Mark W. Koch

789 citations
34 papers · 535 · h-index 10

Impact in

Papers in

    • Advanced SAR Imaging Techniques 9
    • Robotics and Sensor-Based Localization 5
    • Synthetic Aperture Radar (SAR) Applications and Techniques 5
    • Advanced Image and Video Retrieval Techniques 6
    • Image and Object Detection Techniques 5
    • Face and Expression Recognition 4

Mark W. Koch

30 papers receiving 497 citations

Peers

Mark W. Koch
Comparison fields: 5 of 68
  • Computer Vision and Pattern Recognition 262
  • Media Technology 62
  • Signal Processing 70
  • Artificial Intelligence 209
  • Aerospace Engineering 97
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Citations per field
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Citations per year

Countries citing papers authored by Mark W. Koch

Since Specialization
Citations

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

Fields of papers citing papers by Mark W. Koch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark W. Koch. 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 Mark W. Koch. The network helps show where Mark W. Koch may publish in the future.

Co-authors

The 17 scholars most cited alongside Mark W. Koch, 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 Mark W. Koch Line = papers co-authored together Mark W. Koch links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
One-class classifier networks for target recognition applications
1993147
2 1987101
3 199557
4 200641
5 201037
6 200625
7 200517
8 198914
9 198914
10 200610
11
Statistical modeling of targets and clutter in single-look non-polarimetric SAR imagery
19989
12 20078
13
A Vision Architecture for Scale, Translation and Rotation Invariance
19907
14 20177
15 20157
16 20155
17 20043
18 20203
19 20153
20 19933

About Mark W. Koch

Mark W. Koch is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology and Ocean Engineering, having authored 34 papers that have together received 535 indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (9 papers), Neural Networks and Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (5 papers), Remote-Sensing Image Classification (5 papers), Image and Object Detection Techniques (5 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (5 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (262 citations), Media Technology (62 citations), Signal Processing (70 citations), Artificial Intelligence (209 citations) and Aerospace Engineering (97 citations). Mark W. Koch has collaborated with scholars based in United States. Frequent co-authors include Mary M. Moya, L.D. Hostetler, Rangasami L. Kashyap, Sean Andrew McKenna, R.L. Kashyap, Robert Schilling, R. B. White, John A. Richards, D. Hush and Sean A. McKenna. Their work appears in journals such as Journal of Water Resources Planning and Management, IEEE Transactions on Education, Pattern Recognition Letters, Neural Networks 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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