Rupert Brooks

22 papers receiving 287 citations

Peers

Rupert Brooks
Comparison fields: 5 of 66
  • Radiology, Nuclear Medicine and Imaging 98
  • Computer Vision and Pattern Recognition 97
  • Health Informatics 5
  • Radiation 22
  • Artificial Intelligence 67
Replace Davood Karimi with:
Davood Karimi United States
Jun Xia China
Laquan Li China
Tobias Gass Switzerland
Florian Link Germany
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Nooshin Ghavami United Kingdom
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Countries citing papers authored by Rupert Brooks

Since Specialization
Citations

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

Fields of papers citing papers by Rupert Brooks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 202076
3 201220
4 202218
5 201216
6 200811
7 20099
8 20128
9 20098
10 20177
11
On the limits of cross-domain generalization in automated X-ray prediction
20205
12 20085
13 20045
14 20084
15 20074
16 20064
17 20204
18 20134
19
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays.
20212
20
Fast image alignment using anytime algorithms
20072

About Rupert Brooks

Rupert Brooks is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Aerospace Engineering and Biomedical Engineering, having authored 23 papers that have together received 290 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), Advanced Image and Video Retrieval Techniques (7 papers), AI in cancer detection (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Vision and Imaging (4 papers), Medical Imaging Techniques and Applications (3 papers), COVID-19 diagnosis using AI (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (98 citations), Computer Vision and Pattern Recognition (97 citations), Health Informatics (5 citations), Radiation (22 citations) and Artificial Intelligence (67 citations). Rupert Brooks has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Hassan Rivaz, Mina Amiri, Tal Arbel, Denis Laroche, Guy Godin, David B. Clarke, Sujoy Ghosh Hajra, D. Louis Collins, Xavier Morandi and Robert DiRaddo. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, International Journal of Computer Vision, Radiology Artificial Intelligence and International Journal of Computer Assisted Radiology and Surgery.

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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