Dagmar Kainmüller

6 papers and 140 indexed citations i.

About

Dagmar Kainmüller is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Dagmar Kainmüller has authored 6 papers receiving a total of 140 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Computational Theory and Mathematics. Recurrent topics in Dagmar Kainmüller’s work include Graph Theory and Algorithms (3 papers), Advanced Graph Neural Networks (2 papers) and Combinatorial Optimization and Complexity Theory (2 papers). Dagmar Kainmüller is often cited by papers focused on Graph Theory and Algorithms (3 papers), Advanced Graph Neural Networks (2 papers) and Combinatorial Optimization and Complexity Theory (2 papers). Dagmar Kainmüller collaborates with scholars based in Germany, Finland and United States. Dagmar Kainmüller's co-authors include Paul Swoboda, Eugene W. Myers, Stephanie Spannl, Bogdan Savchynskyy, Frank Jülicher, Natalie A. Dye, Raphaël Etournay, Suzanne Eaton, Marko Popović and Carsten Rother and has published in prestigious journals such as Development, International Journal of Computer Assisted Radiology and Surgery and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

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

Fields of papers citing papers by Dagmar Kainmüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dagmar Kainmüller

Since Specialization
Citations

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