Colin B. Compas

2.0k citations
19 papers · 725 · 1 hit paper · h-index 9

Impact in

Papers in

Colin B. Compas

19 papers receiving 708 citations

Colin B. Compas's Hit Papers

A large language model for electronic health records 2022 · 488 citations
4880+1+2Years since publication100200300400

Peers

Colin B. Compas
Comparison fields: 5 of 102
  • Health Informatics 174
  • Health Information Management 50
  • Radiology, Nuclear Medicine and Imaging 187
  • Artificial Intelligence 226
  • Cardiology and Cardiovascular Medicine 104
Replace Víctor M. Campello with:
Víctor M. Campello Spain
Carlos Martín-Isla Spain
Saeed Seyyedi Germany
Vruddhi Shah India
Niels Olson United States
Esther Puyol‐Antón United Kingdom
Rayan Krishnan United States
Clara Mosquera-Lopez United States
Pranavsingh Dhunnoo Ireland
Edward Korot United Kingdom
Colin B. Compas relative to Víctor M. Campello Spain Víctor M. Campello's profile →
Citations per field
00.5×10×20×26×
Víctor M. Campello · 1×
Citations per year

Countries citing papers authored by Colin B. Compas

Since Specialization
Citations

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

Fields of papers citing papers by Colin B. Compas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1
A large language model for electronic health records
Hit paper breakdown →
2022488
2 201383
3 202430
4 201427
5 201415
6 201215
7 201712
8 201210
9 20158
10 20157
11 20145
12 20115
13 20155
14 20114
15 20114
16 20123
17 20132
18 20131
19 20141

About Colin B. Compas

Colin B. Compas is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Biomedical Engineering and Molecular Biology, having authored 19 papers that have together received 725 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Ultrasound Imaging and Elastography (7 papers), Advanced MRI Techniques and Applications (6 papers), Cardiac Valve Diseases and Treatments (6 papers), Elasticity and Material Modeling (4 papers), Cardiovascular Function and Risk Factors (3 papers), Medical Imaging Techniques and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Health Informatics (174 citations), Health Information Management (50 citations), Radiology, Nuclear Medicine and Imaging (187 citations), Artificial Intelligence (226 citations) and Cardiology and Cardiovascular Medicine (104 citations). Colin B. Compas has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Christopher Parisien, Gloria Lipori, Elizabeth Shenkman, William R. Hogan, Tanja Magoč, Duane A. Mitchell, Mona G. Flores, Jiang Bian, Xi Yang and Anthony Costa. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, npj Digital Medicine, Scientific Reports and Lecture notes in computer science.

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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