Frauke Wilm

482 total citations
14 papers, 67 citations indexed

About

Frauke Wilm is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Oncology. According to data from OpenAlex, Frauke Wilm has authored 14 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 4 papers in Oncology. Recurrent topics in Frauke Wilm's work include AI in cancer detection (10 papers), Digital Imaging for Blood Diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Frauke Wilm is often cited by papers focused on AI in cancer detection (10 papers), Digital Imaging for Blood Diseases (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Frauke Wilm collaborates with scholars based in Germany, Austria and Netherlands. Frauke Wilm's co-authors include Marc Aubreville, Katharina Breininger, Robert Klopfleisch, Christian Marzahl, Christof Bertram, Andreas Maier, Taryn Donovan, P. J. van Diest, Mitko Veta and Samir Jabari and has published in prestigious journals such as Scientific Data, Biomedical Signal Processing and Control and Veterinary Pathology.

In The Last Decade

Frauke Wilm

12 papers receiving 66 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frauke Wilm Germany	5	44	24	23	11	10	14	67
Abtin Riasatian Canada	6	74 1.7×	50 2.1×	23 1.0×	17 1.5×	9 0.9×	7	103
Ke Mei China	5	52 1.2×	35 1.5×	29 1.3×	5 0.5×	14 1.4×	21	110
Dennis Eschweiler Germany	5	27 0.6×	19 0.8×	22 1.0×	19 1.7×	8 0.8×	8	70
Oscar Jiménez–del–Toro Switzerland	7	57 1.3×	68 2.8×	20 0.9×	12 1.1×	18 1.8×	14	111
Uday Kurkure United States	4	24 0.5×	34 1.4×	10 0.4×	8 0.7×	14 1.4×	6	67
Milad Sikaroudi Canada	5	63 1.4×	26 1.1×	22 1.0×	5 0.5×	3 0.3×	5	90
Adam Shephard United Kingdom	6	70 1.6×	63 2.6×	19 0.8×	15 1.4×	5 0.5×	11	128
Tianyuan Yao United States	6	48 1.1×	48 2.0×	47 2.0×	10 0.9×	11 1.1×	29	118
Martin Hedlund Sweden	6	62 1.4×	37 1.5×	38 1.7×	6 0.5×	12 1.2×	13	96
Alicja Rączkowska Poland	4	76 1.7×	49 2.0×	38 1.7×	15 1.4×	12 1.2×	4	121

Countries citing papers authored by Frauke Wilm

Since Specialization

Citations

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

Fields of papers citing papers by Frauke Wilm

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frauke Wilm

This figure shows the co-authorship network connecting the top 25 collaborators of Frauke Wilm. A scholar is included among the top collaborators of Frauke Wilm 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 Frauke Wilm. Frauke Wilm 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:

14 of 14 papers shown

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.

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.

Stathonikos, Nikolas, Marc Aubreville, Sjoerd de Vries, et al.. (2024). Breast cancer survival prediction using an automated mitosis detection pipeline. The Journal of Pathology Clinical Research. 10(6). e70008–e70008. 1 indexed citations

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

Wilm, Frauke, Christian Ihling, Gábor Méhes, et al.. (2023). Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry. Journal of Pathology Informatics. 14. 100301–100301. 3 indexed citations

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

Rübner, Matthias, Carol I. Geppert, Frauke Wilm, et al.. (2023). Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. 1–5. 4 indexed citations

Wilm, Frauke, Christof Bertram, Nikolas Stathonikos, et al.. (2023). Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. 1–5. 2 indexed citations

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

10.

Marzahl, Christian, Dorothee Bienzle, Lutz Welker, et al.. (2022). Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens. Scientific Data. 9(1). 269–269. 5 indexed citations

11.

Wilm, Frauke, Christian Marzahl, Katharina Breininger, & Marc Aubreville. (2022). Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis. Lecture notes in computer science. 4 indexed citations

12.

Wilm, Frauke, Christian Marzahl, Christof Bertram, et al.. (2021). Iterative Cross-Scanner Registration for Whole Slide Images. 582–590. 1 indexed citations

13.

Marzahl, Christian, Frauke Wilm, Lars Tharun, et al.. (2021). Robust Quad-Tree based Registration on Whole Slide Images. 181–190. 4 indexed citations

14.

Wilm, Frauke, Robert Richer, Stefan Gradl, et al.. (2018). “MigraineMonitor” – Towards a System for the Prediction of Migraine Attacks using Electrostimulation. Current Directions in Biomedical Engineering. 4(1). 629–632. 3 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