Stefan Schmidt

20 papers receiving 465 citations

Peers

Stefan Schmidt
Comparison fields: 5 of 73
  • Oral Surgery 40
  • Radiology, Nuclear Medicine and Imaging 103
  • Computer Vision and Pattern Recognition 100
  • Hepatology 30
  • Pathology and Forensic Medicine 47
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Brent J. Liu United States
Chui-Mei Tiu Taiwan
Kyong Joon Lee South Korea
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Citations per field
00.5×6.7×
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Citations per year

Countries citing papers authored by Stefan Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005134
2 200791
3 200977
4 202144
5 200937
6 201026
7 201126
8 20197
9 20156
10 20095
11 20115
12 20134
13 20163
14
[Multiple bone metastases of a salivary-gland carcinoma in a dog. Roentgenologic, angiographic and pathologic-anatomy findings].
19783
15
DO YOU KNOW WHO IS ON THE PHONE? REPLICATION OF AN EXPERIMENT ON TELEPHONE TELEPATHY
20043
16 20242
17 20232
18 20091
19 20001
20 20191

About Stefan Schmidt

Stefan Schmidt is a scholar working on Artificial Intelligence, General Health Professions, Computer Vision and Pattern Recognition, Surgery and Computer Networks and Communications, having authored 22 papers that have together received 478 indexed citations. Recurring topics across this work include Social and Demographic Issues in Germany (3 papers), Medical Image Segmentation Techniques (2 papers), Machine Learning and Algorithms (2 papers), Chronic Disease Management Strategies (1 paper), Retinal Imaging and Analysis (1 paper), Advanced Radiotherapy Techniques (1 paper), Paranormal Experiences and Beliefs (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Oral Surgery (40 citations), Radiology, Nuclear Medicine and Imaging (103 citations), Computer Vision and Pattern Recognition (100 citations), Hepatology (30 citations) and Pathology and Forensic Medicine (47 citations). Stefan Schmidt has collaborated with scholars based in Germany, Poland and United Kingdom. Frequent co-authors include Christoph Schnörr, Jörg Hendrik Kappes, Martin Bergtholdt, Florian Auer, Katharina Marten, Christoph Engelke, Gerhard Kohl, Ernst J. Rummeny, Vladimír Pekar and Sebastian P. M. Dries. Their work appears in journals such as Molecular Imaging and Biology, International Journal of Computer Vision, European Journal of Inorganic Chemistry, European Radiology and BMC Geriatrics.

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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