David W. Payton

1.6k total citations
24 papers, 923 citations indexed

About

David W. Payton is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Mechanical Engineering. According to data from OpenAlex, David W. Payton has authored 24 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 7 papers in Mechanical Engineering. Recurrent topics in David W. Payton's work include Robotic Path Planning Algorithms (8 papers), Modular Robots and Swarm Intelligence (7 papers) and AI-based Problem Solving and Planning (5 papers). David W. Payton is often cited by papers focused on Robotic Path Planning Algorithms (8 papers), Modular Robots and Swarm Intelligence (7 papers) and AI-based Problem Solving and Planning (5 papers). David W. Payton collaborates with scholars based in United States. David W. Payton's co-authors include David M. Keirsey, Mike Daily, Michael D. Howard, J.K. Rosenblatt, Craig Lee, H. Hoffmann, Joseph S. B. Mitchell, Thomas E. Bihari, Youngkwan Cho and Jimmy Krozel and has published in prestigious journals such as Scientific Reports, Communications of the ACM and ACM Computing Surveys.

In The Last Decade

David W. Payton

23 papers receiving 817 citations

Peers

Countries citing papers authored by David W. Payton

Since Specialization

Citations

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

Fields of papers citing papers by David W. Payton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David W. Payton. 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 David W. Payton. The network helps show where David W. Payton may publish in the future.

Co-authorship network of co-authors of David W. Payton

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Payton. A scholar is included among the top collaborators of David W. Payton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David W. Payton. David W. Payton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Hypercolumn Sparsification for Low-Power Convolutional Neural Networks 2019 ·ACM Journal on Emerging Technologies in Computing Systems ·Praveen K. Pilly, Nigel Stepp, (unknown), David W. Payton, Narayan Srinivasa	3
2	Optimization by Self-Organized Criticality 2018 ·Scientific Reports ·H. Hoffmann, David W. Payton	36
3	Suppressing cascades in a self-organized-critical model with non-contiguous spread of failures 2014 ·Chaos Solitons & Fractals ·H. Hoffmann, David W. Payton	12
4	Further Explorations of a Minimal Polychronous Memory 2010 ·International Conference on Artificial Intelligence ·Michael D. Howard, Mike Daily, David W. Payton, Yang Chen, (unknown)	2
5	A Fine-Grained Alternative to the Subsumption Architecture for Mobile Robot Control 2007 ·J.K. Rosenblatt, David W. Payton	7
6	Quantitative evaluation methodology for dynamic, Web-based collaboration tools 2004 ·(unknown), David W. Payton, Mike Daily	5
7	World embedded interfaces for human-robot interaction 2003 ·Mike Daily, Youngkwan Cho, (unknown), David W. Payton	42
8	Coalitions for distributed sensor fusion 2003 ·Michael D. Howard, David W. Payton, (unknown)	4
9	Autonomous cross-country navigation with the ALV 2003 ·Mike Daily, J.G. Harris, David M. Keirsey, (unknown), David W. Payton, Karen M. Reiser, J.K. Rosenblatt, David Tseng, Vicky Wong	43
10	Compound behaviors in pheromone robotics 2003 ·Robotics and Autonomous Systems ·David W. Payton, (unknown), Michael D. Howard	52
11	<title>Pheromone robotics</title> 2001 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·David W. Payton, (unknown), Bruce Hoff, Michael D. Howard, (unknown)	9
12	Dynamic collaborator discovery in information intensive environments 1999 ·ACM Computing Surveys ·David W. Payton, Mike Daily, (unknown)	9
13	Discovering Collaborators by Analyzing Trails Through an Information Space 1998 ·David W. Payton	5
14	Do whatever works: A robust approach to fault-tolerant autonomous control 1992 ·Applied Intelligence ·David W. Payton, David M. Keirsey, (unknown), Jimmy Krozel, J.K. Rosenblatt	47
15	Intelligent real-time control of robotic vehicles 1991 ·Communications of the ACM ·David W. Payton, Thomas E. Bihari	27
16	Internalized plans: A representation for action resources 1990 ·Robotics and Autonomous Systems ·David W. Payton	82
17	Plan guided reaction 1990 ·IEEE Transactions on Systems Man and Cybernetics ·David W. Payton, J.K. Rosenblatt, David M. Keirsey	128
18	Planning and reasoning for autonomous vehicle control 1987 ·International Journal of Intelligent Systems ·Joseph S. B. Mitchell, David W. Payton, David M. Keirsey	40
19	An architecture for reflexive autonomous vehicle control 1986 ·David W. Payton	141
20	Multilevel Path Planning For Autonomous Vehicles 1984 ·Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·David M. Keirsey, Joseph S. B. Mitchell, David W. Payton, (unknown)	13

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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