Christopher P. Bridge

52 papers receiving 1.1k citations

Christopher P. Bridge's Hit Papers

A review of deep learning for brain tumor analysis in MRI 2025 · 47 citations
470Years since publication10203040

Peers

Christopher P. Bridge
Comparison fields: 5 of 98
  • Health Informatics 78
  • Geriatrics and Gerontology 42
  • Radiology, Nuclear Medicine and Imaging 221
  • Physiology 188
  • Neurology 52
Replace Alexander D. Weston with:
Alexander D. Weston United States
Yu Sub Sung South Korea
Jan Sylwester Witowski Poland
Kenneth Fung United Kingdom
Mihir M. Sanghvi United Kingdom
Theresa Thai United States
Youngbin Shin South Korea
David Zopfs Germany
Shahein Tajmir United States
Martin Segeroth Switzerland
Christopher P. Bridge relative to Alexander D. Weston United States Alexander D. Weston's profile →
Citations per field
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Citations per year

Countries citing papers authored by Christopher P. Bridge

Since Specialization
Citations

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

Fields of papers citing papers by Christopher P. Bridge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher P. Bridge. 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 Christopher P. Bridge. The network helps show where Christopher P. Bridge may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020125
2 202084
3 202381
4 201762
5 201657
6 202257
7
A review of deep learning for brain tumor analysis in MRI
Hit paper breakdown →
202547
8 201741
9 202236
10 202431
11 202231
12 202331
13 202029
14 201729
15 202028
16 202125
17 202323
18 202323
19 202321
20 202219

About Christopher P. Bridge

Christopher P. Bridge is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics, Artificial Intelligence, Geriatrics and Gerontology and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), AI in cancer detection (9 papers), Artificial Intelligence in Healthcare and Education (8 papers), Nutrition and Health in Aging (6 papers), Advanced Neural Network Applications (5 papers), Advanced X-ray and CT Imaging (5 papers), Fetal and Pediatric Neurological Disorders (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Health Informatics (78 citations), Geriatrics and Gerontology (42 citations), Radiology, Nuclear Medicine and Imaging (221 citations), Physiology (188 citations) and Neurology (52 citations). Christopher P. Bridge has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include J. Alison Noble, C. Ioannou, Katherine P. Andriole, Florian Johannes Fintelmann, Michael Hayden Rosenthal, Kirti A. Magudia, Jayashree Kalpathy–Cramer, Camden Phillip Bay, Aris T. Papageorghiou and R. Napolitano. Their work appears in journals such as Radiology, Medical Image Analysis, Physics in Medicine and Biology, Journal of Imaging Informatics in Medicine and Physics and Imaging in Radiation Oncology.

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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