Henkjan Huisman
- Pulmonary and Respiratory Medicine top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Rheumatology top 1%
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Jelle O. BarentszJ. Alfred WitjesThomas HambrockJurgen J. FüttererChristina A. Hulsbergen‐van de KaaTom W. J. ScheenenInge M. van OortPieter Vos
- Topics
- Prostate Cancer Diagnosis and Treatment (73 papers)Radiomics and Machine Learning in Medical Imaging (64 papers)MRI in cancer diagnosis (41 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineHealth Informatics
- Partner nations
- NetherlandsUnited StatesUnited Kingdom
In The Last Decade
Henkjan Huisman
119 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Pulmonary and Respiratory Medicine 4.6k
- Radiology, Nuclear Medicine and Imaging 4.4k
- Rheumatology 884
- Artificial Intelligence 785
- Computer Vision and Pattern Recognition 715
Countries citing papers authored by Henkjan Huisman
This map shows the geographic impact of Henkjan 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 Henkjan Huisman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henkjan Huisman more than expected).
Fields of papers citing papers by Henkjan Huisman
This network shows the impact of papers produced by Henkjan 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 Henkjan Huisman. The network helps show where Henkjan Huisman may publish in the future.
Co-authorship network of co-authors of Henkjan Huisman
This figure shows the co-authorship network connecting the top 25 collaborators of Henkjan Huisman. A scholar is included among the top collaborators of Henkjan Huisman 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 Henkjan Huisman. Henkjan Huisman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 31 | |
| 12 | 8 | |
| 13 | 6 | |
| 14 | 13 | |
| 15 | 38 | |
| 16 | 24 | |
| 17 | A pattern recognition approach to zonal segmentation of the prostate on MRI | 21 |
| 18 | Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions: International Workshop, Held in Conjunction with MICCAI 2011, Toronto, Canada, September 2011, Proceedings | 2 |
| 19 | 83 | |
| 20 | 64 |
About Henkjan Huisman
Henkjan Huisman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 124 papers that have together received 6.5k indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (73 papers), Radiomics and Machine Learning in Medical Imaging (64 papers) and MRI in cancer diagnosis (41 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (4.4k citations), Pulmonary and Respiratory Medicine (4.6k citations) and Health Informatics (110 citations). Henkjan Huisman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jelle O. Barentsz, J. Alfred Witjes, Thomas Hambrock, Jurgen J. Fütterer, Christina A. Hulsbergen‐van de Kaa, Tom W. J. Scheenen, Inge M. van Oort, Pieter Vos, Geert Litjens and Diederik M. Somford. Their work appears in journals such as Gastroenterology, Radiology and The Journal of Urology.
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.