John Sauter

47 papers receiving 581 citations

Peers

John Sauter
Comparison fields: 5 of 106
  • Computer Networks and Communications 271
  • Artificial Intelligence 218
  • Industrial and Manufacturing Engineering 66
  • Computer Vision and Pattern Recognition 124
  • Management of Technology and Innovation 39
Replace Zhou Ming-tian with:
Zhou Ming-tian China
Joaquin Sitte Australia
Francesco Ricca Italy
Nicolas Meuleau United States
Ashraf Osman Ibrahim Malaysia
Muhammad Nadzir Marsono Malaysia
John Mylopoulos Canada
Huahu Xu China
Radim Jiroušek Czechia
Ugur Kuter United States
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Citations per field
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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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005105
2 200250
3 200347
4 200243
5 197838
6 199633
7 199929
8 200625
9 200924
10 198723
11 200520
12
Distributed Component-Centered Design as Agent-Based Distributed Constraint Optimization
199817
13 200516
14 200814
15
Synthetic Pheromone Mechanisms for Coordination of Unmanned Vehicles
200213
16 199913
17 200712
18 200312
19
Ants in the supply chain
199911
20 197811

About John Sauter

John Sauter is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Aerospace Engineering, General Health Professions and Artificial Intelligence, having authored 51 papers that have together received 688 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (12 papers), Robotic Path Planning Algorithms (11 papers), Aging, Elder Care, and Social Issues (7 papers), Hermeneutics and Narrative Identity (7 papers), Health, Medicine and Society (7 papers), UAV Applications and Optimization (6 papers), Evolutionary Game Theory and Cooperation (5 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Computer Networks and Communications (271 citations), Artificial Intelligence (218 citations), Industrial and Manufacturing Engineering (66 citations), Computer Vision and Pattern Recognition (124 citations) and Management of Technology and Innovation (39 citations). John Sauter has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include H. Van Dyke Parunak, Sven Brueckner, Robert Matthews, William E.M. Lands, Geoffrey W. Stone, James Odell, John Moody, M. Renuka Prasad, Andrew Ward and Allen C. Ward. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans, Physica A Statistical Mechanics and its Applications, Analytical Biochemistry and Computers & Industrial Engineering.

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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