André Huisman
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Artificial Intelligence top 2%
- AI in cancer detection
Papers in
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- Cell Image Analysis Techniques 6
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- AI in cancer detection 10
- Co-authors
- Paul J van Diest (18 shared papers)Shaimaa Al‐Janabi (6 shared papers)Mitko Veta (3 shared papers)Max A. Viergever (2 shared papers)Robert Kornegoor (2 shared papers)Josien P. W. Pluim (2 shared papers)Nikolas Stathonikos (1 shared paper)Fiebo J.W. ten Kate (4 shared papers)
- Journals
- Journal of Clinical Pathology (3 papers)Analytical Cellular Pathology (3 papers)Human Pathology (2 papers)Modern Pathology (1 paper)JCO Clinical Cancer Informatics (1 paper)
- Partner nations
- NetherlandsUnited States
In The Last Decade
André Huisman
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Biophysics 294
- Artificial Intelligence 866
- Health Informatics 31
- Radiology, Nuclear Medicine and Imaging 356
- Computer Vision and Pattern Recognition 363
Countries citing papers authored by André Huisman
This map shows the geographic impact of André Huisman'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 André Huisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites André Huisman more than expected).
Fields of papers citing papers by André Huisman
This network shows the impact of papers produced by André Huisman. 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 André Huisman. The network helps show where André Huisman may publish in the future.
Co-authors
The 25 scholars most cited alongside André Huisman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 318 | |
| 2 | 2011 | 302 | |
| 3 | 2013 | 134 | |
| 4 | 2010 | 98 | |
| 5 | 2011 | 76 | |
| 6 | 2011 | 75 | |
| 7 | 2012 | 70 | |
| 8 | 2012 | 58 | |
| 9 | 2015 | 41 | |
| 10 | 2005 | 36 | |
| 11 | 2012 | 36 | |
| 12 | 2006 | 33 | |
| 13 | 2014 | 30 | |
| 14 | 2014 | 24 | |
| 15 | 2019 | 20 | |
| 16 | 2005 | 7 | |
| 17 | Digital pathology for education. | 2012 | 4 |
| 18 | Discrimination between benign and malignant prostate biopsies using three-dimensional chromatin texture analysis by confocal laser scanning microscopy. | 2011 | 3 |
| 19 | 2007 | 2 | |
| 20 | 2009 | 1 |
About André Huisman
André Huisman is a scholar working on Biophysics, Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI in cancer detection (10 papers), Cell Image Analysis Techniques (6 papers), Digital Imaging for Blood Diseases (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Colorectal Cancer Screening and Detection (2 papers), Molecular Biology Techniques and Applications (2 papers), Prostate Cancer Treatment and Research (1 paper) and Biomedical Text Mining and Ontologies (1 paper). The work is most often cited by research in Biophysics (294 citations), Artificial Intelligence (866 citations), Health Informatics (31 citations), Radiology, Nuclear Medicine and Imaging (356 citations) and Computer Vision and Pattern Recognition (363 citations). André Huisman has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Paul J van Diest, Shaimaa Al‐Janabi, Mitko Veta, Max A. Viergever, Robert Kornegoor, Josien P. W. Pluim, Nikolas Stathonikos, Fiebo J.W. ten Kate, Aryan Vink and Roos J. Leguit. Their work appears in journals such as Journal of Clinical Pathology, Analytical Cellular Pathology, Human Pathology, Modern Pathology and JCO Clinical Cancer Informatics.
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.