John Sauter

57 papers receiving 893 citations

Peers

John Sauter
Comparison fields: 5 of 115
  • Computer Networks and Communications 396
  • Artificial Intelligence 423
  • Industrial and Manufacturing Engineering 103
  • Management Information Systems 75
  • Computer Vision and Pattern Recognition 161
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Citations per field
00.5×2×2.9×
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Citations per year

Countries citing papers authored by John Sauter

Since Specialization
Citations

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

Fields of papers citing papers by John Sauter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005133
2 200570
3 200269
4 200267
5 200354
6 197847
7 200642
8 199939
9 199638
10 200430
11 200529
12 200528
13 199728
14 200926
15 200026
16 198724
17 199922
18 200321
19
Distributed Component-Centered Design as Agent-Based Distributed Constraint Optimization
199819
20
Synthetic Pheromone Mechanisms for Coordination of Unmanned Vehicles
200217

About John Sauter

John Sauter is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Management Science and Operations Research, Industrial and Manufacturing Engineering and Aerospace Engineering, having authored 61 papers that have together received 1.1k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (14 papers), Robotic Path Planning Algorithms (13 papers), Multi-Agent Systems and Negotiation (8 papers), Health, Medicine and Society (6 papers), UAV Applications and Optimization (6 papers), Hermeneutics and Narrative Identity (6 papers), Aging, Elder Care, and Social Issues (6 papers) and Modular Robots and Swarm Intelligence (5 papers). The work is most often cited by research in Computer Networks and Communications (396 citations), Artificial Intelligence (423 citations), Industrial and Manufacturing Engineering (103 citations), Management Information Systems (75 citations) and Computer Vision and Pattern Recognition (161 citations). John Sauter has collaborated with scholars based in United States, Singapore and Belgium. Frequent co-authors include H. Van Dyke Parunak, Sven Brueckner, Robert Matthews, William E.M. Lands, James Odell, Geoffrey W. Stone, Andrew M. Ward, John O. Moody, M. Renuka Prasad and Allen C. Ward. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Autonomous Agents and Multi-Agent Systems, Artificial intelligence for engineering design analysis and manufacturing, Computers & Industrial Engineering and Anesthesia & Analgesia.

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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