S.A. Stoeter

36 papers receiving 806 citations

Peers

S.A. Stoeter
Comparison fields: 5 of 60
  • Computer Vision and Pattern Recognition 358
  • Computer Networks and Communications 292
  • Control and Systems Engineering 245
  • Mechanical Engineering 345
  • Aerospace Engineering 223
Replace Jason Campbell with:
Jason Campbell United States
David Saldaña United States
Ernesto Fábregas Spain
Marsette Vona United States
Fenglei Ni China
Luca Consolini Italy
Tiago Nascimento Brazil
Krzysztof Kozłowski Poland
Seiichi Shin Japan
Morikazu Takegaki Japan
S.A. Stoeter relative to Jason Campbell United States Jason Campbell's profile →
Citations per field
00.5×2×2.9×
Jason Campbell · 1×
Citations per year

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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002116
2 200083
3 200278
4 200064
5 200361
6 200657
7 200549
8 200235
9 200233
10 200430
11 200229
12 201226
13 200423
14 200222
15 200319
16 200418
17 200318
18 200017
19
A Robot Team for Exploration and Surveillance: Design and Architecture
200014
20 200614

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 38 papers that have together received 869 indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (19 papers), Robotic Path Planning Algorithms (18 papers), Distributed Control Multi-Agent Systems (10 papers), Robotics and Sensor-Based Localization (10 papers), Advanced Vision and Imaging (6 papers), Real-Time Systems Scheduling (5 papers), Robotic Locomotion and Control (4 papers) and Robot Manipulation and Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (358 citations), Computer Networks and Communications (292 citations), Control and Systems Engineering (245 citations), Mechanical Engineering (345 citations) and Aerospace Engineering (223 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, Michael D. Erickson, Donald G. Krantz, Richard M. Voyles, Bradley J. Nelson and K.B. Yesin. Their work appears in journals such as IEEE Robotics & Automation Magazine, Robotics and Autonomous Systems, The International Journal of Robotics Research, IEEE Transactions on Robotics and Automation and Journal of Intelligent & Robotic Systems.

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.

Explore authors with similar magnitude of impact