Thomas Netsch

940 citations
35 papers · 796 · h-index 13

Impact in

Papers in

Thomas Netsch

33 papers receiving 763 citations

Peers

Thomas Netsch
Comparison fields: 5 of 78
  • Radiology, Nuclear Medicine and Imaging 521
  • Computer Vision and Pattern Recognition 288
  • Computational Mathematics 6
  • Radiation 33
  • Artificial Intelligence 114
Replace Alexandre Guimond with:
Alexandre Guimond United States
Manav Bhushan United Kingdom
Tahreema Matin United Kingdom
Joe P. Windham United States
M. Quist Netherlands
Refaat E. Gabr United States
Jonathan I. Sperl Germany
Pascal Cachier France
Thomas Küstner Germany
Stephen G. Hushek United States
Thomas Netsch relative to Alexandre Guimond United States Alexandre Guimond's profile →
Citations per field
00.5×2.9×
Alexandre Guimond · 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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004180
2 1999117
3 200494
4 200869
5 200248
6 200439
7 200830
8 199929
9 200428
10 200623
11 200420
12 200516
13 200614
14 200412
15 200411
16 200010
17 20047
18 20047
19 20037
20 20006

About Thomas Netsch

Thomas Netsch is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine and Artificial Intelligence, having authored 35 papers that have together received 796 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), Medical Imaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (10 papers), Medical Imaging and Analysis (8 papers), Image Retrieval and Classification Techniques (4 papers), AI in cancer detection (4 papers), Image and Object Detection Techniques (3 papers) and Digital Radiography and Breast Imaging (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (521 citations), Computer Vision and Pattern Recognition (288 citations), Computational Mathematics (6 citations), Radiation (33 citations) and Artificial Intelligence (114 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, G.R. Crelier, T. Jaermann, Peter Boesiger, Xavier Golay, Klaas P. Pruessmann and Susumu Mori. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Cardiovascular Magnetic Resonance, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Journal of Magnetic Resonance Imaging and Academic 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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