Cameron K. Peterson

409 total citations
32 papers, 296 citations indexed

About

Cameron K. Peterson is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Cameron K. Peterson has authored 32 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Aerospace Engineering, 14 papers in Computer Vision and Pattern Recognition and 13 papers in Computer Networks and Communications. Recurrent topics in Cameron K. Peterson's work include Distributed Control Multi-Agent Systems (10 papers), Robotic Path Planning Algorithms (10 papers) and Target Tracking and Data Fusion in Sensor Networks (8 papers). Cameron K. Peterson is often cited by papers focused on Distributed Control Multi-Agent Systems (10 papers), Robotic Path Planning Algorithms (10 papers) and Target Tracking and Data Fusion in Sensor Networks (8 papers). Cameron K. Peterson collaborates with scholars based in United States, China and Sweden. Cameron K. Peterson's co-authors include Derek A. Paley, Mattias Ohlsson, Anders Lundin, Andrew Newman, Randal W. Beard, Julie R. Palmer, Puneet Jain, James C. Spall, Steven A. Rasmussen and Satyanarayana G. Manyam and has published in prestigious journals such as Soft Matter, Journal of Guidance Control and Dynamics and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Cameron K. Peterson

29 papers receiving 295 citations

Peers

Cameron K. Peterson
Comparison fields: 5 of 60
  • Computer Networks and Communications 148
  • Aerospace Engineering 114
  • Control and Systems Engineering 98
  • Computer Vision and Pattern Recognition 64
  • Artificial Intelligence 53
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Junzhi Yu China
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Miguel S. Suárez-Castañón Mexico
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Citations per field, relative to Cameron K. Peterson
Cameron K. Peterson · 1×
Citations per year, relative to Cameron K. Peterson
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Countries citing papers authored by Cameron K. Peterson

Since Specialization
Citations

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

Fields of papers citing papers by Cameron K. Peterson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron K. Peterson. 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 Cameron K. Peterson. The network helps show where Cameron K. Peterson may publish in the future.

Co-authorship network of co-authors of Cameron K. Peterson

This figure shows the co-authorship network connecting the top 25 collaborators of Cameron K. Peterson. A scholar is included among the top collaborators of Cameron K. Peterson 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 Cameron K. Peterson. Cameron K. Peterson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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14 3
15 2
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17 11
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Automated interpretation of myocardial SPECT perfusion images using artificial neural networks.
30

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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