David B. Cooper

3.1k citations
102 papers · 2.1k indexed · h-index 24

Impact in

Papers in

David B. Cooper

98 papers receiving 1.9k citations

Peers

David B. Cooper
Comparison fields: 5 of 113
  • Space and Planetary Science 193
  • Computer Vision and Pattern Recognition 1.6k
  • Geology 272
  • Computer Graphics and Computer-Aided Design 134
  • Media Technology 177
Replace Fernand S. Cohen with:
Fernand S. Cohen United States
Giovanni Ramponi Italy
Przemysław Musialski Austria
Silvia Biasotti Italy
V. Cappellini Italy
Leo Dorst Netherlands
L. Paul Chew United States
Stefan Gumhold Germany
Enrico Magli Italy
Eli Saber United States
David B. Cooper relative to Fernand S. Cohen United States Fernand S. Cohen's profile →
Citations per field
00.5×5.2×
Fernand S. Cohen · 1×
Citations per year

Countries citing papers authored by David B. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by David B. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 201622
3 20124
4 20093
5 200713
6 20033
7 200341
8 20028
9 200060
10
Object recognition based on moment (or algebraic) invariants
199267
11 1987173
12 19868
13 1986125
14 198463
15 19832
16 198317
17 198217
18
Biomedical pattern recognition and image processing : report of the Dahlem Workshop on Biomedical Pattern Recognition and Image Processing, Berlin, 1979, May 14-18
19791
19 197938
20 196451

About David B. Cooper

David B. Cooper is a scholar working on Space and Planetary Science, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Geology and Computational Mechanics, having authored 102 papers that have together received 2.1k indexed citations. Recurring topics across this work include Image and Object Detection Techniques (42 papers), Image Processing and 3D Reconstruction (33 papers), Advanced Vision and Imaging (24 papers), Robotics and Sensor-Based Localization (22 papers), Medical Image Segmentation Techniques (13 papers), Advanced Numerical Analysis Techniques (12 papers), 3D Surveying and Cultural Heritage (11 papers) and Image Retrieval and Classification Techniques (11 papers). The work is most often cited by research in Space and Planetary Science (193 citations), Computer Vision and Pattern Recognition (1.6k citations), Geology (272 citations), Computer Graphics and Computer-Aided Design (134 citations) and Media Technology (177 citations). David B. Cooper has collaborated with scholars based in United States, France and Argentina. Frequent co-authors include Fernand S. Cohen, Ruud M. Bolle, Andrew Willis, D. Keren, Gabriel Taubin, J. Subrahmonia, Meir Barzohar, Jean‐Philippe Tarel, Zhibin Lei and Tolga Taşdizen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory, IEEE Signal Processing Magazine, International Journal of Automotive Technology and IEEE Transactions on Image 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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