Stefan Bauer

13.6k total citations · 4 hit papers
90 papers, 3.6k citations indexed

About

Stefan Bauer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stefan Bauer has authored 90 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 24 papers in Computer Vision and Pattern Recognition and 13 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stefan Bauer's work include Medical Image Segmentation Techniques (14 papers), Brain Tumor Detection and Classification (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Stefan Bauer is often cited by papers focused on Medical Image Segmentation Techniques (14 papers), Brain Tumor Detection and Classification (8 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). Stefan Bauer collaborates with scholars based in Switzerland, Germany and United States. Stefan Bauer's co-authors include Lutz-P. Nolte, Mauricio Reyes, Roland Wiest, Mauricio Reyes, Bernhard Schölkopf, Francesco Locatello, Anirudh Goyal, Yoshua Bengio, Nan Rosemary Ke and Nal Kalchbrenner and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Stefan Bauer

81 papers receiving 3.5k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A survey of MRI-based medical image analysis for brain tumor studies

2013 686 citations Stefan Bauer, Roland Wiest et al. profile →
Toward Causal Representation Learning

2021 519 citations Bernhard Schölkopf, Francesco Locatello et al. Proceedings of the IEEE profile →
Machine learning–enabled high-entropy alloy discovery

2022 461 citations Ziyuan Rao, Po‐Yen Tung et al. Science profile →
Causal machine learning for predicting treatment outcomes

2024 95 citations Stefan Bauer et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stefan Bauer	1.1k	1.0k	808	654	335	90	3.6k
Su Ruan	2.0k 1.8×	842 0.8×	1.4k 1.7×	2.0k 3.1×	637 1.9×	171	5.0k
Mingxia Liu	1.1k 1.0×	1.2k 1.2×	1.6k 2.0×	1.3k 2.0×	617 1.8×	246	6.8k
Ramin Ranjbarzadeh	850 0.7×	546 0.5×	529 0.7×	456 0.7×	846 2.5×	55	2.5k
Chen Li	1.3k 1.2×	272 0.3×	2.1k 2.6×	1.8k 2.7×	437 1.3×	239	4.8k
Hamid Soltanian‐Zadeh	2.4k 2.1×	818 0.8×	1.3k 1.6×	2.3k 3.5×	704 2.1×	456	7.3k
Sidong Liu	623 0.5×	601 0.6×	681 0.8×	808 1.2×	282 0.8×	130	2.7k
Kwang‐Ting Cheng	3.3k 2.9×	191 0.2×	1.9k 2.3×	1.2k 1.8×	1.5k 4.3×	707	16.4k
Weidong Cai	3.0k 2.6×	792 0.8×	2.4k 3.0×	2.1k 3.2×	522 1.6×	303	7.0k
Sadiq Hussain	416 0.4×	163 0.2×	1.4k 1.7×	621 0.9×	203 0.6×	104	5.2k

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-authorship network of co-authors of Stefan Bauer

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Bauer. A scholar is included among the top collaborators of Stefan Bauer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Bauer. Stefan Bauer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Parajuli, Anirudra, Virginia M. Stone, Emma Ringqvist, et al.. (2025). Frequent longitudinal blood microsampling and proteome monitoring identify disease markers and enable timely intervention in a mouse model of type 1 diabetes. Diabetologia. 68(10). 2277–2289.

Lobentanzer, Sebastian, Pablo Rodríguez-Mier, Stefan Bauer, & Julio Sáez-Rodríguez. (2024). Molecular causality in the advent of foundation models. Molecular Systems Biology. 20(8). 848–858. 7 indexed citations

Bauer, Stefan, et al.. (2024). Diffusion-Based Causal Representation Learning. Entropy. 26(7). 556–556. 1 indexed citations

Li, Yue, Ye Wei, Zhangwei Wang, et al.. (2023). Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. Nature Communications. 14(1). 7410–7410. 30 indexed citations

Mehrjou, Arash, et al.. (2023). Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases. PLoS Computational Biology. 19(1). e1010799–e1010799. 1 indexed citations

Rao, Ziyuan, Po‐Yen Tung, Ruiwen Xie, et al.. (2022). Machine learning–enabled high-entropy alloy discovery. Science. 378(6615). 78–85. 461 indexed citations breakdown →

McGuinness, Kevin, et al.. (2022). Dexterous robotic manipulation using deep reinforcement learning and knowledge transfer for complex sparse reward‐based tasks. Expert Systems. 40(6). 10 indexed citations

Bauer, Stefan, et al.. (2022). Conditional generation of medical time series for extrapolation to underrepresented populations. SHILAP Revista de lepidopterología. 1(7). e0000074–e0000074. 9 indexed citations

Xian, R. Patrick, Vincent Stimper, Marios Zacharias, et al.. (2022). A machine learning route between band mapping and band structure. Nature Computational Science. 3(1). 101–114. 10 indexed citations

10.

Nowak, Nora, Thomas Gaisl, Ričards Marcinkevičs, et al.. (2021). Rapid and reversible control of human metabolism by individual sleep states. Cell Reports. 37(4). 109903–109903. 34 indexed citations

11.

Li, Yue, Xuyang Zhou, Ye Wei, et al.. (2021). Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face-centred cubic alloys. npj Computational Materials. 7(1). 21 indexed citations

12.

Schölkopf, Bernhard, Francesco Locatello, Stefan Bauer, et al.. (2021). Toward Causal Representation Learning. Proceedings of the IEEE. 109(5). 612–634. 519 indexed citations breakdown →

13.

Schwab, Patrick, et al.. (2020). Clinical Predictive Models for COVID-19: Systematic Study. Journal of Medical Internet Research. 22(10). e21439–e21439. 68 indexed citations

14.

Bauer, Stefan, et al.. (2020). Structural Autoencoders Improve Representations for Generation and Transfer.. arXiv (Cornell University). 1 indexed citations

15.

Wüthrich, Manuel, Francesco Locatello, Martin Breidt, et al.. (2019). On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. MPG.PuRe (Max Planck Society). 32. 15661–15672. 14 indexed citations

16.

Velazquez, Emmanuel Rios, Raphael Meier, Walter Dunn, et al.. (2015). TU-AB-BRA-11: Evaluation of Fully Automatic Volumetric GBM Segmentation in the TCGA-GBM Dataset: Prognosis and Correlation with VASARI Features. Medical Physics. 42(6Part31). 3589–3589. 2 indexed citations

17.

Velazquez, Emmanuel Rios, Raphael Meier, William D. Dunn, et al.. (2015). Fully automatic GBM segmentation in the TCGA-GBM dataset: Prognosis and correlation with VASARI features. Scientific Reports. 5(1). 68 indexed citations

18.

Meier, Raphael, Stefan Bauer, Johannes Slotboom, Roland Wiest, & Mauricio Reyes. (2013). A Hybrid Model for Multimodal Brain Tumor Segmentation. Bern Open Repository and Information System (University of Bern). 54 indexed citations

19.

Bauer, Stefan & Edward Bernroider. (2013). IT operational risk awareness building in banking companies: A preliminary research design highlighting the importance of risk cultures and control systems. WU Research. 56. 1 indexed citations

20.

Bauer, Stefan, Edward Bernroider, & Katharina Chudzikowski. (2013). End User Information Security Awareness Programs for Improving Information Security in Banking Organizations: Preliminary Results from an Exploratory Study. Journal of the Association for Information Systems. 7 indexed citations

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.

Explore authors with similar magnitude of impact