André Homeyer

1.4k total citations
37 papers, 835 citations indexed

About

André Homeyer is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, André Homeyer has authored 37 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in André Homeyer's work include AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Liver Disease Diagnosis and Treatment (7 papers). André Homeyer is often cited by papers focused on AI in cancer detection (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers) and Liver Disease Diagnosis and Treatment (7 papers). André Homeyer collaborates with scholars based in Germany, United States and Sweden. André Homeyer's co-authors include Michael Schwier, Hendrik Laue, Felix Ritter, Tobias Boskamp, Heinz‐Otto Peitgen, Florian Link, Horst K. Hahn, Geert Litjens, N. K. Timofeeva and Jeroen van der Laak and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

André Homeyer

37 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André Homeyer Germany 13 376 294 229 117 115 37 835
David Clunie United States 19 244 0.6× 351 1.2× 156 0.7× 47 0.4× 50 0.4× 44 838
Michał Byra Poland 15 723 1.9× 817 2.8× 220 1.0× 50 0.4× 230 2.0× 42 1.3k
Yading Yuan United States 12 503 1.3× 314 1.1× 230 1.0× 31 0.3× 130 1.1× 37 971
Jan Hendrik Moltz Germany 16 204 0.5× 644 2.2× 211 0.9× 29 0.2× 80 0.7× 47 965
Wouter Bulten Netherlands 8 752 2.0× 530 1.8× 275 1.2× 103 0.9× 50 0.4× 9 998
Theresa Thai United States 12 331 0.9× 519 1.8× 170 0.7× 23 0.2× 39 0.3× 32 1.0k
Marios A. Gavrielides United States 21 416 1.1× 737 2.5× 187 0.8× 139 1.2× 32 0.3× 68 1.2k
Aaron D. Ward Canada 23 352 0.9× 961 3.3× 400 1.7× 54 0.5× 38 0.3× 134 1.9k
Jun Cheng China 17 276 0.7× 324 1.1× 105 0.5× 44 0.4× 38 0.3× 73 1.0k

Countries citing papers authored by André Homeyer

Since Specialization
Citations

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

Fields of papers citing papers by André Homeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of André Homeyer

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

All Works

20 of 20 papers shown
1.
Feuerhake, Friedrich, Joachim Weis, Sarah Teuber‐Hanselmann, et al.. (2024). Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review. SHILAP Revista de lepidopterología. 2(1). 16–16. 13 indexed citations
2.
Zerbe, Norman, Lars Ole Schwen, Christian Geißler, et al.. (2024). Joining forces for pathology diagnostics with AI assistance: The EMPAIA initiative. Journal of Pathology Informatics. 15. 100387–100387. 8 indexed citations
3.
Herrmann, Markus D., David Clunie, William Kingdon Clifford, et al.. (2023). The NCI Imaging Data Commons as a platform for reproducible research in computational pathology. Computer Methods and Programs in Biomedicine. 242. 107839–107839. 5 indexed citations
4.
Homeyer, André, Johannes Lotz, Lars Ole Schwen, et al.. (2021). Artificial Intelligence in Pathology: From Prototype to Product. Journal of Pathology Informatics. 12(1). 13–13. 23 indexed citations
5.
Wei, Weiwei, Tianjiao Zhang, Olaf Dirsch, et al.. (2021). Additional partial hepatectomy at the time of portal vein ligation accelerates the regeneration of the future liver remnant. Scientific Reports. 11(1). 11740–11740. 3 indexed citations
6.
Schwen, Lars Ole, Sebastian Bauer, Martin Goetz, et al.. (2020). 1659P AI-based grading approach identifies FNCLCC grade 3 soft tissue sarcomas. Annals of Oncology. 31. S988–S988. 1 indexed citations
7.
Homeyer, André, et al.. (2019). Automated density-based counting of FISH amplification signals for HER2 status assessment. Computer Methods and Programs in Biomedicine. 173. 77–85. 13 indexed citations
8.
Homeyer, André, et al.. (2018). Deep learning nuclei detection: A simple approach can deliver state-of-the-art results. Computerized Medical Imaging and Graphics. 70. 43–52. 49 indexed citations
9.
Homeyer, André, Seddik Hammad, Lars Ole Schwen, et al.. (2018). Focused scores enable reliable discrimination of small differences in steatosis. Diagnostic Pathology. 13(1). 76–76. 7 indexed citations
10.
Schwen, Lars Ole, Emilia Andersson, Konstanty Korski, et al.. (2018). Data-Driven Discovery of Immune Contexture Biomarkers. Frontiers in Oncology. 8. 627–627. 20 indexed citations
11.
Wei, Weiwei, et al.. (2017). Modulation of hepatic perfusion did not improve recovery from hepatic outflow obstruction. BMC Pharmacology and Toxicology. 18(1). 50–50. 3 indexed citations
12.
Homeyer, André, et al.. (2017). Training Nuclei Detection Algorithms with Simple Annotations. Journal of Pathology Informatics. 8(1). 21–21. 7 indexed citations
13.
Schwen, Lars Ole, André Homeyer, Michael Schwier, et al.. (2016). Zonated quantification of steatosis in an entire mouse liver. Computers in Biology and Medicine. 73. 108–118. 37 indexed citations
14.
Wei, Weiwei, Tianjiao Zhang, Haoshu Fang, et al.. (2016). Intrahepatic Size Regulation in a Surgical Model: Liver Resection-Induced Liver Regeneration Counteracts the Local Atrophy following Simultaneous Portal Vein Ligation. European Surgical Research. 57(1-2). 125–137. 5 indexed citations
15.
Homeyer, André, et al.. (2015). Fast and accurate identification of fat droplets in histological images. Computer Methods and Programs in Biomedicine. 121(2). 59–65. 16 indexed citations
16.
Homeyer, André, et al.. (2014). One Size Fits All. Applied immunohistochemistry & molecular morphology. 24(1). 1–10. 6 indexed citations
17.
Czigány, Zoltán, et al.. (2014). Neural elements behind the hepatoprotection of remote perconditioning. Journal of Surgical Research. 193(2). 642–651. 20 indexed citations
18.
Homeyer, André, et al.. (2013). Practical quantification of necrosis in histological whole-slide images. Computerized Medical Imaging and Graphics. 37(4). 313–322. 26 indexed citations
19.
Homeyer, André, Andrea Schenk, Uta Dahmen, et al.. (2012). A comparison of sampling strategies for histological image analysis. Journal of Pathology Informatics. 2(2). 11–11. 14 indexed citations
20.
Schenk, Andrea, André Homeyer, Meihong Deng, et al.. (2010). A fast and robust hepatocyte quantification algorithm including vein processing. BMC Bioinformatics. 11(1). 124–124. 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.

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