Rob van de Loo
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- AI in cancer detection 3
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- Digital Imaging for Blood Diseases 1
- Medical Image Segmentation Techniques 1
- Co-authors
- Geert Litjens (4 shared papers)Jeroen van der Laak (4 shared papers)Péter Bándi (3 shared papers)Peter Bult (2 shared papers)Maschenka Balkenhol (2 shared papers)Bram van Ginneken (2 shared papers)Rob Vogels (1 shared paper)Altuna Halilović (1 shared paper)
- Journals
- Journal of Clinical Pathology (1 paper)Scientific Reports (1 paper)The Breast (1 paper)GigaScience (1 paper)
- Partner nations
- NetherlandsGermanySweden
In The Last Decade
Rob van de Loo
5 papers receiving 373 citations
Peers
Comparison fields: 5 of 47
- Health Informatics 24
- Biophysics 71
- Artificial Intelligence 297
- Radiology, Nuclear Medicine and Imaging 212
- Computer Vision and Pattern Recognition 126
Countries citing papers authored by Rob van de Loo
This map shows the geographic impact of Rob van de Loo'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 Rob van de Loo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob van de Loo more than expected).
Fields of papers citing papers by Rob van de Loo
This network shows the impact of papers produced by Rob van de Loo. 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 Rob van de Loo. The network helps show where Rob van de Loo may publish in the future.
Co-authors
The 25 scholars most cited alongside Rob van de Loo, 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 | 2018 | 216 | |
| 2 | 2019 | 101 | |
| 3 | 2017 | 29 | |
| 4 | 2021 | 24 | |
| 5 | 2017 | 9 |
About Rob van de Loo
Rob van de Loo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 5 papers that have together received 379 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer-related gene regulation (1 paper), Digital Imaging for Blood Diseases (1 paper), Breast Cancer Treatment Studies (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Health Informatics (24 citations), Biophysics (71 citations), Artificial Intelligence (297 citations), Radiology, Nuclear Medicine and Imaging (212 citations) and Computer Vision and Pattern Recognition (126 citations). Rob van de Loo has collaborated with scholars based in Netherlands, Germany and Sweden. Frequent co-authors include Geert Litjens, Jeroen van der Laak, Péter Bándi, Peter Bult, Maschenka Balkenhol, Bram van Ginneken, Rob Vogels, Altuna Halilović, Nikolas Stathonikos and Quirine F. Manson. Their work appears in journals such as Journal of Clinical Pathology, Scientific Reports, The Breast 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.