Donald E. Catlin

9 papers receiving 230 citations

Peers

Donald E. Catlin
Comparison fields: 5 of 71
  • Artificial Intelligence 80
  • Control and Systems Engineering 49
  • Computational Theory and Mathematics 31
  • Statistical and Nonlinear Physics 22
  • Algebra and Number Theory 8
Replace W. Vetter with:
W. Vetter Canada
Lee W. Johnson United States
Richard D. Neidinger United States
G. Sidhu Canada
Ralph Deutsch United States
W. R. Bennett Japan
H. L. Garabedian United States
A. B. Stephens United States
J. F. Barrett United Kingdom
Andrew Mitchell United Kingdom
Donald E. Catlin relative to W. Vetter Canada W. Vetter's profile →
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Countries citing papers authored by Donald E. Catlin

Since Specialization
Citations

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

Fields of papers citing papers by Donald E. Catlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donald E. Catlin. 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 Donald E. Catlin. The network helps show where Donald E. Catlin may publish in the future.

Co-authors

The 9 scholars most cited alongside Donald E. Catlin, 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 Donald E. Catlin Line = papers co-authored together Donald E. Catlin links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1989168
2 197047
3 196819
4 19918
5 19805
6 19715
7 19713
8 19843
9 19681

About Donald E. Catlin

Donald E. Catlin is a scholar working on Computational Theory and Mathematics, Control and Systems Engineering, Artificial Intelligence, Mathematical Physics and Geometry and Topology, having authored 9 papers that have together received 259 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (3 papers), Advanced Algebra and Logic (3 papers), AI-based Problem Solving and Planning (2 papers), Fault Detection and Control Systems (2 papers), Control Systems and Identification (2 papers), Inertial Sensor and Navigation (1 paper), Advanced Control Systems Optimization (1 paper) and Spectral Theory in Mathematical Physics (1 paper). The work is most often cited by research in Artificial Intelligence (80 citations), Control and Systems Engineering (49 citations), Computational Theory and Mathematics (31 citations), Statistical and Nonlinear Physics (22 citations) and Algebra and Number Theory (8 citations). Donald E. Catlin has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Efraim P. Armendariz, Sherman K. Stein, J. S. Gupta, J. D. Maitland Wright, Ethan D. Bolker, Norman Levine, Azriel Lévy, Abraham Waksman and Paul R. Meyer. Their work appears in journals such as Proceedings of the American Mathematical Society, IEEE Transactions on Automatic Control, IEEE Transactions on Aerospace and Electronic Systems, International Journal of Theoretical Physics and American Mathematical Monthly.

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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