David Groisser

590 total citations
27 papers, 347 citations indexed

About

David Groisser is a scholar working on Geometry and Topology, Applied Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Groisser has authored 27 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Geometry and Topology, 7 papers in Applied Mathematics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Groisser's work include Morphological variations and asymmetry (6 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Numerical Analysis Techniques (4 papers). David Groisser is often cited by papers focused on Morphological variations and asymmetry (6 papers), Medical Image Segmentation Techniques (4 papers) and Advanced Numerical Analysis Techniques (4 papers). David Groisser collaborates with scholars based in United States, Australia and South Korea. David Groisser's co-authors include Thomas H. Parker, Jörg Peters, Daniel S. Freed, Hemant D. Tagare, Oskar Škrinjar, Armin Schwartzman, Donal O’Shea, Sungkyu Jung, Vic Patrangenaru and Michael K. Murray and has published in prestigious journals such as Communications in Mathematical Physics, Transactions of the American Mathematical Society and Inventiones mathematicae.

In The Last Decade

David Groisser

26 papers receiving 316 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Groisser United States 11 135 94 82 61 58 27 347
Bernard Gostiaux France 3 63 0.5× 87 0.9× 56 0.7× 35 0.6× 33 0.6× 3 308
Wayne Rossman Japan 13 390 2.9× 472 5.0× 144 1.8× 71 1.2× 27 0.5× 63 650
D. Barden United Kingdom 7 262 1.9× 97 1.0× 21 0.3× 92 1.5× 102 1.8× 13 417
T. Duchamp United States 11 109 0.8× 100 1.1× 35 0.4× 73 1.2× 88 1.5× 19 360
Stephanie Alexander United States 14 205 1.5× 268 2.9× 31 0.4× 64 1.0× 30 0.5× 37 416
Markus Kiderlen Denmark 11 73 0.5× 197 2.1× 26 0.3× 20 0.3× 79 1.4× 48 282
Yung-Chow Wong Hong Kong 11 172 1.3× 207 2.2× 56 0.7× 60 1.0× 40 0.7× 37 405
Martins Bruveris Austria 8 84 0.6× 63 0.7× 36 0.4× 30 0.5× 36 0.6× 14 184
Wade Ramey United States 9 213 1.6× 544 5.8× 41 0.5× 175 2.9× 37 0.6× 16 718
Ernst Kuwert Germany 10 261 1.9× 500 5.3× 124 1.5× 89 1.5× 8 0.1× 21 651

Countries citing papers authored by David Groisser

Since Specialization
Citations

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

Fields of papers citing papers by David Groisser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Groisser

This figure shows the co-authorship network connecting the top 25 collaborators of David Groisser. A scholar is included among the top collaborators of David Groisser 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 David Groisser. David Groisser 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.
Jung, Sungkyu, Brian Rooks, David Groisser, & Armin Schwartzman. (2025). Averaging symmetric positive-definite matrices on the space of eigen-decompositions. Bernoulli. 31(2). 2 indexed citations
2.
Groisser, David & Jörg Peters. (2015). Matched Gk-constructions always yield Ck-continuous isogeometric elements. Computer Aided Geometric Design. 34. 67–72. 58 indexed citations
3.
Patrangenaru, Vic, et al.. (2013). Nonparametric two-sample tests on homogeneous Riemannian manifolds, Cholesky decompositions and Diffusion Tensor Image analysis. Journal of Multivariate Analysis. 119. 163–175. 15 indexed citations
4.
Bhattacharya, Ritwik, Ian L. Dryden, David Groisser, et al.. (2011). Extrinsic Data Analysis on Sample Spaces with a Manifold Stratification. Data Archiving and Networked Services (DANS). 4. 1–15. 2 indexed citations
5.
Tagare, Hemant D., David Groisser, & Oskar Škrinjar. (2009). Symmetric Non-rigid Registration: A Geometric Theory and Some Numerical Techniques. Journal of Mathematical Imaging and Vision. 34(1). 61–88. 20 indexed citations
6.
Groisser, David & Hemant D. Tagare. (2009). On the Topology and Geometry of Spaces of Affine Shapes. Journal of Mathematical Imaging and Vision. 34(2). 222–233. 3 indexed citations
7.
Groisser, David. (2008). Certain optimal correspondences between plane curves, I: Manifolds of shapes and bimorphisms. Transactions of the American Mathematical Society. 361(6). 2959–3000. 3 indexed citations
8.
Groisser, David. (2008). Certain optimal correspondences between plane curves, II: Existence, local uniqueness, regularity, and other properties. Transactions of the American Mathematical Society. 361(6). 3001–3030. 3 indexed citations
9.
Groisser, David. (2006). Some Differential-Geometric Remarks on a Method for Minimizing Constrained Functionals of Matrix-Valued Functions. Journal of Mathematical Imaging and Vision. 24(3). 349–358. 1 indexed citations
10.
Tagare, Hemant D., David Groisser, & Oskar Škrinjar. (2006). A Geometric Theory of Symmetric Registration. 73–73. 9 indexed citations
11.
Groisser, David. (2004). Newton's method, zeroes of vector fields, and the Riemannian center of mass. Advances in Applied Mathematics. 33(1). 95–135. 35 indexed citations
12.
Groisser, David. (1998). TOTALLY GEODESIC BOUNDARIES OF YANG-MILLS MODULI SPACES. 1 indexed citations
13.
Groisser, David & Michael K. Murray. (1997). Instantons and the Information Metric. Annals of Global Analysis and Geometry. 15(6). 519–537. 6 indexed citations
14.
Groisser, David & Thomas H. Parker. (1997). Sharp decay estimates for Yang–Mills fields. Communications in Analysis and Geometry. 5(3). 439–474. 5 indexed citations
15.
Groisser, David. (1993). Curvature of Yang–Mills moduli spaces near the boundary, I. Communications in Analysis and Geometry. 1(2). 139–216. 5 indexed citations
16.
Groisser, David & Thomas H. Parker. (1990). Semiclassical Yang-Mills theory I: Instantons. Communications in Mathematical Physics. 135(1). 101–140. 3 indexed citations
17.
Freed, Daniel S. & David Groisser. (1989). The basic geometry of the manifold of Riemannian metrics and of its quotient by the diffeomorphism group.. The Michigan Mathematical Journal. 36(3). 42 indexed citations
18.
Groisser, David & Thomas H. Parker. (1989). The geometry of the Yang-Mills moduli space for definite manifolds. Journal of Differential Geometry. 29(3). 27 indexed citations
19.
Groisser, David & Thomas H. Parker. (1987). The Riemannian geometry of the Yang-Mills moduli space. Communications in Mathematical Physics. 112(4). 663–689. 31 indexed citations
20.
Groisser, David. (1983). SU(2) Yang-Mills-Higgs theory on R〓3〓. UMI eBooks. 4 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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