David C. Munson

974 citations
37 papers · 712 · h-index 13

Impact in

Papers in

David C. Munson

36 papers receiving 654 citations

Peers

David C. Munson
Comparison fields: 5 of 86
  • Media Technology 121
  • Computer Vision and Pattern Recognition 254
  • Aerospace Engineering 298
  • Acoustics and Ultrasonics 6
  • Computational Mechanics 112
Replace Frédéric Champagnat with:
Frédéric Champagnat France
Xiaojian Xu United States
P.T. Gough New Zealand
Liu Guosui China
Weibo Huo China
I.D. Longstaff Australia
M.D. Desai United States
Jifang Pei China
Andriyan Bayu Suksmono Indonesia
C. Cafforio Italy
David C. Munson relative to Frédéric Champagnat France Frédéric Champagnat's profile →
Citations per field
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Frédéric Champagnat · 1×
Citations per year

Countries citing papers authored by David C. Munson

Since Specialization
Citations

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

Fields of papers citing papers by David C. Munson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside David C. Munson, 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 David C. Munson Line = papers co-authored together David C. Munson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987145
2 2007134
3 199952
4 199647
5 198638
6 198634
7 199832
8 201225
9 200124
10 201322
11 200018
12 200214
13 200212
14 200112
15 200812
16 199611
17 200210
18 200810
19 200210
20 20109

About David C. Munson

David C. Munson is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering, Media Technology and Computational Mechanics, having authored 37 papers that have together received 712 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (16 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (11 papers), Microwave Imaging and Scattering Analysis (7 papers), Image Processing Techniques and Applications (6 papers), Image and Signal Denoising Methods (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Advanced X-ray Imaging Techniques (3 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Media Technology (121 citations), Computer Vision and Pattern Recognition (254 citations), Aerospace Engineering (298 citations), Acoustics and Ultrasonics (6 citations) and Computational Mechanics (112 citations). David C. Munson has collaborated with scholars based in United States, Israel and India. Frequent co-authors include Alan C. Bovik, Thomas S. Huang, N. Minh, R. L. Morrison, Kuang-Hung Liu, Ami Wiesel, Hyeokho Choi, Ronald A. Stack, Daniel L. Marks and David J. Brady. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Imaging Systems and Technology, Optical Engineering, Pattern Recognition and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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