Jim Winkens
Impact in
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- Advanced Neural Network Applications
Papers in
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- Radiomics and Machine Learning in Medical Imaging 1
- Retinal Imaging and Analysis 1
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- Digital Imaging for Blood Diseases 1
- Co-authors
- Melvyn R. W. Hamstra (1 shared paper)Jasper Linmans (1 shared paper)Bastiaan S. Veeling (1 shared paper)Taco Cohen (1 shared paper)Max Welling (1 shared paper)Terry Spitz (1 shared paper)Tiarnán D L Keenan (1 shared paper)Joseph R. Ledsam (1 shared paper)
- Journals
- Investigative Ophthalmology & Visual Science (1 paper)Scandinavian Journal of Psychology (1 paper)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Jim Winkens
3 papers receiving 13 citations
Peers
Comparison fields: 5 of 18
- Computer Vision and Pattern Recognition 7
- Computer Graphics and Computer-Aided Design 1
- Radiology, Nuclear Medicine and Imaging 5
- Biophysics 1
- Developmental and Educational Psychology 2
Countries citing papers authored by Jim Winkens
This map shows the geographic impact of Jim Winkens'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 Jim Winkens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Winkens more than expected).
Fields of papers citing papers by Jim Winkens
This network shows the impact of papers produced by Jim Winkens. 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 Jim Winkens. The network helps show where Jim Winkens may publish in the future.
Co-authors
The 18 scholars most cited alongside Jim Winkens, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Improved Semantic Segmentation for Histopathology using Rotation Equivariant Convolutional Networks | 2018 | 9 |
| 2 | 2023 | 3 | |
| 3 | Quantitative analysis of change in retinal tissues in neovascular age-related macular degeneration using artificial intelligence | 2020 | 1 |
About Jim Winkens
Jim Winkens is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 13 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper), Retinal Imaging and Analysis (1 paper), AI in cancer detection (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (7 citations), Computer Graphics and Computer-Aided Design (1 citation), Radiology, Nuclear Medicine and Imaging (5 citations), Biophysics (1 citation) and Developmental and Educational Psychology (2 citations). Jim Winkens has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Melvyn R. W. Hamstra, Jasper Linmans, Bastiaan S. Veeling, Taco Cohen, Max Welling, Terry Spitz, Tiarnán D L Keenan, Joseph R. Ledsam, Gabriella Moraes and Praveen J. Patel. Their work appears in journals such as Investigative Ophthalmology & Visual Science and Scandinavian Journal of Psychology.
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.