Eric Klassen

5.8k citations

71 papers · 2.1k indexed · 2 hit papers · h-index 23

Impact in

Geometry and Topology top 0.5%
- Morphological variations and asymmetry
- Geometric and Algebraic Topology
Computer Vision and Pattern Recognition top 1%
- Image Retrieval and Classification Techniques
- Medical Image Segmentation Techniques
- Image Processing and 3D Reconstruction
- Human Pose and Action Recognition

Papers in ⓘ

Geometry and Topology 47
- Morphological variations and asymmetry 35
- Geometric and Algebraic Topology 10
Computer Vision and Pattern Recognition 26
- Image Processing and 3D Reconstruction 11
- Image Retrieval and Classification Techniques 9

Co-authors: Anuj Srivastava (35 shared papers)S. K. Joshi (2 shared papers)Ian H. Jermyn (4 shared papers)Paul Kirk (10 shared papers)Washington Mio (2 shared papers)Sebastian Kurtek (9 shared papers)Shantanu H. Joshi (3 shared papers)Zhaohua Ding (6 shared papers)
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (4 papers)Proceedings of the American Mathematical Society (4 papers)Journal of Mathematical Imaging and Vision (2 papers)Transactions of the American Mathematical Society (2 papers)International Journal of Computer Vision (2 papers)
Partner nations: United States United Kingdom France

In The Last Decade

Eric Klassen

63 papers receiving 2.0k citations

Hit Papers

align trajectories log scale

Functional and Shape Data Analysis 2016 · 183 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2016 Springer series in statistics
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

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-authors

The 25 scholars most cited alongside Eric Klassen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric Klassen Line = papers co-authored together Eric Klassen links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Shape Analysis of Elastic Curves in Euclidean Spaces IEEE Transactions on Pattern Analysis and Machine Intelligence ·Anuj Srivastava, Eric Klassen, S. K. Joshi, Ian H. Jermyn Hit paper breakdown →	2010	338
2	Analysis of planar shapes using geodesic paths on shape spaces IEEE Transactions on Pattern Analysis and Machine Intelligence ·Eric Klassen, Anuj Srivastava, Washington Mio, S. K. Joshi	2004	287
3	Functional and Shape Data Analysis Springer series in statistics ·Anuj Srivastava, Eric Klassen Hit paper breakdown →	2016	183
4	A Novel Representation for Riemannian Analysis of Elastic Curves in Rn PubMed ·Shantanu H. Joshi, Eric Klassen, Anuj Srivastava, Ian H. Jermyn	2007	149
5	Bayesian and geometric subspace tracking Advances in Applied Probability ·Anuj Srivastava, Eric Klassen	2004	71
6	Statistical Modeling of Curves Using Shapes and Related Features Journal of the American Statistical Association ·Sebastian Kurtek, Anuj Srivastava, Eric Klassen, Zhaohua Ding	2012	69
7	Representations of knot groups in 𝑆𝑈(2) Transactions of the American Mathematical Society ·Eric Klassen	1991	59
8	Chern-Simons invariants of 3-manifolds and representation spaces of knot groups Mathematische Annalen ·Paul Kirk, Eric Klassen	1990	55
9	An Intrinsic Framework for Analysis of Facial Surfaces International Journal of Computer Vision ·Chafik Samir, Anuj Srivastava, Mohamed Daoudi, Eric Klassen	2008	53
10	Elastic Geodesic Paths in Shape Space of Parameterized Surfaces IEEE Transactions on Pattern Analysis and Machine Intelligence ·Sebastian Kurtek, Eric Klassen, John C. Gore, Zhaohua Ding, Anuj Srivastava	2011	52
11	Monte Carlo extrinsic estimators of manifold-valued parameters IEEE Transactions on Signal Processing ·Anuj Srivastava, Eric Klassen	2002	52
12	Parameterization-Invariant Shape Comparisons of Anatomical Surfaces IEEE Transactions on Medical Imaging ·Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Sandra W. Jacobson, Joseph L. Jacobson, Malcolm J. Avison, Anuj Srivastava	2011	45
13	A Gradient-Descent Method for Curve Fitting on Riemannian Manifolds Foundations of Computational Mathematics ·Chafik Samir, Pierre-Antoine Absil, Anuj Srivastava, Eric Klassen	2011	43
14	Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework for Shape Analysis of Curves Lecture notes in computer science ·Shantanu H. Joshi, Eric Klassen, Anuj Srivastava, Ian H. Jermyn	2007	42
15	Landmark‐Guided Elastic Shape Analysis of Spherically‐Parameterized Surfaces Computer Graphics Forum ·Sebastian Kurtek, Anuj Srivastava, Eric Klassen, Hamid Laga	2013	40
16	A novel riemannian framework for shape analysis of 3D objects Sebastian Kurtek, Eric Klassen, Zhaohua Ding, Anuj Srivastava	2010	39
17	Representations of Knot Groups in SU(2) Transactions of the American Mathematical Society ·Eric Klassen	1991	39
18	Chern-Simons invariants of 3-manifolds decomposed along tori and the circle bundle over the representation space ofT 2 Communications in Mathematical Physics ·Paul Kirk, Eric Klassen	1993	37
19	Fitting smoothing splines to time-indexed, noisy points on nonlinear manifolds Image and Vision Computing ·Jingyong Su, Ian L. Dryden, Eric Klassen, H. Le, Anuj Srivastava	2011	36
20	Exploiting topological and geometric properties for selective subdivision Pradeep K. Sinha, Eric Klassen, K. K. Wang	1985	30

About Eric Klassen

Eric Klassen is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition, Computational Mechanics, Mathematical Physics and Applied Mathematics, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Morphological variations and asymmetry (35 papers), 3D Shape Modeling and Analysis (14 papers), Image Processing and 3D Reconstruction (11 papers), Geometric and Algebraic Topology (10 papers), Image Retrieval and Classification Techniques (9 papers), Homotopy and Cohomology in Algebraic Topology (8 papers), Advanced Operator Algebra Research (7 papers) and Advanced Numerical Analysis Techniques (6 papers). The work is most often cited by research in Geometry and Topology (1.1k citations), Computer Vision and Pattern Recognition (988 citations), Mathematical Physics (258 citations), Computer Graphics and Computer-Aided Design (78 citations) and Computational Mechanics (452 citations). Eric Klassen has collaborated with scholars based in United States, United Kingdom and France. Frequent 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. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the American Mathematical Society, Journal of Mathematical Imaging and Vision, Transactions of the American Mathematical Society and International Journal of Computer Vision.

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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