D. H. Cooper

10.8k citations
40 papers · 7.1k indexed · 2 hit papers · h-index 19
Topics
Image Retrieval and Classification Techniques (7 papers)Medical Image Segmentation Techniques (6 papers)Image and Object Detection Techniques (5 papers)

In The Last Decade

D. H. Cooper

39 papers receiving 6.5k citations

Hit Papers

Active Shape Models-Their Training and Application19942026200420151995199410002.0k3.0k4.0k

Peers

D. H. Cooper
Comparison fields: 5 of 191
  • Computer Vision and Pattern Recognition 3.9k
  • Biomedical Engineering 900
  • Pharmacology 695
  • Radiology, Nuclear Medicine and Imaging 654
  • Artificial Intelligence 561
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D. H. Cooper relative to Iain Matthews United States Iain Matthews's profile →
Citations per field
00.5×7.1×
Iain Matthews · 1×
Citations per year

Countries citing papers authored by D. H. Cooper

Since Specialization
Citations

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

Fields of papers citing papers by D. H. Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. H. Cooper

This figure shows the co-authorship network connecting the top 25 collaborators of D. H. Cooper. A scholar is included among the top collaborators of D. H. Cooper based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. H. Cooper. D. H. Cooper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 36
4
Some theoretical considerations of 'engaged scholarship' and 'use-oriented research' at a new university in South Africa : the Vaal University of Technology
2
5 15
6 15
7 3
8 44
9 79
10
Active Shape Models-Their Training and Applicationbreakdown →
4845
11
Evidence of Lumbar Multifidus Muscle Wasting Ipsilateral to Symptoms in Patients with Acute/Subacute Low Back Painbreakdown →
714
12
Mechanism of human paraspinal muscle wasting with acute low back pain
2
13 122
14 13
15 40
16 7
17 86
18 9
19 107
20 24

About D. H. Cooper

D. H. Cooper is a scholar working on Computer Vision and Pattern Recognition, Developmental and Educational Psychology and Music, having authored 40 papers that have together received 7.1k indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (7 papers), Medical Image Segmentation Techniques (6 papers) and Image and Object Detection Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Signal Processing (513 citations) and Developmental and Educational Psychology (552 citations). D. H. Cooper has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include Chris Taylor, T.F. Cootes, James Graham, María Stokes, Julie A. Hides, Deborah L. Speece, Gwendolen Jull, Froma P. Roth, Rune J. Simeonsson and Albert P. Scheiner. Their work appears in journals such as The Journal of Physiology, PEDIATRICS and Spine.

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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