Thomas Netsch

943 citations
33 papers · 749 · h-index 12

Impact in

Papers in

Thomas Netsch

31 papers receiving 721 citations

Peers

Thomas Netsch
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 491
  • Computer Vision and Pattern Recognition 261
  • Computational Mathematics 6
  • Radiation 33
  • Artificial Intelligence 112
Replace Marcel J. Quist with:
Marcel J. Quist Netherlands
Manav Bhushan United Kingdom
Tahreema Matin United Kingdom
Pascal Cachier France
Refaat E. Gabr United States
W. Scott Hoge United States
Mahmoud Mostapha United States
Zhoubing Xu United States
Jean‐Marc Peyrat France
Christoph Forman Germany
Thomas Netsch relative to Marcel J. Quist Netherlands Marcel J. Quist's profile →
Citations per field
00.5×2×3×4.5×
Marcel J. Quist · 1×
Citations per year

Countries citing papers authored by Thomas Netsch

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Netsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Netsch, 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 Thomas Netsch Line = papers co-authored together Thomas Netsch 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 2004179
2 1999116
3 200494
4 200871
5 200250
6 200438
7 200429
8 199927
9 200623
10 200420
11 200515
12 200412
13 200411
14 200010
15 20047
16 20037
17 20046
18 20016
19 20005
20 19985

About Thomas Netsch

Thomas Netsch is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Oral Surgery and Radiation, having authored 33 papers that have together received 749 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Medical Imaging Techniques and Applications (13 papers), Medical Imaging and Analysis (8 papers), Advanced MRI Techniques and Applications (8 papers), Image Retrieval and Classification Techniques (4 papers), AI in cancer detection (4 papers), Digital Radiography and Breast Imaging (3 papers) and Image and Object Detection Techniques (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (491 citations), Computer Vision and Pattern Recognition (261 citations), Computational Mathematics (6 citations), Radiation (33 citations) and Artificial Intelligence (112 citations). Thomas Netsch has collaborated with scholars based in Germany, Netherlands and Finland. Frequent co-authors include Heinz‐Otto Peitgen, Chris A. Cocosco, Peter Rösch, Jürgen Weese, Susumu Mori, Peter Van Zijl, Xavier Golay, Anton G. Valavanis, G�rard R. Crelier and Peter Boesiger. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Magnetic Resonance Imaging, Magnetic Resonance in Medicine, Academic Radiology and RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

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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