S.A. Stoeter

31 papers receiving 710 citations

Peers

S.A. Stoeter
Comparison fields: 5 of 59
  • Computer Vision and Pattern Recognition 308
  • Computer Networks and Communications 250
  • Control and Systems Engineering 219
  • Mechanical Engineering 302
  • Aerospace Engineering 197
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Jason Campbell United States
Ernesto Fábregas Spain
David Saldaña United States
Marsette Vona United States
Luca Consolini Italy
Morikazu Takegaki Japan
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Patrick Xavier United States
B.E. Bishop United States
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Countries citing papers authored by S.A. Stoeter

Since Specialization
Citations

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

Fields of papers citing papers by S.A. Stoeter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.A. Stoeter. 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 S.A. Stoeter. The network helps show where S.A. Stoeter may publish in the future.

Co-authors

The 24 scholars most cited alongside S.A. Stoeter, 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 S.A. Stoeter Line = papers co-authored together S.A. Stoeter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002107
2 200076
3 200270
4 200655
5 200354
6 200053
7 200546
8 200234
9 200229
10 200428
11 201226
12 200224
13 200422
14 200219
15 200418
16 200318
17 200317
18 200614
19
A Robot Team for Exploration and Surveillance: Design and Architecture
200011
20 20047

About S.A. Stoeter

S.A. Stoeter is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Computer Networks and Communications, Aerospace Engineering and Control and Systems Engineering, having authored 33 papers that have together received 768 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (16 papers), Robotic Path Planning Algorithms (15 papers), Robotics and Sensor-Based Localization (9 papers), Distributed Control Multi-Agent Systems (8 papers), Advanced Vision and Imaging (5 papers), Real-Time Systems Scheduling (4 papers), Robotic Locomotion and Control (4 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (308 citations), Computer Networks and Communications (250 citations), Control and Systems Engineering (219 citations), Mechanical Engineering (302 citations) and Aerospace Engineering (197 citations). S.A. Stoeter has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Nikos Papanikolopoulos, Paul E. Rybski, Maria Gini, Dean F. Hougen, Nikolaos Papanikolopoulos, Donald G. Krantz, Michael D. Erickson, Richard M. Voyles, K.B. Yesin and Bradley J. Nelson. Their work appears in journals such as IEEE Robotics & Automation Magazine, Robotics and Autonomous Systems, IEEE Transactions on Robotics, Journal of Intelligent & Robotic Systems and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

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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