Markus Kiderlen
Impact in
- Applied Mathematics top 5%
- Point processes and geometric inequalities
- Geometric Analysis and Curvature Flows
Papers in
-
- Point processes and geometric inequalities 35
-
- Digital Image Processing Techniques 16
- Medical Image Segmentation Techniques 9
- Co-authors
- Eva B. Vedel Jensen (6 shared papers)Richard J. Gardner (5 shared papers)Wolfgang Weil (4 shared papers)Paul Goodey (3 shared papers)Jan Rataj (1 shared paper)Johanna F. Ziegel (1 shared paper)Andreas Pfrang (1 shared paper)Karl‐Anton Dorph‐Petersen (2 shared papers)
- Journals
- Advances in Applied Probability (8 papers)Journal of Microscopy (5 papers)Advances in Applied Mathematics (4 papers)Image Analysis & Stereology (3 papers)Discrete & Computational Geometry (2 papers)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Markus Kiderlen
43 papers receiving 259 citations
Peers
Comparison fields: 5 of 63
- Applied Mathematics 197
- Computational Mathematics 6
- Computer Graphics and Computer-Aided Design 34
- Geometry and Topology 73
- Computer Vision and Pattern Recognition 79
Countries citing papers authored by Markus Kiderlen
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).
Fields of papers citing papers by Markus Kiderlen
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.
Co-authors
The 17 scholars most cited alongside Markus Kiderlen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 32 | |
| 2 | 1998 | 19 | |
| 3 | 2006 | 16 | |
| 4 | 2009 | 13 | |
| 5 | 2008 | 12 | |
| 6 | 2017 | 12 | |
| 7 | 2005 | 12 | |
| 8 | 2007 | 11 | |
| 9 | 2006 | 11 | |
| 10 | 2001 | 11 | |
| 11 | 2003 | 10 | |
| 12 | 1999 | 10 | |
| 13 | 2008 | 9 | |
| 14 | 2004 | 8 | |
| 15 | 2014 | 8 | |
| 16 | 2016 | 6 | |
| 17 | 2017 | 6 | |
| 18 | 2014 | 5 | |
| 19 | 2015 | 5 | |
| 20 | 2011 | 5 |
About Markus Kiderlen
Markus Kiderlen is a scholar working on Applied Mathematics, Computer Vision and Pattern Recognition, Geometry and Topology, Statistics and Probability and Artificial Intelligence, having authored 48 papers that have together received 282 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (35 papers), Digital Image Processing Techniques (16 papers), Medical Image Segmentation Techniques (9 papers), Morphological variations and asymmetry (6 papers), Computational Geometry and Mesh Generation (5 papers), Medical Imaging Techniques and Applications (4 papers), Advanced Statistical Methods and Models (4 papers) and Topological and Geometric Data Analysis (4 papers). The work is most often cited by research in Applied Mathematics (197 citations), Computational Mathematics (6 citations), Computer Graphics and Computer-Aided Design (34 citations), Geometry and Topology (73 citations) and Computer Vision and Pattern Recognition (79 citations). Markus Kiderlen has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Eva B. Vedel Jensen, Richard J. Gardner, Wolfgang Weil, Paul Goodey, Jan Rataj, Johanna F. Ziegel, Andreas Pfrang, Karl‐Anton Dorph‐Petersen, Daniel Hug and Ute Hahn. Their work appears in journals such as Advances in Applied Probability, Journal of Microscopy, Advances in Applied Mathematics, Image Analysis & Stereology and Discrete & Computational Geometry.
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.