Paul van Diest
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Cancer Research
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Arjan J. GrootMarc VooijsEelke GortGeert LitjensMarcory van DijkCarla WautersQuirine F. MansonRob Vogels
- Topics
- AI in cancer detection (1 paper)Radiomics and Machine Learning in Medical Imaging (1 paper)Genetic factors in colorectal cancer (1 paper)
- Partner nations
- NetherlandsItalyGermany
In The Last Decade
Paul van Diest
4 papers receiving 343 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 186
- Radiology, Nuclear Medicine and Imaging 127
- Molecular Biology 101
- Cancer Research 92
- Computer Vision and Pattern Recognition 81
Countries citing papers authored by Paul van Diest
This map shows the geographic impact of Paul van Diest'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 Paul van Diest with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul van Diest more than expected).
Fields of papers citing papers by Paul van Diest
This network shows the impact of papers produced by Paul van Diest. 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 Paul van Diest. The network helps show where Paul van Diest may publish in the future.
Co-authorship network of co-authors of Paul van Diest
This figure shows the co-authorship network connecting the top 25 collaborators of Paul van Diest. A scholar is included among the top collaborators of Paul van Diest based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul van Diest. Paul van Diest is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 216 | |
| 3 | 24 | |
| 4 | 99 |
About Paul van Diest
Paul van Diest is a scholar working on Biophysics, Cancer Research and Biotechnology, having authored 4 papers that have together received 349 indexed citations. Recurring topics across this work include AI in cancer detection (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper) and Genetic factors in colorectal cancer (1 paper). The work is most often cited by research in Health Informatics (13 citations), Biophysics (48 citations) and Cancer Research (92 citations). Paul van Diest has collaborated with scholars based in Netherlands, Italy and Germany. Frequent co-authors include Arjan J. Groot, Marc Vooijs, Eelke Gort, Geert Litjens, Marcory van Dijk, Carla Wauters, Quirine F. Manson, Rob Vogels, Alexi Baidoshvili and Peter Bult. Their work appears in journals such as Current Molecular Medicine, OncoTargets and Therapy and GigaScience.
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.