Michel E. Vandenberghe

922 citations
19 papers · 393 indexed · h-index 9
Topics
Cell Image Analysis Techniques (6 papers)AI in cancer detection (5 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)

In The Last Decade

Michel E. Vandenberghe

18 papers receiving 383 citations

Peers

Michel E. Vandenberghe
Comparison fields: 5 of 71
  • Radiology, Nuclear Medicine and Imaging 169
  • Artificial Intelligence 135
  • Oncology 117
  • Molecular Biology 90
  • Cancer Research 71
Replace Quirine F. Manson with:
Quirine F. Manson Netherlands
Marcory van Dijk Netherlands
Daniel Heim Germany
Nathan Ing United States
Zhaoxuan Ma United States
Paul van Diest Netherlands
Zixiao Lu China
Venkata N. P. Vemuri United States
Rob van de Loo Netherlands
Maha Shady United States
Michel E. Vandenberghe relative to Quirine F. Manson Netherlands Quirine F. Manson's profile →
Citations per field
00.5×6.3×
Quirine F. Manson · 1×
Citations per year

Countries citing papers authored by Michel E. Vandenberghe

Since Specialization
Citations

This map shows the geographic impact of Michel E. Vandenberghe'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 Michel E. Vandenberghe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michel E. Vandenberghe more than expected).

Fields of papers citing papers by Michel E. Vandenberghe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel E. Vandenberghe. 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 Michel E. Vandenberghe. The network helps show where Michel E. Vandenberghe may publish in the future.

Co-authorship network of co-authors of Michel E. Vandenberghe

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 2
2 1
3 8
4 27
5 35
6 4
7 1
8 8
9 79
10 7
11 3
12 148
13 9
14 14
15 30
16 5
17 6
18 0
19 6

About Michel E. Vandenberghe

Michel E. Vandenberghe is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 19 papers that have together received 393 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (6 papers), AI in cancer detection (5 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (22 citations), Biophysics (70 citations) and Radiology, Nuclear Medicine and Imaging (169 citations). Michel E. Vandenberghe has collaborated with scholars based in United Kingdom, France and Singapore. Frequent co-authors include Marietta Scott, Craig Barker, Magnus Söderberg, Denis Balcerzak, Anna Sapino, Emad A. Rakha, Caterina Marchiò, Mohammed A. Aleskandarany, Ian O. Ellis and Paul Scorer. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and NeuroImage.

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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