David Marden

1.0k citations
11 papers · 787 · 1 hit paper · h-index 9

Impact in

Papers in

David Marden

11 papers receiving 753 citations

David Marden's Hit Papers

Hyperspectral Image Processing for Automatic Target Detection Applications 2003 · 588 citations
5880+7+15Years since publication100200300400500

Peers

David Marden
Comparison fields: 5 of 81
  • Media Technology 637
  • Analytical Chemistry 144
  • Atmospheric Science 258
  • Aerospace Engineering 210
  • Computer Vision and Pattern Recognition 149
Replace Scott G. Beaven with:
Scott G. Beaven United States
Lawrence E. Hoff United States
Nicola Acito Italy
Jean–Yves Tourneret France
Emmett J. Ientilucci United States
Joseph Meola United States
Heng-Chao Li China
Rob Heylen Belgium
Eric Truslow United States
Chein‐I Chang United States
David Marden relative to Scott G. Beaven United States Scott G. Beaven's profile →
Citations per field
00.5×1.5×2.2×
Scott G. Beaven · 1×
Citations per year

Countries citing papers authored by David Marden

Since Specialization
Citations

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

Fields of papers citing papers by David Marden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside David Marden, 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 Marden Line = papers co-authored together David Marden links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
Hyperspectral Image Processing for Automatic Target Detection Applications
Hit paper breakdown →
2003588
2 200339
3 200132
4
On the Statistics of Hyperspectral Imaging Data
200130
5 200430
6 200319
7 200117
8 199716
9 19928
10 20046
11 20022

About David Marden

David Marden is a scholar working on Media Technology, Analytical Chemistry, Artificial Intelligence, Pediatrics, Perinatology and Child Health and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 787 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (8 papers), Spectroscopy and Chemometric Analyses (4 papers), Geochemistry and Geologic Mapping (3 papers), Optical and Acousto-Optic Technologies (2 papers), Neonatal and fetal brain pathology (2 papers), Advanced Statistical Methods and Models (1 paper), Remote Sensing in Agriculture (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Media Technology (637 citations), Analytical Chemistry (144 citations), Atmospheric Science (258 citations), Aerospace Engineering (210 citations) and Computer Vision and Pattern Recognition (149 citations). David Marden has collaborated with scholars based in United States. Frequent co-authors include Dimitris G. Manolakis, Gary A. Shaw, John P. Kerekes, Robert S. McDuffie, Richard G. Allen and Thomas H. Strong. Their work appears in journals such as American Journal of Obstetrics and Gynecology and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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