Rupert Brooks

691 citations
30 papers · 416 · h-index 11

Impact in

Papers in

Rupert Brooks

29 papers receiving 408 citations

Peers

Rupert Brooks
Comparison fields: 5 of 81
  • Computer Vision and Pattern Recognition 135
  • Radiology, Nuclear Medicine and Imaging 122
  • Geography, Planning and Development 26
  • Health Informatics 5
  • Signal Processing 33
Replace Aiden Nibali with:
Aiden Nibali Australia
Zhiqiang Yuan China
Manohar Karki United States
Olivier Rukundo Denmark
Jean Séqueira France
Yongzhi Wang China
Xinhua Cao United States
Lanyun Zhu China
Yong Yin China
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Citations per field
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Citations per year

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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202081
2 202081
3 200238
4 201924
5 201221
6 201920
7 202218
8 200718
9 201217
10 200812
11 200910
12 20129
13 20099
14 20179
15 20086
16 20046
17
On the limits of cross-domain generalization in automated X-ray prediction
20205
18 20084
19 20074
20 20064

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 30 papers that have together received 416 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Advanced Image and Video Retrieval Techniques (8 papers), AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers), Advanced Neural Network Applications (4 papers), Advanced Vision and Imaging (4 papers) and Advanced Radiotherapy Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (135 citations), Radiology, Nuclear Medicine and Imaging (122 citations), Geography, Planning and Development (26 citations), Health Informatics (5 citations) and Signal Processing (33 citations). Rupert Brooks has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Hassan Rivaz, Mina Amiri, R. C. Thomson, Tal Arbel, Brian Ghoshhajra, Varun Buch, Denis Laroche, Matthew C. Abramowitz, D. Louis Collins and David B. Clarke. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging, International Journal of Computer Vision, International Journal of Computer Assisted Radiology and Surgery and Computer Vision and Image Understanding.

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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