Sebastian Kurtek

3.3k total citations
64 papers, 767 citations indexed

About

Sebastian Kurtek is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Sebastian Kurtek has authored 64 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Geometry and Topology, 33 papers in Computer Vision and Pattern Recognition and 12 papers in Computational Mechanics. Recurrent topics in Sebastian Kurtek's work include Morphological variations and asymmetry (44 papers), Image Processing and 3D Reconstruction (14 papers) and Image Retrieval and Classification Techniques (13 papers). Sebastian Kurtek is often cited by papers focused on Morphological variations and asymmetry (44 papers), Image Processing and 3D Reconstruction (14 papers) and Image Retrieval and Classification Techniques (13 papers). Sebastian Kurtek collaborates with scholars based in United States, United Kingdom and Australia. Sebastian Kurtek's co-authors include Anuj Srivastava, Eric Klassen, Zhaohua Ding, Hamid Laga, Stanley J. Miklavcic, Ying Sun, Malcolm J. Avison, John C. Gore, Wei Wu and Mahmood Reza Golzarian and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biometrika.

In The Last Decade

Sebastian Kurtek

58 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Kurtek United States 17 370 326 166 97 95 64 767
Sadeep Jayasumana Australia 7 41 0.1× 317 1.0× 56 0.3× 145 1.5× 6 0.1× 10 520
Samuel Gerber United States 12 29 0.1× 201 0.6× 27 0.2× 109 1.1× 15 0.2× 23 469
Shantanu Joshi United States 3 221 0.6× 292 0.9× 98 0.6× 110 1.1× 1 0.0× 5 581
E. Persoon Netherlands 5 46 0.1× 782 2.4× 61 0.4× 128 1.3× 28 0.3× 10 980
Xiaohong Jia China 15 34 0.1× 167 0.5× 239 1.4× 82 0.8× 12 0.1× 64 648
Jesús Malo Spain 20 11 0.0× 548 1.7× 25 0.2× 149 1.5× 10 0.1× 89 1.2k
Joviša Žunić United Kingdom 15 17 0.0× 462 1.4× 86 0.5× 51 0.5× 30 0.3× 71 702
Mirosław Bober United Kingdom 14 14 0.0× 842 2.6× 43 0.3× 110 1.1× 7 0.1× 68 1.0k
Rozenn Dahyot Ireland 17 7 0.0× 979 3.0× 66 0.4× 100 1.0× 11 0.1× 73 1.2k
Santiago Velasco-Forero France 14 4 0.0× 259 0.8× 89 0.5× 97 1.0× 31 0.3× 50 603

Countries citing papers authored by Sebastian Kurtek

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Kurtek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sebastian Kurtek

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

All Works

20 of 20 papers shown
1.
Kurtek, Sebastian, et al.. (2025). Sequential Bayesian Registration for Functional Data. Statistics and Computing. 35(4). 108–108.
2.
Bauer, Martin, et al.. (2024). Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms. Journal of Nonlinear Science. 34(3). 1 indexed citations
3.
Brophy, Juliet K., et al.. (2024). Classification of Bovidae fossils from Gladysvale, South Africa using elastic shape analysis. Journal of Archaeological Science. 166. 105959–105959.
4.
Kurtek, Sebastian, et al.. (2023). Shape and Intensity Analysis of Glioblastoma Multiforme Tumors. 56. 553–560.
5.
Mohammed, Shariq, et al.. (2023). Tumor radiogenomics in gliomas with Bayesian layered variable selection. Medical Image Analysis. 90. 102964–102964. 2 indexed citations
6.
Guo, Xiaohan, et al.. (2022). Variograms for kriging and clustering of spatial functional data with phase variation. Spatial Statistics. 51. 100687–100687. 2 indexed citations
7.
Kurtek, Sebastian, et al.. (2021). Tangent functional canonical correlation analysis for densities and shapes, with applications to multimodal imaging data. Repository@Nottingham (University of Nottingham). 3 indexed citations
8.
Kurtek, Sebastian, et al.. (2020). Simplifying Transforms for General Elastic Metrics on the Space of Plane Curves. SIAM Journal on Imaging Sciences. 13(1). 445–473. 7 indexed citations
9.
Joshi, Shantanu H., Qian Xie, Sebastian Kurtek, Anuj Srivastava, & Hamid Laga. (2016). Surface Shape Morphometry for Hippocampal Modeling in Alzheimer's Disease. 32. 1–8. 5 indexed citations
10.
Saha, Abhijoy, Sebastian Kurtek, Joonsang Lee, et al.. (2016). DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer. NeuroImage Clinical. 12. 132–143. 12 indexed citations
11.
Kurtek, Sebastian, et al.. (2015). A Novel Riemannian Framework for Shape Analysis of Annotated Surfaces. 3.1–3.11. 2 indexed citations
12.
Kurtek, Sebastian & Hassen Drira. (2015). A comprehensive statistical framework for elastic shape analysis of 3D faces. Computers & Graphics. 51. 52–59. 10 indexed citations
13.
Ramsay, J. O., Paul L. Gribble, & Sebastian Kurtek. (2014). Analysis of juggling data: Landmark and continuous registration of juggling trajectories. Electronic Journal of Statistics. 8(2). 2 indexed citations
14.
Laga, Hamid, Sebastian Kurtek, Anuj Srivastava, & Stanley J. Miklavcic. (2014). Landmark-free statistical analysis of the shape of plant leaves. Journal of Theoretical Biology. 363. 41–52. 43 indexed citations
15.
Kurtek, Sebastian, et al.. (2013). Statistical analysis of manual segmentations of structures in medical images. Computer Vision and Image Understanding. 117(9). 1036–1050. 15 indexed citations
16.
Kurtek, Sebastian, Anuj Srivastava, & Wei Wu. (2011). Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment. Neural Information Processing Systems. 24. 675–683. 24 indexed citations
17.
Srivastava, Anuj, Wei Wu, Sebastian Kurtek, Eric Klassen, & J. S. Marron. (2011). Statistical Analysis and Modeling of Elastic Functions. arXiv (Cornell University). 13 indexed citations
18.
Kurtek, Sebastian, Eric Klassen, John C. Gore, Zhaohua Ding, & Anuj Srivastava. (2011). Elastic Geodesic Paths in Shape Space of Parameterized Surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 34(9). 1717–1730. 52 indexed citations
19.
Kurtek, Sebastian, Eric Klassen, Zhaohua Ding, et al.. (2011). Parameterization-Invariant Shape Comparisons of Anatomical Surfaces. IEEE Transactions on Medical Imaging. 30(3). 849–858. 45 indexed citations
20.
Kurtek, Sebastian, Eric Klassen, Zhaohua Ding, Malcolm J. Avison, & Anuj Srivastava. (2011). Parameterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces. Lecture notes in computer science. 22. 147–158. 24 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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