Samuel Prentice

1.1k citations
7 papers · 814 indexed · h-index 6

Samuel Prentice

6 papers receiving 778 citations

Peers

Samuel Prentice
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 568
  • Aerospace Engineering 649
  • Geology 82
  • Ocean Engineering 99
  • Control and Systems Engineering 113
Replace Ruijie He with:
Ruijie He United States
Felix Ruess Germany
Titus Cieslewski Switzerland
Philipp Lutz Germany
Michael Watterson United States
Yufeng Yue China
Shaowu Yang China
Christoforos Kanellakis Sweden
Michael Achtelik Germany
Slawomir Grzonka Germany
Samuel Prentice relative to Ruijie He United States Ruijie He's profile →
Citations per field
00.5×1.5×
Ruijie He · 1×
Citations per year

Countries citing papers authored by Samuel Prentice

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

The 16 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.

Border = papers with Samuel Prentice Line = papers co-authored together Samuel Prentice links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 20250
2 2012120
3 2011217
4 201059
5 200935
6 2009201
7 2009182

About Samuel Prentice

Samuel Prentice is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering, having authored 7 papers that have together received 814 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (7 papers), Robotic Path Planning Algorithms (6 papers), Advanced Vision and Imaging (2 papers), Indoor and Outdoor Localization Technologies (1 paper), Video Surveillance and Tracking Methods (1 paper), Target Tracking and Data Fusion in Sensor Networks (1 paper) and Distributed Control Multi-Agent Systems (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (568 citations), Aerospace Engineering (649 citations), Geology (82 citations), Ocean Engineering (99 citations) and Control and Systems Engineering (113 citations). Samuel Prentice has collaborated with scholars based in United States. Frequent co-authors include Nicholas Roy, Ruijie He, Abraham Bachrach, Nicholas Roy, Markus Achtelik, Dieter Fox, Michael Krainin, Peter Henry, Albert S. Huang and Daniel Maturana. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters, Journal of Field Robotics and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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.

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