Michael D. DeVore

548 citations
42 papers · 426 · h-index 10

Impact in

    • Advanced SAR Imaging Techniques
    • Synthetic Aperture Radar (SAR) Applications and Techniques
    • Infrared Target Detection Methodologies
    • Remote-Sensing Image Classification

Papers in

Michael D. DeVore

40 papers receiving 397 citations

Peers

Michael D. DeVore
Comparison fields: 5 of 70
  • Aerospace Engineering 267
  • Media Technology 45
  • Ocean Engineering 68
  • Computer Vision and Pattern Recognition 80
  • Computational Mathematics 2
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Citations per year

Countries citing papers authored by Michael D. DeVore

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. DeVore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. DeVore. 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 Michael D. DeVore. The network helps show where Michael D. DeVore may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael D. DeVore, 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 Michael D. DeVore Line = papers co-authored together Michael D. DeVore links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001157
2 200436
3 200034
4 201429
5 202023
6 200816
7 200513
8 200111
9 20229
10 20019
11 20009
12 20087
13 20055
14 20015
15 20074
16 20034
17 20094
18
Recognition performance from synthetic aperture radar imagery subject to system resource constraints
20014
19 20103
20 20083

About Michael D. DeVore

Michael D. DeVore is a scholar working on Aerospace Engineering, Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics, Probability and Uncertainty, having authored 42 papers that have together received 426 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (11 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (10 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Fault Detection and Control Systems (6 papers), Probabilistic and Robust Engineering Design (5 papers), Robotics and Sensor-Based Localization (3 papers), Risk and Safety Analysis (3 papers) and Sparse and Compressive Sensing Techniques (3 papers). The work is most often cited by research in Aerospace Engineering (267 citations), Media Technology (45 citations), Ocean Engineering (68 citations), Computer Vision and Pattern Recognition (80 citations) and Computational Mathematics (2 citations). Michael D. DeVore has collaborated with scholars based in United States and Brazil. Frequent co-authors include Joseph A. O’Sullivan, Michael I. Miller, Aaron D. Lanterman, Peter A. Beling, Michael Landau, John Schierman, Nathan D. Richards, Matthew Clark, Alec Bateman and Sabine Henry. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Guidance Control and Dynamics, Journal of Statistical Computation and Simulation, Sensors and Multidimensional Systems and Signal Processing.

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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