Stefan Bauer

14.1k citations
92 papers · 3.8k · 4 hit papers · h-index 27

Impact in

Papers in

Stefan Bauer

86 papers receiving 3.7k citations

Stefan Bauer's Hit Papers

Causal machine learning for predicting treatment outcomes 2024 · 120 citations
1200+4+8Years since publication200400600

Peers

Stefan Bauer
Comparison fields: 5 of 195
  • Neurology 957
  • Computer Vision and Pattern Recognition 1.1k
  • Health Informatics 43
  • Artificial Intelligence 802
  • Radiology, Nuclear Medicine and Imaging 500
Replace Sidong Liu with:
Sidong Liu Australia
Chris Pal United States
Chen Li China
Weidong Cai Australia
Su Ruan France
Hamid Soltanian‐Zadeh Iran
Heye Zhang China
Md Zahangir Alom United States
Mingxia Liu China
Stefan Bauer relative to Sidong Liu Australia Sidong Liu's profile →
Citations per field
00.5×3.2×
Sidong Liu · 1×
Citations per year

Countries citing papers authored by Stefan Bauer

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Bauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A survey of MRI-based medical image analysis for brain tumor studies
Hit paper breakdown →
2013699
2
Toward Causal Representation Learning
Hit paper breakdown →
2021566
3
Machine learning–enabled high-entropy alloy discovery
Hit paper breakdown →
2022510
4 2011281
5
Causal machine learning for predicting treatment outcomes
Hit paper breakdown →
2024120
6 2018107
7 201499
8 201680
9 201778
10 202068
11 201568
12 201768
13 201165
14 201664
15 201961
16
A Hybrid Model for Multimodal Brain Tumor Segmentation
201355
17 201952
18 201349
19 202149
20 202337

About Stefan Bauer

Stefan Bauer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Neurology and Information Systems, having authored 92 papers that have together received 3.8k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (13 papers), Brain Tumor Detection and Classification (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Information and Cyber Security (6 papers), Adversarial Robustness in Machine Learning (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Cell Image Analysis Techniques (5 papers). The work is most often cited by research in Neurology (957 citations), Computer Vision and Pattern Recognition (1.1k citations), Health Informatics (43 citations), Artificial Intelligence (802 citations) and Radiology, Nuclear Medicine and Imaging (500 citations). Stefan Bauer has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Lutz-P. Nolte, Mauricio Reyes, Roland Wiest, Mauricio Reyes, Bernhard Schölkopf, Francesco Locatello, Yoshua Bengio, Anirudh Goyal, Nan Rosemary Ke and Nal Kalchbrenner. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Journal of the Association for Information Systems, Nature Computational Science, PLoS Computational Biology and Scientific Reports.

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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