Stephan F. Huckemann

Geometry and Topology · 2006–2018

A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Geometry and Topology — 30 citations into it; #2,024 of 7,422 by trust here, #3,762 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 8 citations into it; #33,392 of 35,345 by trust here, #33,294 by citations
• Computational Theory and Mathematics — 8 citations into it
• Statistics and Probability — 8 citations into it
• Applied Mathematics — 6 citations into it; #2,309 of 7,620 by trust here, #4,033 by citations
• Radiology, Nuclear Medicine and Imaging — 6 citations into it

Whom Stephan F. Huckemann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. John C. Gower
2. P. T. Fletcher
3. Huiling Le
4. Ian L. Dryden
5. Sarang C. Joshi
6. Hermann Karcher
7. Rabi N. Bhattacharya
8. Thomas Hotz
9. Xavier Pennec
10. Eric Klassen

Who trusts Stephan F. Huckemann overall

1. Benjamin Eltzner
2. Yoav Zemel
3. Xavier Pennec
4. Emilie Chautru
5. Victor M. Panaretos
6. Edgar Simo-Serra
7. Frederic Sala
8. Thomas Hotz
9. Thomas Hotzand
10. Carme Torras

Papers from Stephan F. Huckemann's perspective

Ordered by how strongly the researchers Stephan F. Huckemann trusts endorse each paper. Same corpus, a different order for every researcher.

1. Riemannian center of mass and mollifier smoothing
2. LARGE SAMPLE THEORY OF INTRINSIC AND EXTRINSIC SAMPLE MEANS ON MANIFOLDS—II
3. Locating Fréchet means with application to shape spaces (Advances in Applied Probability)
4. Statistical Shape Analysis (Computer Vision, A Reference Guide)
5. Principal geodesic analysis for the study of nonlinear statistics of shape (IEEE Transactions on Medical Imaging)
6. Analysis of planar shapes using geodesic paths on shape spaces (IEEE Transactions on Pattern Analysis and Machine Intelligence)
7. Generalized procrustes analysis
8. Geometry of the Space of Phylogenetic Trees (Advances in Applied Mathematics)
9. Inference on 3D Procrustes Means: Tree Bole Growth, Rank Deficient Diffusion Tensors and Perturbation Models
10. Geometric Means in a Novel Vector Space Structure on Symmetric Positive-Definite Matrices (SIAM Journal on Matrix Analysis and Applications)

Their papers

• Sticky central limit theorems on open books (2012) — 109 citations
• A smeary central limit theorem for manifolds with application to high-dimensional spheres (2018) — 58 citations
• Intrinsic means on the circle: uniqueness, locus and asymptotics (2011) — 79 citations
• Inference on 3D Procrustes Means: Tree Bole Growth, Rank Deficient Diffusion Tensors and Perturbation Models (2010) — 55 citations
• Intrinsic shape analysis: Geodesic principal component analysis for Riemannian manifolds modulo Lie group actions. Discussion paper with rejoinder. (2010) — 107 citations
• INTRINSIC SHAPE ANALYSIS: GEODESIC PCA FOR RIEMANNIAN MANIFOLDS MODULO ISOMETRIC LIE GROUP ACTIONS (2007) — 177 citations
• Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces (2006) — 95 citations