André Huisman

1.6k citations
21 papers · 1.2k indexed · h-index 15
Topics
AI in cancer detection (15 papers)Cell Image Analysis Techniques (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
Partner nations
NetherlandsUnited States

In The Last Decade

André Huisman

21 papers receiving 1.2k citations

Peers

André Huisman
Comparison fields: 5 of 112
  • Artificial Intelligence 860
  • Radiology, Nuclear Medicine and Imaging 402
  • Computer Vision and Pattern Recognition 344
  • Biophysics 333
  • Molecular Biology 186
Replace Péter Bándi with:
Péter Bándi Netherlands
Anthony Sisk United States
Shaimaa Al‐Janabi Netherlands
Mark D. Zarella United States
Meyke Hermsen Netherlands
Thomas de Bel Netherlands
Yee‐Wah Tsang United Kingdom
Shannon C. Agner United States
Abhishek Vahadane India
Navid Farahani United States
André Huisman relative to Péter Bándi Netherlands Péter Bándi's profile →
Citations per field
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Péter Bándi · 1×
Citations per year

Countries citing papers authored by André Huisman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of André Huisman

This figure shows the co-authorship network connecting the top 25 collaborators of André Huisman. A scholar is included among the top collaborators of André 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 André Huisman. André Huisman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 18
2 34
3 21
4 27
5 125
6 278
7 51
8
Digital pathology for education.
2
9 62
10 34
11 71
12 271
13 69
14 93
15 1
16 2
17 28
18 1
19 6
20 35

About André Huisman

André Huisman is a scholar working on Biophysics, Artificial Intelligence and Transplantation, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (15 papers), Cell Image Analysis Techniques (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Biophysics (333 citations), Artificial Intelligence (860 citations) and Radiology, Nuclear Medicine and Imaging (402 citations). André Huisman has collaborated with scholars based in Netherlands and United States. Frequent co-authors include P. J. van Diest, Shaimaa Al‐Janabi, Mitko Veta, Josien P. W. Pluim, Max A. Viergever, Robert Kornegoor, Nikolas Stathonikos, Fiebo J.W. ten Kate, Aryan Vink and Roos J. Leguit. Their work appears in journals such as PLoS ONE, Journal of Clinical Pathology and Atherosclerosis.

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.

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