Daniël M. Pelt

1.6k citations
46 papers · 1.1k · h-index 17

Impact in

Papers in

Daniël M. Pelt

42 papers receiving 1.0k citations

Peers

Daniël M. Pelt
Comparison fields: 5 of 120
  • Structural Biology 87
  • Radiation 250
  • Radiology, Nuclear Medicine and Imaging 404
  • Surfaces, Coatings and Films 70
  • Biomedical Engineering 397
Replace U. Sennhauser with:
U. Sennhauser Switzerland
Jürgen Mohr Germany
J. Mohr Germany
N. Bonnet France
Guohao Du China
Giovanni Mettivier Italy
Honglan Xie China
Renjie Zhou United States
Jeff Simmons United States
Marc Horner United States
Daniël M. Pelt relative to U. Sennhauser Switzerland U. Sennhauser's profile →
Citations per field
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U. Sennhauser · 1×
Citations per year

Countries citing papers authored by Daniël M. Pelt

Since Specialization
Citations

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

Fields of papers citing papers by Daniël M. Pelt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniël M. Pelt. 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 Daniël M. Pelt. The network helps show where Daniël M. Pelt may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniël M. Pelt, 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 Daniël M. Pelt Line = papers co-authored together Daniël M. Pelt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017190
2 2016104
3 200997
4 201377
5 201873
6 201765
7 201954
8 202138
9 202034
10 201928
11 201526
12 201426
13 202222
14 202120
15 202118
16 202217
17 201716
18 202214
19 201713
20
Accurately approximating algebraic tomographic reconstruction by filtered backprojection
201512

About Daniël M. Pelt

Daniël M. Pelt is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Computer Vision and Pattern Recognition and Molecular Biology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (25 papers), Advanced X-ray and CT Imaging (19 papers), Advanced X-ray Imaging Techniques (14 papers), Advanced MRI Techniques and Applications (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers), Medical Image Segmentation Techniques (4 papers), Image and Signal Denoising Methods (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Structural Biology (87 citations), Radiation (250 citations), Radiology, Nuclear Medicine and Imaging (404 citations), Surfaces, Coatings and Films (70 citations) and Biomedical Engineering (397 citations). Daniël M. Pelt has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Kees Joost Batenburg, James A. Sethian, Willem Jan Palenstijn, Jan Sijbers, Doğa Gürsoy, Francesco De Carlo, Marjolein Dijkstra, Laura Filion, Matthieu Maréchal and Frank Smallenburg. Their work appears in journals such as Journal of Synchrotron Radiation, Scientific Reports, Optics Express, IEEE Transactions on Image Processing and Measurement Science and Technology.

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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