Bruno De Man

5.1k citations
121 papers · 3.8k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Bruno De Man

115 papers receiving 3.7k citations

Hit Papers

Deep learning for tomographic image reconstruction 2020 · 357 citations
3572020202620222024100200300

Peers

Bruno De Man
Comparison fields: 5 of 114
  • Radiology, Nuclear Medicine and Imaging 3.3k
  • Biomedical Engineering 3.0k
  • Radiation 508
  • Oral Surgery 164
  • Health Informatics 21
Replace Jiang Hsieh with:
Jiang Hsieh United States
J. Webster Stayman United States
Daniela Pfeiffer Germany
Rebecca Fahrig United States
Peixi Liao China
Rainer Raupach Germany
Frédéric Noo United States
Sabee Molloi United States
Eric C. Frey United States
Wojciech Zbijewski United States
Bruno De Man relative to Jiang Hsieh United States Jiang Hsieh's profile →
Citations per field
00.5×2.6×
Jiang Hsieh · 1×
Citations per year

Countries citing papers authored by Bruno De Man

Since Specialization
Citations

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

Fields of papers citing papers by Bruno De Man

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno De Man. 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 Bruno De Man. The network helps show where Bruno De Man may publish in the future.

Co-authors

The 25 scholars most cited alongside Bruno De Man, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bruno De Man Line = papers co-authored together Bruno De Man links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 202411
4 20245
5 202231
6 20213
7 2017119
8 20162
9 201512
10 201420
11 2013149
12 20113
13 201033
14 200910
15 2008221
16 2007103
17 20005
18
A new method to accurately simulate ultrasonic images using low sampling frequencies
19981
19 1998236
20
Radiofrequency data processing for use in quantitative contrast echocardiography: intercentre variability
19971

About Bruno De Man

Bruno De Man is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computer Graphics and Computer-Aided Design and Geophysics, having authored 121 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (106 papers), Medical Imaging Techniques and Applications (104 papers), Radiation Dose and Imaging (74 papers), Advanced MRI Techniques and Applications (10 papers), Advanced Radiotherapy Techniques (9 papers), Cardiac Imaging and Diagnostics (8 papers), Digital Radiography and Breast Imaging (6 papers) and Advanced X-ray Imaging Techniques (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (3.3k citations), Biomedical Engineering (3.0k citations), Radiation (508 citations), Oral Surgery (164 citations) and Health Informatics (21 citations). Bruno De Man has collaborated with scholars based in United States, Belgium and Spain. Frequent co-authors include Ge Wang, Johan Nuyts, S. Basu, Paul Suetens, Patrick Dupont, G Marchal, Jong Chul Ye, Hengyong Yu, Yannan Jin and Reza Forghani. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, IEEE Transactions on Medical Imaging, Journal of X-Ray Science and Technology and IEEE Access.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026