David D. Ferris

503 citations
37 papers · 381 · h-index 10

Impact in

Papers in

David D. Ferris

34 papers receiving 344 citations

Peers

David D. Ferris
Comparison fields: 5 of 50
  • Media Technology 95
  • Ocean Engineering 112
  • Aerospace Engineering 147
  • Biomedical Engineering 174
  • Computer Vision and Pattern Recognition 76
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Sang‐Hong Park South Korea
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Citations per field
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Citations per year

Countries citing papers authored by David D. Ferris

Since Specialization
Citations

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

Fields of papers citing papers by David D. Ferris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David D. Ferris, 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 D. Ferris Line = papers co-authored together David D. Ferris 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 1999111
2 199842
3 199830
4 200324
5 200315
6 200215
7 201314
8 199713
9 199612
10 20019
11 19979
12 20228
13 20028
14 19977
15 20006
16 20256
17 19975
18 20145
19 20225
20 19964

About David D. Ferris

David D. Ferris is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering, Computer Vision and Pattern Recognition, Media Technology and Biomedical Engineering, having authored 37 papers that have together received 381 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (10 papers), Terahertz technology and applications (9 papers), Advanced Image Fusion Techniques (6 papers), Microwave Imaging and Scattering Analysis (4 papers), Network Security and Intrusion Detection (4 papers), Image and Signal Denoising Methods (4 papers), Smart Grid Security and Resilience (4 papers) and Infrastructure Resilience and Vulnerability Analysis (3 papers). The work is most often cited by research in Media Technology (95 citations), Ocean Engineering (112 citations), Aerospace Engineering (147 citations), Biomedical Engineering (174 citations) and Computer Vision and Pattern Recognition (76 citations). David D. Ferris has collaborated with scholars based in United States and Türkiye. Frequent co-authors include Nicholas C. Currie, Mark Alford, Pramod K. Varshney, Michael C. Wicks, R. W. McMillan, Erik Blasch, Hua-Mei Chen, Mohamed Slamani, Alexander Aved and Raghuveer Rao. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Industry Applications, IEEE Transactions on Smart Grid, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and International Journal of Infrared and Millimeter Waves.

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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