Frauke Wilm

830 total papers · 461 total citations
14 papers, 66 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 66 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 Advanced Image and Video Retrieval Techniques (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 Advanced Image and Video Retrieval Techniques (2 papers). Frauke Wilm collaborates with scholars based in Germany, Austria and Netherlands. Frauke Wilm's co-authors include Marc Aubreville, Katharina Breininger, Christian Marzahl, Robert Klopfleisch, Christof Bertram, Andreas Maier, P. J. van Diest, Nikolas Stathonikos, Taryn Donovan 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 65 citations

Author Peers

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

Author Last Decade Papers Cites
Frauke Wilm 43 23 23 11 10 14 66
Oscar Jiménez–del–Toro 53 1.2× 20 0.9× 63 2.7× 12 1.1× 18 1.8× 13 104
Dennis Eschweiler 27 0.6× 21 0.9× 19 0.8× 19 1.7× 8 0.8× 8 68
Ke Mei 49 1.1× 27 1.2× 33 1.4× 5 0.5× 14 1.4× 20 104
Talha Qaiser 65 1.5× 47 2.0× 52 2.3× 20 1.8× 9 0.9× 12 112
Adam Shephard 66 1.5× 19 0.8× 62 2.7× 15 1.4× 5 0.5× 11 121
Martin Hedlund 62 1.4× 38 1.7× 37 1.6× 6 0.5× 12 1.2× 12 92
Kaisa Liimatainen 60 1.4× 36 1.6× 26 1.1× 33 3.0× 4 0.4× 8 102
Francis McKay 48 1.1× 8 0.3× 34 1.5× 4 0.4× 7 0.7× 11 107
Mustafa Nasir-Moin 61 1.4× 14 0.6× 58 2.5× 5 0.5× 21 2.1× 12 110
Leonardo O. Iheme 54 1.3× 16 0.7× 26 1.1× 3 0.3× 6 0.6× 13 82

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

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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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