Jeroen Veltman

4.9k citations
49 papers · 2.7k indexed · 2 hit papers · h-index 23
Topics
MRI in cancer diagnosis (19 papers)Breast Lesions and Carcinomas (14 papers)Radiomics and Machine Learning in Medical Imaging (10 papers)

In The Last Decade

Jeroen Veltman

47 papers receiving 2.7k citations

Hit Papers

Head-to-head Comparison of Transrectal Ultrasound-guided ...201820262020202320182019100200300400500

Peers

Jeroen Veltman
Comparison fields: 5 of 83
  • Pulmonary and Respiratory Medicine 1.5k
  • Radiology, Nuclear Medicine and Imaging 1.5k
  • Cancer Research 368
  • Rheumatology 365
  • Pathology and Forensic Medicine 347
Replace Tatjana Antic with:
Tatjana Antic United States
Giuseppe Petralia Italy
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Anno Graser Germany
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Jeroen Veltman relative to Tatjana Antic United States Tatjana Antic's profile →
Citations per field
00.5×4.3×
Tatjana Antic · 1×
Citations per year

Countries citing papers authored by Jeroen Veltman

Since Specialization
Citations

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

Fields of papers citing papers by Jeroen Veltman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeroen Veltman. 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 Jeroen Veltman. The network helps show where Jeroen Veltman may publish in the future.

Co-authorship network of co-authors of Jeroen Veltman

This figure shows the co-authorship network connecting the top 25 collaborators of Jeroen Veltman. A scholar is included among the top collaborators of Jeroen Veltman 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 Jeroen Veltman. Jeroen Veltman 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 1
2 0
3 2
4 2
5 3
6 8
7 8
8 10
9 10
10 9
11 64
12 25
13
Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy-naïve Men with Elevated Prostate-specific Antigen: A Large Prospective Multicenter Clinical Studybreakdown →
520
14 20
15 78
16 22
17 54
18 15
19 30
20 94

About Jeroen Veltman

Jeroen Veltman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Health Informatics, having authored 49 papers that have together received 2.7k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (19 papers), Breast Lesions and Carcinomas (14 papers) and Radiomics and Machine Learning in Medical Imaging (10 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Pulmonary and Respiratory Medicine (1.5k citations) and Health Informatics (42 citations). Jeroen Veltman has collaborated with scholars based in Netherlands, United States and United Kingdom. Frequent co-authors include Jelle O. Barentsz, Ritse M. Mann, C. Boetes, Bas Israël, Anwar R. Padhani, Henkjan Huisman, Johan G. Blickman, J.P. Michiel Sedelaar, Erik B. Cornel and Gerjon Hannink. Their work appears in journals such as New England Journal of Medicine, PLoS ONE and Radiology.

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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