Markus Kiderlen

562 total citations
48 papers, 282 citations indexed

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 48 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Applied Mathematics, 20 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 (35 papers), Digital Image Processing Techniques (16 papers) and Medical Image Segmentation Techniques (9 papers). Markus Kiderlen is often cited by papers focused on Point processes and geometric inequalities (35 papers), Digital Image Processing Techniques (16 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 Eva B. Vedel Jensen, Wolfgang Weil, Richard J. Gardner, Paul Goodey, Jan Rataj, Johanna F. Ziegel, Andreas Pfrang, Karl‐Anton Dorph‐Petersen, Daniel Hug and Steffen Greilich and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in mathematics and Transactions of the American Mathematical Society.

In The Last Decade

Markus Kiderlen

43 papers receiving 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Markus Kiderlen Denmark	11	197	79	73	34	26	48	282
Jan Rataj Czechia	12	267 1.4×	53 0.7×	110 1.5×	22 0.6×	20 0.8×	52	363
Martins Bruveris Austria	8	63 0.3×	36 0.5×	84 1.2×	5 0.1×	36 1.4×	14	184
Pascal Romon France	9	144 0.7×	21 0.3×	132 1.8×	10 0.3×	18 0.7×	23	216
Joseph H. G. Fu United States	14	338 1.7×	28 0.4×	218 3.0×	30 0.9×	48 1.8×	25	467
Johann S. Brauchart Australia	10	94 0.5×	32 0.4×	16 0.2×	10 0.3×	34 1.3×	17	225
Jin‐ichi Itoh Japan	8	150 0.8×	19 0.2×	117 1.6×	66 1.9×	47 1.8×	42	265
Yuri Nikolayevsky Australia	10	226 1.1×	25 0.3×	209 2.9×	38 1.1×	14 0.5×	46	310
Kristopher Tapp United States	6	64 0.3×	15 0.2×	65 0.9×	12 0.4×	17 0.7×	24	174
Endre Makai Hungary	10	173 0.9×	15 0.2×	61 0.8×	30 0.9×	8 0.3×	48	283

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).

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.

Co-authorship network of co-authors of Markus Kiderlen

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Kiderlen. A scholar is included among the top collaborators of Markus Kiderlen 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 Markus Kiderlen. Markus Kiderlen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kiderlen, Markus, et al.. (2025). Confidence intervals for Newton–Cotes quadratures based on stationary point processes. Statistical Methods & Applications. 34(1). 39–67.

Kiderlen, Markus, et al.. (2024). A Blaschke–Petkantschin formula for linear and affine subspaces with application to intersection probabilities. Nonlinear Analysis. 250. 113672–113672.

Kiderlen, Markus, et al.. (2021). Discrepancy of stratified samples from partitions of the unit cube. Research Portal (Queen's University Belfast). 4 indexed citations

Gardner, Richard J. & Markus Kiderlen. (2018). Operations between functions. Communications in Analysis and Geometry. 26(4). 787–855. 3 indexed citations

Hug, Daniel, et al.. (2017). Voronoi-Based Estimation of Minkowski Tensors from Finite Point Samples. Discrete & Computational Geometry. 57(3). 545–570. 4 indexed citations

Jensen, Eva B. Vedel & Markus Kiderlen. (2017). Tensor Valuations and Their Applications in Stochastic Geometry and Imaging. Lecture notes in mathematics. 12 indexed citations

Kiderlen, Markus, et al.. (2016). Reconstruction of convex bodies from surface tensors. Advances in Applied Mathematics. 76. 1–33. 6 indexed citations

Kiderlen, Markus, et al.. (2015). Surface tensor estimation from linear sections. Mathematische Nachrichten. 288(14-15). 1647–1672. 5 indexed citations

Kiderlen, Markus, et al.. (2014). The invariator principle in convex geometry. Advances in Applied Mathematics. 58. 63–87. 5 indexed citations

10.

Campi, Stefano, Richard J. Gardner, Paolo Gronchi, & Markus Kiderlen. (2012). Lightness functions. Advances in Mathematics. 231(6). 3118–3146. 3 indexed citations

11.

Kiderlen, Markus, et al.. (2011). Image‐Based Empirical Importance Sampling: An Efficient Way of Estimating Intensities. Scandinavian Journal of Statistics. 38(3). 393–408. 1 indexed citations

12.

Gardner, Richard J. & Markus Kiderlen. (2008). A New Algorithm for 3D Reconstruction from Support Functions. IEEE Transactions on Pattern Analysis and Machine Intelligence. 31(3). 556–562. 12 indexed citations

13.

Gardner, Richard J. & Markus Kiderlen. (2007). A solution to Hammer's X-ray reconstruction problem. Advances in Mathematics. 214(1). 323–343. 11 indexed citations

14.

Kiderlen, Markus. (2006). Estimating the Euler Characteristic of a planar set from a digital image. Journal of Visual Communication and Image Representation. 17(6). 1237–1255. 11 indexed citations

15.

Jensen, Eva B. Vedel, et al.. (2004). Directional analysis of digitized three‐dimensional images by configuration counts. Journal of Microscopy. 216(2). 175–185. 4 indexed citations

16.

Jensen, Eva B. Vedel & Markus Kiderlen. (2003). Directional analysis of digitized planar sets by configuration counts. Journal of Microscopy. 212(2). 158–168. 2 indexed citations

17.

Kiderlen, Markus & Eva B. Vedel Jensen. (2003). Estimation of the directional measure of planar random sets by digitization. Advances in Applied Probability. 35(3). 583–602. 2 indexed citations

18.

Kiderlen, Markus & Eva B. Vedel Jensen. (2003). Estimation of the directional measure of planar random sets by digitization. Advances in Applied Probability. 35(3). 583–602. 10 indexed citations

19.

Kiderlen, Markus. (2002). Determination of the mean normal measure from isotropic means of flat sections. Advances in Applied Probability. 34(3). 505–519. 3 indexed citations

20.

Goodey, Paul, Markus Kiderlen, & Wolfgang Weil. (1998). Section and projection means of convex bodies. Monatshefte für Mathematik. 126(1). 37–54. 19 indexed citations

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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