Matthew Cooper

7.1k citations
181 papers · 3.7k indexed · h-index 33

Impact in

Papers in

Matthew Cooper

171 papers receiving 3.5k citations

Peers

Matthew Cooper
Comparison fields: 5 of 175
  • Rehabilitation 502
  • Computer Vision and Pattern Recognition 915
  • Signal Processing 469
  • Hematology 370
  • Computer Science Applications 158
Replace Anne Lynn S. Chang with:
Anne Lynn S. Chang United States
Xiang Chen China
Rui Cai China
Andreas Möller Australia
Yugyung Lee United States
Ioannis S. Vlachos Greece
Jong Kim South Korea
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Stephen Clark United Kingdom
Lin Gui China
Matthew Cooper relative to Anne Lynn S. Chang United States Anne Lynn S. Chang's profile →
Citations per field
00.5×7.9×
Anne Lynn S. Chang · 1×
Citations per year

Countries citing papers authored by Matthew Cooper

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Cooper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202320
3 20232
4 20233
5 20230
6 20221
7 202115
8 202116
9 201866
10 20181
11 201732
12 2014181
13 200891
14
FXPAL Interactive Search Experiments for TRECVID 2007
200819
15
FXPAL at TRECVID 2005
20053
16
ProjectorBox: Seamless presentation capture for classrooms
200510
17
The role of local corticosteroid generation in inflammation-associated bone loss
20041
18
FXPAL Experiments for TRECVID 2004
200429
19
Simplifying the Management of Large Photo Collections.
200328
20 199128

About Matthew Cooper

Matthew Cooper is a scholar working on Computer Vision and Pattern Recognition, Hematology, Rehabilitation, Oncology and Signal Processing, having authored 181 papers that have together received 3.7k indexed citations. Recurring topics across this work include Video Analysis and Summarization (40 papers), CAR-T cell therapy research (40 papers), Advanced Image and Video Retrieval Techniques (25 papers), Immune Cell Function and Interaction (23 papers), Hematopoietic Stem Cell Transplantation (19 papers), Image Retrieval and Classification Techniques (17 papers), Multimedia Communication and Technology (15 papers) and Music and Audio Processing (14 papers). The work is most often cited by research in Rehabilitation (502 citations), Computer Vision and Pattern Recognition (915 citations), Signal Processing (469 citations), Hematology (370 citations) and Computer Science Applications (158 citations). Matthew Cooper has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jonathan Foote, John F. Hansbrough, John F. DiPersio, Andreas Girgensohn, Richard L. Spielvogel, Julie Ritchey, Lynn Wilcox, Jaebok Choi, John Adcock and R J Marsh. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Leukemia, Transplantation and Cellular Therapy and Journal of Investigative Dermatology.

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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