Eric Klassen

5.8k total citations · 2 hit papers
71 papers, 2.1k citations indexed

About

Eric Klassen is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Eric Klassen has authored 71 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Geometry and Topology, 26 papers in Computer Vision and Pattern Recognition and 18 papers in Computational Mechanics. Recurrent topics in Eric Klassen's work include Morphological variations and asymmetry (35 papers), 3D Shape Modeling and Analysis (14 papers) and Image Processing and 3D Reconstruction (11 papers). Eric Klassen is often cited by papers focused on Morphological variations and asymmetry (35 papers), 3D Shape Modeling and Analysis (14 papers) and Image Processing and 3D Reconstruction (11 papers). Eric Klassen collaborates with scholars based in United States, United Kingdom and France. Eric Klassen's co-authors include Anuj Srivastava, S. K. Joshi, Ian H. Jermyn, Paul Kirk, Washington Mio, Sebastian Kurtek, Shantanu H. Joshi, Zhaohua Ding, Chafik Samir and Zhengwu Zhang and has published in prestigious journals such as Nucleic Acids Research, Journal of the American Statistical Association and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Eric Klassen

63 papers receiving 2.0k citations

Hit Papers

Shape Analysis of Elastic Curves in Euclidean Spaces 2010 2026 2015 2020 2010 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Klassen United States 23 1.1k 988 452 258 215 71 2.1k
Facundo Mémoli United States 22 234 0.2× 746 0.8× 680 1.5× 248 1.0× 214 1.0× 67 2.2k
Jayant Shah United States 12 215 0.2× 2.7k 2.7× 689 1.5× 305 1.2× 311 1.4× 30 3.8k
Frédéric Chazal France 23 123 0.1× 663 0.7× 423 0.9× 389 1.5× 129 0.6× 63 1.9k
Ulrich Pinkall Germany 31 952 0.8× 515 0.5× 1.7k 3.8× 243 0.9× 35 0.2× 83 3.4k
Feng Luo United States 19 760 0.7× 174 0.2× 514 1.1× 222 0.9× 27 0.1× 71 1.6k
Vincent Arsigny France 14 191 0.2× 974 1.0× 257 0.6× 19 0.1× 205 1.0× 19 2.3k
David Cohen‐Steiner France 26 122 0.1× 1.2k 1.3× 1.9k 4.1× 490 1.9× 107 0.5× 58 4.1k
Leo Dorst Netherlands 20 134 0.1× 615 0.6× 187 0.4× 33 0.1× 121 0.6× 65 1.3k
Luc Florack Netherlands 19 65 0.1× 1.1k 1.2× 132 0.3× 64 0.2× 133 0.6× 101 1.8k
Alexander M. Bronstein Israel 25 198 0.2× 2.5k 2.5× 1.7k 3.8× 16 0.1× 265 1.2× 63 3.5k

Countries citing papers authored by Eric Klassen

Since Specialization
Citations

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

Fields of papers citing papers by Eric Klassen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Klassen

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Klassen. A scholar is included among the top collaborators of Eric Klassen 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 Eric Klassen. Eric Klassen 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.
Bauer, Martin, et al.. (2024). Elastic Metrics on Spaces of Euclidean Curves: Theory and Algorithms. Journal of Nonlinear Science. 34(3). 1 indexed citations
2.
Klassen, Eric, et al.. (2023). Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework. International Journal of Computer Vision. 131(5). 1183–1209. 12 indexed citations
3.
Bauer, Martin, et al.. (2022). The Square Root Normal Field Distance and Unbalanced Optimal Transport. Applied Mathematics & Optimization. 85(3). 4 indexed citations
4.
Charon, Nicolas, et al.. (2021). Supervised deep learning of elastic SRV distances on the shape space of curves. arXiv (Cornell University). 3 indexed citations
5.
Bauer, Martin, Eric Klassen, Stephen C. Preston, & Zhe Su. (2021). A diffeomorphism-invariant metric on the space of vector-valued one-forms. Pure and Applied Mathematics Quarterly. 17(1). 141–183.
6.
Klassen, Eric & Peter W. Michor. (2019). Closed surfaces with different shapes that are indistinguishable by the SRNF. arXiv (Cornell University). 4 indexed citations
7.
Leuski, Anton, et al.. (2019). PRIMER: An Emotionally Aware Virtual Agent.. 4 indexed citations
8.
Su, Zhe, Eric Klassen, & Martin Bauer. (2018). Comparing curves in homogeneous spaces. Differential Geometry and its Applications. 60. 9–32. 6 indexed citations
9.
Zhang, Zhengwu, Eric Klassen, & Anuj Srivastava. (2013). Gaussian Blurring-Invariant Comparison of Signals and Images. IEEE Transactions on Image Processing. 22(8). 3145–3157. 21 indexed citations
10.
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
11.
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
12.
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
13.
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
14.
Joshi, Shantanu H., Eric Klassen, Anuj Srivastava, & Ian H. Jermyn. (2007). Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves. Lecture notes in computer science. 4679. 387–398. 42 indexed citations
15.
Joshi, Shantanu H., Eric Klassen, Anuj Srivastava, & Ian H. Jermyn. (2007). A Novel Representation for Riemannian Analysis of Elastic Curves in Rn. PubMed. 2007(17-22 June 2007). 1–7. 149 indexed citations
16.
Klassen, Eric & Anuj Srivastava. (2006). Geodesics between 3d closed curves using pathstraightening.
17.
Klassen, Eric, Anuj Srivastava, Washington Mio, & S. K. Joshi. (2004). Analysis of planar shapes using geodesic paths on shape spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence. 26(3). 372–383. 287 indexed citations
18.
Klassen, Eric, et al.. (2000). Realizing alternating groups as monodromy groups of genus one covers. Proceedings of the American Mathematical Society. 129(1). 111–119. 6 indexed citations
19.
Kirk, Paul & Eric Klassen. (1991). Representation spaces of Seifert fibered homology spheres. Topology. 30(1). 77–95. 24 indexed citations
20.
Klassen, Eric. (1991). Representations of Knot Groups in SU(2). Transactions of the American Mathematical Society. 326(2). 795–795. 39 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026