André Klein

50 papers receiving 968 citations

André Klein's Hit Papers

Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation 2019 · 413 citations
4130+2+4Years since publication100200300400

Peers

André Klein
Comparison fields: 5 of 112
  • Radiology, Nuclear Medicine and Imaging 252
  • Computer Vision and Pattern Recognition 234
  • Health Informatics 14
  • Neurology 68
  • Computational Mathematics 5
Replace Akinobu Shimizu with:
Akinobu Shimizu Japan
Julien Cornebise United Kingdom
Alexander Cloninger United States
Uri Shaham United States
Rachid Jennane France
Joong‐Ho Won South Korea
Geoff Pleiss United States
Gaetano Giunta Italy
James Nichols United States
Huisheng Zhang China
André Klein relative to Akinobu Shimizu Japan Akinobu Shimizu's profile →
Citations per field
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Akinobu Shimizu · 1×
Citations per year

Countries citing papers authored by André Klein

Since Specialization
Citations

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

Fields of papers citing papers by André Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Abstract: nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation
Hit paper breakdown →
2019413
2 201869
3 202043
4 202128
5 199227
6 199626
7 198925
8 202224
9 200021
10 200017
11 200517
12 199417
13 199015
14 199615
15 199214
16 200114
17 199413
18 199412
19 199811
20 200811

About André Klein

André Klein is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing, Economics and Econometrics and Statistics and Probability, having authored 50 papers that have together received 984 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (11 papers), Statistical Mechanics and Entropy (11 papers), Complex Systems and Time Series Analysis (11 papers), Neural Networks and Applications (7 papers), Medical Imaging and Analysis (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (252 citations), Computer Vision and Pattern Recognition (234 citations), Health Informatics (14 citations), Neurology (68 citations) and Computational Mathematics (5 citations). André Klein has collaborated with scholars based in Netherlands, Belgium and Germany. Frequent co-authors include Guy Mélard, Klaus Maier‐Hein, Peter Spreij, Jakob Wasserthal, Fabian Isensee, Simon Köhl, Sebastian Wirkert, David Zimmerer, Tobias Norajitra and Paul F. Jaeger. Their work appears in journals such as Linear Algebra and its Applications, IEEE Transactions on Signal Processing, Journal of Forecasting, International Journal of Computer Assisted Radiology and Surgery and Journal of Time Series Analysis.

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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