Dagmar Kainmueller

18 papers and 214 indexed citations i.

About

Dagmar Kainmueller is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Biomedical Engineering. According to data from OpenAlex, Dagmar Kainmueller has authored 18 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Biophysics and 4 papers in Biomedical Engineering. Recurrent topics in Dagmar Kainmueller’s work include Medical Image Segmentation Techniques (5 papers), Cell Image Analysis Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). Dagmar Kainmueller is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Cell Image Analysis Techniques (5 papers) and Digital Imaging for Blood Diseases (4 papers). Dagmar Kainmueller collaborates with scholars based in Germany, United States and France. Dagmar Kainmueller's co-authors include Stefan Zachow, Hans Lamecker, Hans‐Christian Hege, Heiko Seim, Max Zinser, Florian Jug, Carsten Rother, Eugene W. Myers, Gene Myers and Benoît Lombardot and has published in prestigious journals such as Nature Biotechnology, Development and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Dagmar Kainmueller i

Fields of papers citing papers by Dagmar Kainmueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dagmar Kainmueller

Since Specialization
Citations

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

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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