Markus Kiderlen

51 papers and 350 indexed citations i.

About

Markus Kiderlen is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition and Geometry and Topology. According to data from OpenAlex, Markus Kiderlen has authored 51 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Applied Mathematics, 19 papers in Computer Vision and Pattern Recognition and 13 papers in Geometry and Topology. Recurrent topics in Markus Kiderlen’s work include Point processes and geometric inequalities (38 papers), Digital Image Processing Techniques (15 papers) and Medical Image Segmentation Techniques (9 papers). Markus Kiderlen is often cited by papers focused on Point processes and geometric inequalities (38 papers), Digital Image Processing Techniques (15 papers) and Medical Image Segmentation Techniques (9 papers). Markus Kiderlen collaborates with scholars based in Denmark, Germany and United States. Markus Kiderlen's co-authors include Richard J. Gardner, Eva B. Vedel Jensen, Wolfgang Weil, Peyman Milanfar, Jan Rataj, Johanna F. Ziegel, Paul Goodey, Andreas Pfrang, Gabriele Bianchi and Daniel Hug and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Annals of Statistics and Lecture notes in mathematics.

In The Last Decade

Co-authorship network of co-authors of Markus Kiderlen i

Fields of papers citing papers by Markus Kiderlen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Markus Kiderlen

Since Specialization
Citations

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