Engineering top 5%
- Robotics and Sensor-Based Localization
Papers in
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- Robotic Path Planning Algorithms 3
- Face and Expression Recognition 2
- Advanced Image and Video Retrieval Techniques 1
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- Robotics and Sensor-Based Localization 3
- Biomimetic flight and propulsion mechanisms 2
- Co-authors
- Nicholas Roy (2 shared papers)Ruijie He (2 shared papers)T. Serre (2 shared papers)Tomaso Poggio (2 shared papers)Bernd Heisele (2 shared papers)Nicholas Roy (3 shared papers)Kristian Kersting (2 shared papers)Wolfram Burgard (2 shared papers)
- Journals
- Springer tracts in advanced robotics (3 papers)Pattern Recognition (1 paper)Journal of Field Robotics (1 paper)WORLD SCIENTIFIC eBooks (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Sam Prentice
9 papers receiving 513 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 350
- Aerospace Engineering 255
- Control and Systems Engineering 105
- Artificial Intelligence 132
- Media Technology 26
Countries citing papers authored by Sam Prentice
This map shows the geographic impact of Sam Prentice'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 Sam Prentice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Prentice more than expected).
Fields of papers citing papers by Sam Prentice
This network shows the impact of papers produced by Sam Prentice. 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 Sam Prentice. The network helps show where Sam Prentice may publish in the future.
Co-authors
The 16 scholars most cited alongside Sam Prentice, 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 | 2008 | 181 | |
| 2 | 2003 | 141 | |
| 3 | 2010 | 67 | |
| 4 | 2008 | 59 | |
| 5 | 2009 | 34 | |
| 6 | 2009 | 30 | |
| 7 | Reliable Dynamic Motions for a Stiff Quadruped. | 2008 | 19 |
| 8 | 2009 | 9 | |
| 9 | 2005 | 6 |
About Sam Prentice
Sam Prentice is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Biomedical Engineering, Artificial Intelligence and Media Technology, having authored 9 papers that have together received 546 indexed citations. Recurring topics across this work include Robotic Locomotion and Control (4 papers), Robotics and Sensor-Based Localization (3 papers), Robotic Path Planning Algorithms (3 papers), Face and Expression Recognition (2 papers), Biomimetic flight and propulsion mechanisms (2 papers), Prosthetics and Rehabilitation Robotics (2 papers), Gaussian Processes and Bayesian Inference (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (350 citations), Aerospace Engineering (255 citations), Control and Systems Engineering (105 citations), Artificial Intelligence (132 citations) and Media Technology (26 citations). Sam Prentice has collaborated with scholars based in United States and Germany. Frequent co-authors include Nicholas Roy, Ruijie He, T. Serre, Tomaso Poggio, Bernd Heisele, Nicholas Roy, Kristian Kersting, Wolfram Burgard, Christian Plagemann and Russ Tedrake. Their work appears in journals such as Springer tracts in advanced robotics, Pattern Recognition, Journal of Field Robotics, WORLD SCIENTIFIC eBooks and DSpace@MIT (Massachusetts Institute of Technology).
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.