John S. Bay

1.6k citations
49 papers · 977 · h-index 14

Impact in

Papers in

John S. Bay

45 papers receiving 886 citations

Peers

John S. Bay
Comparison fields: 5 of 89
  • Control and Systems Engineering 369
  • Computer Networks and Communications 340
  • Computer Vision and Pattern Recognition 227
  • Aerospace Engineering 197
  • Mechanical Engineering 238
Replace Yan Wu with:
Yan Wu Singapore
Tony J. Dodd United Kingdom
David W. Payton United States
Daniel J. Pack United States
Howard M. Schwartz Canada
Richard J. Duro Spain
Qing Wu China
Ulrich Nehmzow United Kingdom
Fabio Morbidi Italy
H. R. Everett United States
John S. Bay relative to Yan Wu Singapore Yan Wu's profile →
Citations per field
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Citations per year

Countries citing papers authored by John S. Bay

Since Specialization
Citations

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

Fields of papers citing papers by John S. Bay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside John S. Bay, 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 S. Bay Line = papers co-authored together John S. Bay links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fundamentals of Linear State Space Systems
1998175
2 2007140
3 1987129
4 2002119
5 199947
6 199536
7 200135
8 201228
9 200226
10 199526
11 200224
12
Simulation study of multiple intelligent vehicle control using stochastic learning automata
199722
13 198918
14 198817
15 199712
16 199211
17 199111
18 201710
19 200210
20 20187

About John S. Bay

John S. Bay is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 49 papers that have together received 977 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (11 papers), Robot Manipulation and Learning (11 papers), Modular Robots and Swarm Intelligence (7 papers), Soft Robotics and Applications (6 papers), Robotic Mechanisms and Dynamics (5 papers), Optimization and Search Problems (4 papers), Distributed Control Multi-Agent Systems (4 papers) and Logic, Reasoning, and Knowledge (4 papers). The work is most often cited by research in Control and Systems Engineering (369 citations), Computer Networks and Communications (340 citations), Computer Vision and Pattern Recognition (227 citations), Aerospace Engineering (197 citations) and Mechanical Engineering (238 citations). John S. Bay has collaborated with scholars based in United States. Frequent co-authors include H. Hemami, Daniel J. Stilwell, D.N. Godbole, Tarıq Samad, C. Unsal, Pushkin Kachroo, Paul J. Johnson, Ferat Sahin, H.F. VanLandingham and N. Eva Wu. Their work appears in journals such as IEEE Control Systems, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), Proceedings of the IEEE and International Journal of Electrical Power & Energy 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.

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