Simon Pezold

33 papers receiving 398 citations

Peers

Simon Pezold
Comparison fields: 5 of 60
  • Pathology and Forensic Medicine 157
  • Neurology 57
  • Radiology, Nuclear Medicine and Imaging 97
  • Computer Vision and Pattern Recognition 76
  • Neurology 37
Replace Ivan Coronado with:
Ivan Coronado United States
Muhamed Baraković Switzerland
Loredana Storelli Italy
Colin D. Shea United States
Delphine Ribes Switzerland
J Grimaud France
Mário João Fartaria Switzerland
Daniel Goldberg‐Zimring United States
Haydar Çelik Türkiye
Hongxia Yin China
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Citations per field
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Citations per year

Countries citing papers authored by Simon Pezold

Since Specialization
Citations

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

Fields of papers citing papers by Simon Pezold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201680
2 201859
3 201848
4 201836
5 201928
6 201516
7 201613
8 202112
9 201812
10 201911
11 201511
12 201911
13 20179
14 20227
15 20147
16 20147
17 20166
18 20175
19 20193
20 20233

About Simon Pezold

Simon Pezold is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Biomedical Engineering, Pathology and Forensic Medicine and Computational Mechanics, having authored 33 papers that have together received 406 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Multiple Sclerosis Research Studies (6 papers), Medical Imaging Techniques and Applications (5 papers), Medical Imaging and Analysis (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Glaucoma and retinal disorders (3 papers), Robotics and Sensor-Based Localization (3 papers) and Image Processing Techniques and Applications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (157 citations), Neurology (57 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Computer Vision and Pattern Recognition (76 citations) and Neurology (37 citations). Simon Pezold has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Philippe C. Cattin, Simon Andermatt, Michael Amann, Katrin Parmar, Ludwig Kappos, Till Sprenger, Charidimos Tsagkas, Yvonne Naegelin, Jens Wuerfel and Oliver Bieri. Their work appears in journals such as Multiple Sclerosis Journal, Human Brain Mapping, American Journal of Neuroradiology, Lecture notes in computer science and IEEE Transactions on Biomedical Engineering.

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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