Samuel Barrett

1.4k citations
43 papers · 726 · h-index 15

Impact in

Papers in

Samuel Barrett

40 papers receiving 680 citations

Peers

Samuel Barrett
Comparison fields: 5 of 93
  • Artificial Intelligence 381
  • Computer Vision and Pattern Recognition 165
  • Management Science and Operations Research 98
  • Archeology 8
  • Ophthalmology 52
Replace Diaa Salama AbdElminaam with:
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Rangel Arthur Brazil
Helbert Espitia Colombia
Amanpreet Kaur India
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Saraswathy Shamini Gunasekaran Malaysia
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Citations per field
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Citations per year

Countries citing papers authored by Samuel Barrett

Since Specialization
Citations

This map shows the geographic impact of Samuel Barrett'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 Barrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Barrett more than expected).

Fields of papers citing papers by Samuel Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Barrett. 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 Barrett. The network helps show where Samuel Barrett may publish in the future.

Co-authors

The 25 scholars most cited alongside Samuel Barrett, 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 Barrett Line = papers co-authored together Samuel Barrett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007111
2 201173
3 201551
4 201346
5 201646
6
Employing the Hough Transform to locate the optic disk.
200144
7 201339
8 201226
9
Material aspects of Pomo culture
198026
10 200823
11 200920
12 201218
13 201416
14 199415
15 201415
16 201413
17
Learning Teammate Models for Ad Hoc Teamwork
201213
18 202213
19 201511
20 201410

About Samuel Barrett

Samuel Barrett is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Biomedical Engineering, Management Science and Operations Research and Automotive Engineering, having authored 43 papers that have together received 726 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (18 papers), Multi-Agent Systems and Negotiation (10 papers), Robotic Path Planning Algorithms (9 papers), Artificial Intelligence in Games (6 papers), Robotic Locomotion and Control (5 papers), Neurobiology and Insect Physiology Research (3 papers), Simulation Techniques and Applications (3 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Artificial Intelligence (381 citations), Computer Vision and Pattern Recognition (165 citations), Management Science and Operations Research (98 citations), Archeology (8 citations) and Ophthalmology (52 citations). Samuel Barrett has collaborated with scholars based in United States, Israel and Jordan. Frequent co-authors include Peter Stone, Sarit Kraus, Kala Meah, Avi Rosenfeld, Patrick MacAlpine, Cameron Wright, Noa Agmon, Noam Hazon, Daniel Urieli and Piyush Khandelwal. Their work appears in journals such as Bioinspiration & Biomimetics, Transactions of the Association for Computational Linguistics, IEEE Transactions on Biomedical Engineering, International Journal of Intelligent Systems and Renewable and Sustainable Energy Reviews.

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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