Katharina Breininger

1.5k total citations
44 papers, 449 citations indexed

About

Katharina Breininger is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Katharina Breininger has authored 44 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 13 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Katharina Breininger's work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (5 papers). Katharina Breininger is often cited by papers focused on AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cell Image Analysis Techniques (5 papers). Katharina Breininger collaborates with scholars based in Germany, Austria and United States. Katharina Breininger's co-authors include Andreas Maier, Mathias Unberath, Mathis Hoffmann, Vincent Christlein, Tobias Würfl, Yixing Huang, Marc Aubreville, Robert Klopfleisch, Christof Bertram and Christian Marzahl and has published in prestigious journals such as Scientific Reports, Annals of the Rheumatic Diseases and IEEE Transactions on Medical Imaging.

In The Last Decade

Katharina Breininger

38 papers receiving 441 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Katharina Breininger Germany	12	224	159	104	79	46	44	449
Jiahong Ouyang United States	14	309 1.4×	136 0.9×	92 0.9×	86 1.1×	104 2.3×	34	626
Michael Schwier Germany	12	221 1.0×	132 0.8×	96 0.9×	130 1.6×	60 1.3×	22	551
Lucas Fidon United Kingdom	6	216 1.0×	84 0.5×	131 1.3×	138 1.7×	45 1.0×	13	447
Denis P. Shamonin Netherlands	10	441 2.0×	170 1.1×	60 0.6×	207 2.6×	146 3.2×	22	842
Evan McCreedy United States	13	127 0.6×	193 1.2×	54 0.5×	97 1.2×	106 2.3×	25	590
Hendrik Laue Germany	13	559 2.5×	102 0.6×	124 1.2×	99 1.3×	125 2.7×	26	884
John A. Onofrey United States	15	610 2.7×	226 1.4×	104 1.0×	133 1.7×	70 1.5×	69	880
Xiangrong Zhou Japan	12	363 1.6×	268 1.7×	164 1.6×	263 3.3×	59 1.3×	42	838
Matthew D. DiFranco Austria	11	164 0.7×	93 0.6×	55 0.5×	42 0.5×	27 0.6×	29	383
Jonathan Shapey United Kingdom	18	284 1.3×	168 1.1×	45 0.4×	54 0.7×	54 1.2×	60	961

Countries citing papers authored by Katharina Breininger

Since Specialization

Citations

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

Fields of papers citing papers by Katharina Breininger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Breininger

This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Breininger. A scholar is included among the top collaborators of Katharina Breininger 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 Katharina Breininger. Katharina Breininger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Robertshaw, Harry, Benjamin M. Jackson, Katharina Breininger, et al.. (2025). Learning-based autonomous navigation, benchmark environments and simulation framework for endovascular interventions. Computers in Biology and Medicine. 196(Pt C). 110844–110844.

Gómez, Catalina, Ruolin Wang, Katharina Breininger, et al.. (2025). The explainable AI dilemma under knowledge imbalance in specialist AI for glaucoma referrals in primary care. npj Digital Medicine. 8(1). 706–706.

Wilm, Frauke, Matthias Rübner, Corinna Lang‐Schwarz, et al.. (2025). Fully automatic HER2 tissue segmentation for interpretable HER2 scoring. Journal of Pathology Informatics. 17. 100435–100435.

Wilm, Frauke, Matthias Ruebner, Arndt Hartmann, et al.. (2025). Analyzing and adapting diffusion segmentation behavior for medical images. Biomedical Signal Processing and Control. 112. 108619–108619.

Ostalecki, Christian, et al.. (2024). Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features. International Journal of Computer Assisted Radiology and Surgery. 20(3). 497–505. 2 indexed citations

Conrad, Thomas, Cem Parlak, Christof Bertram, et al.. (2024). Artificial intelligence can be trained to predict c-KIT -11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides. Veterinary Pathology. 62(2). 152–160. 2 indexed citations

Wang, Ruolin, Chris Bradley, Gregory D. Hager, et al.. (2024). Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability. Ophthalmology Glaucoma. 7(3). 222–231. 2 indexed citations

Oetter, Nicolai, Matti Sievert, Miguel Goncalves, et al.. (2024). Oral mucosa - an examination map for confocal laser endomicroscopy within the oral cavity: an experimental clinical study. Clinical Oral Investigations. 28(5). 266–266. 1 indexed citations

Sievert, Matti, Marc Aubreville, Sarina K. Mueller, et al.. (2024). Diagnosis of malignancy in oropharyngeal confocal laser endomicroscopy using GPT 4.0 with vision. European Archives of Oto-Rhino-Laryngology. 281(4). 2115–2122. 19 indexed citations

10.

Jabari, Samir, et al.. (2024). Re-identification from histopathology images. Medical Image Analysis. 99. 103335–103335.

11.

Kleyer, Arnd, Sara Bayat, Filippo Fagni, et al.. (2023). POS0900 AUTOMATIC SCORING OF EROSION, SYNOVITIS AND BONE OEDEMA IN RHEUMATOID ARTHRITIS USING DEEP LEARNING ON HAND MAGNETIC RESONANCE IMAGING. Annals of the Rheumatic Diseases. 82. 758–759. 1 indexed citations

12.

Krügel, Sebastian, Matthias Uhl, Andreas Riener, et al.. (2023). Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. 330–335. 1 indexed citations

13.

Wels, Michael, Katharina Breininger, Thomas Allmendinger, et al.. (2023). How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography. Scientific Reports. 13(1). 2563–2563. 6 indexed citations

14.

Aubreville, Marc, Frauke Wilm, Nikolas Stathonikos, et al.. (2023). A comprehensive multi-domain dataset for mitotic figure detection. Scientific Data. 10(1). 484–484. 18 indexed citations

15.

Wilm, Frauke, Christof Bertram, Anja Schmidt, et al.. (2023). Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images. Veterinary Pathology. 60(6). 865–875. 11 indexed citations

16.

Bertram, Christof, Christian Marzahl, Alexander Bartel, et al.. (2022). Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm. Veterinary Pathology. 60(1). 75–85. 8 indexed citations

17.

Wilm, Frauke, Christian Marzahl, Christof Bertram, et al.. (2022). Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset. Scientific Data. 9(1). 588–588. 11 indexed citations

18.

Nissen, Michael D., et al.. (2022). Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 6. 945–949. 2 indexed citations

19.

Aubreville, Marc, Christof Bertram, Mitko Veta, et al.. (2021). MItosis DOmain Generalization Challenge. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations

20.

Breininger, Katharina, et al.. (2017). Rewiring of neuronal networks during synaptic silencing. Scientific Reports. 7(1). 11724–11724. 9 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.

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