Samuel Prentice
Impact in
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- Robotic Path Planning Algorithms
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Aerospace Engineering top 2%
- Robotics and Sensor-Based Localization
Papers in
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- Robotics and Sensor-Based Localization 8
- UAV Applications and Optimization 1
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- Robotic Path Planning Algorithms 7
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 1
- Co-authors
- Nicholas Roy (5 shared papers)Abraham Bachrach (5 shared papers)Ruijie He (5 shared papers)Nicholas Roy (3 shared papers)Markus Achtelik (1 shared paper)Albert S. Huang (1 shared paper)Daniel Maturana (1 shared paper)Peter H. Henry (1 shared paper)
- Journals
- The International Journal of Robotics Research (3 papers)Springer tracts in advanced robotics (1 paper)Journal of Field Robotics (1 paper)IEEE Robotics and Automation Letters (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Samuel Prentice
8 papers receiving 896 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 661
- Aerospace Engineering 742
- Geology 96
- Ocean Engineering 107
- Control and Systems Engineering 127
Countries citing papers authored by Samuel Prentice
This map shows the geographic impact of Samuel 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 Samuel Prentice with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Prentice more than expected).
Fields of papers citing papers by Samuel Prentice
This network shows the impact of papers produced by Samuel 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 Samuel Prentice. The network helps show where Samuel Prentice may publish in the future.
Co-authors
The 20 scholars most cited alongside Samuel 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 | 2011 | 242 | |
| 2 | 2009 | 228 | |
| 3 | 2009 | 217 | |
| 4 | 2012 | 137 | |
| 5 | 2010 | 66 | |
| 6 | 2009 | 40 | |
| 7 | 2025 | 2 | |
| 8 | 2012 | 1 | |
| 9 | 2016 | 0 |
About Samuel Prentice
Samuel Prentice is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Geology, Computer Networks and Communications and Building and Construction, having authored 9 papers that have together received 933 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (7 papers), Distributed Control Multi-Agent Systems (2 papers), Advanced Vision and Imaging (2 papers), 3D Surveying and Cultural Heritage (1 paper), UAV Applications and Optimization (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper) and Video Surveillance and Tracking Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (661 citations), Aerospace Engineering (742 citations), Geology (96 citations), Ocean Engineering (107 citations) and Control and Systems Engineering (127 citations). Samuel Prentice has collaborated with scholars based in United States and Sweden. Frequent co-authors include Nicholas Roy, Abraham Bachrach, Ruijie He, Nicholas Roy, Markus Achtelik, Albert S. Huang, Daniel Maturana, Peter H. Henry, Michael Krainin and Dieter Fox. Their work appears in journals such as The International Journal of Robotics Research, Springer tracts in advanced robotics, Journal of Field Robotics, IEEE Robotics and Automation Letters and Lecture notes in computer science.
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.