Andreas Schuh

3.6k citations
34 papers · 856 · h-index 17

Impact in

Papers in

Andreas Schuh

33 papers receiving 844 citations

Peers

Andreas Schuh
Comparison fields: 5 of 103
  • Psychiatry and Mental health 140
  • Radiology, Nuclear Medicine and Imaging 214
  • Biological Psychiatry 23
  • Neurology 77
  • Computer Vision and Pattern Recognition 151
Replace Esther E. Bron with:
Esther E. Bron Netherlands
Jean‐Paul Armspach France
Marie‐Louise Montandon Switzerland
Robert Donnino United States
Trevor Carpenter United Kingdom
Félix Renard France
Mohammed Goryawala United States
James R. Stone United States
Mark Kohn United States
Hans Olofsen Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Andreas Schuh

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Schuh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016134
2 2018109
3 201753
4 201953
5 201552
6 201844
7 201837
8 202035
9 201735
10 202029
11 202226
12 202325
13 201824
14 202024
15
Learning Diffeomorphic and Modality-invariant Registration using B-splines.
202123
16 202023
17 201720
18 202116
19 201515
20 202014

About Andreas Schuh

Andreas Schuh is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Physiology and Molecular Biology, having authored 34 papers that have together received 856 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (12 papers), Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Tracheal and airway disorders (5 papers), Obstructive Sleep Apnea Research (4 papers), Advanced MRI Techniques and Applications (4 papers), Functional Brain Connectivity Studies (4 papers) and Neonatal and fetal brain pathology (3 papers). The work is most often cited by research in Psychiatry and Mental health (140 citations), Radiology, Nuclear Medicine and Imaging (214 citations), Biological Psychiatry (23 citations), Neurology (77 citations) and Computer Vision and Pattern Recognition (151 citations). Andreas Schuh has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Daniel Rueckert, Christian Ledig, Ricardo Guerrero, Rolf A. Heckemann, Ben Glocker, Alister J. Bates, Ozan Oktay, Jason C. Woods, Michiel Schaap and Raouf Amin. Their work appears in journals such as NeuroImage Clinical, Scientific Reports, IEEE Transactions on Medical Imaging, Journal of Applied Physiology and CHEST Journal.

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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