Samuel Barrett

1.4k citations
36 papers · 594 indexed · h-index 13

Impact in

Papers in

Samuel Barrett

36 papers receiving 553 citations

Peers

Samuel Barrett
Comparison fields: 5 of 97
  • Artificial Intelligence 298
  • Archeology 8
  • Computer Vision and Pattern Recognition 132
  • Management Science and Operations Research 71
  • Energy Engineering and Power Technology 16
Replace Helbert Espitia with:
Helbert Espitia Colombia
K. C. Ramya India
Meng Wan China
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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-authorship network

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
#Work
1 20242
2 20216
3 201638
4 201510
5 20157
6 20141
7 201410
8 201412
9 201333
10 201213
11 201212
12
Learning Teammate Models for Ad Hoc Teamwork
201211
13 201163
14 20117
15
Controlled Kicking under Uncertainty
20104
16 200822
17
Modeling a parallel L4 neuron array of the fly (Musca domestica) vision system with a sequential processor.
20021
18
Development of an integrated automated retinal surgical laser system.
19965
19 199414
20
On the use of coherence functions to evaluate sources of dynamic excitation
19794

About Samuel Barrett

Samuel Barrett is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Ophthalmology, Management Science and Operations Research and Software, having authored 36 papers that have together received 594 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (14 papers), Multi-Agent Systems and Negotiation (10 papers), Robotic Path Planning Algorithms (5 papers), Robotic Locomotion and Control (5 papers), Neurobiology and Insect Physiology Research (3 papers), Artificial Intelligence in Games (3 papers), Logic, Reasoning, and Knowledge (2 papers) and Glaucoma and retinal disorders (2 papers). The work is most often cited by research in Artificial Intelligence (298 citations), Archeology (8 citations), Computer Vision and Pattern Recognition (132 citations), Management Science and Operations Research (71 citations) and Energy Engineering and Power Technology (16 citations). Samuel Barrett has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Peter Stone, Sarit Kraus, Kala Meah, Avi Rosenfeld, Patrick MacAlpine, Cameron Wright, Noa Agmon, Xiaojun Qi, John D. Davis and Piyush Khandelwal. Their work appears in journals such as Bioinspiration & Biomimetics, Artificial Intelligence, IEEE Transactions on Biomedical Engineering, Clinical Radiology and Transactions of the Association for Computational Linguistics.

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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