| A Smeary Central Limit Theorem for Manifolds with Application to High Dimensional Spheres B Eltzner, SF Huckemann https://arxiv.org/abs/1801.06581, 2018 | 470* | 2018 |
| Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric Lie group actions S Huckemann, T Hotz, A Munk Statistica Sinica, 1-58, 2010 | 269 | 2010 |
| Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces S Huckemann, H Ziezold Advances in Applied Probability 38 (2), 299-319, 2006 | 118 | 2006 |
| Global models for the orientation field of fingerprints: an approach based on quadratic differentials S Huckemann, T Hotz, A Munk IEEE transactions on pattern analysis and machine intelligence 30 (9), 1507-1519, 2008 | 111 | 2008 |
| Sticky central limit theorems on open books T Hotz, S Skwerer, S Huckemann, H Le, JS Marron, JC Mattingly, E Miller, ... | 89 | 2013 |
| The filament sensor for near real-time detection of cytoskeletal fiber structures B Eltzner, C Wollnik, C Gottschlich, S Huckemann, F Rehfeldt PloS one 10 (5), e0126346, 2015 | 87 | 2015 |
| Nested sphere statistics of skeletal models SM Pizer, S Jung, D Goswami, J Vicory, X Zhao, R Chaudhuri, JN Damon, ... Innovations for Shape Analysis: Models and Algorithms, 93-115, 2013 | 75 | 2013 |
| Intrinsic means on the circle: uniqueness, locus and asymptotics T Hotz, S Huckemann Annals of the Institute of Statistical Mathematics 67, 177-193, 2015 | 71 | 2015 |
| Intrinsic inference on the mean geodesic of planar shapes and tree discrimination by leaf growth SF Huckemann | 71 | 2011 |
| Filter design and performance evaluation for fingerprint image segmentation DH Thai, S Huckemann, C Gottschlich PloS one 11 (5), e0154160, 2016 | 66 | 2016 |
| Inference on 3d procrustes means: Tree bole growth, rank deficient diffusion tensors and perturbation models S Huckemann Scandinavian Journal of Statistics 38 (3), 424-446, 2011 | 62 | 2011 |
| Intrinsic MANOVA for Riemannian manifolds with an application to Kendall's space of planar shapes S Huckemann, T Hotz, A Munk IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (4), 593-603, 2009 | 62 | 2009 |
| Torus principal component analysis with applications to RNA structure B Eltzner, S Huckemann, KV Mardia | 50 | 2018 |
| On the meaning of mean shape: Manifold stability, locus and the two sample test SF Huckemann Annals of the Institute of Statistical Mathematics 64, 1227-1259, 2012 | 43 | 2012 |
| Separating the real from the synthetic: minutiae histograms as fingerprints of fingerprints C Gottschlich, S Huckemann IET Biometrics 3 (4), 291-301, 2014 | 40 | 2014 |
| Möbius deconvolution on the hyperbolic plane with application to impedance density estimation SF Huckemann, PT Kim, JY Koo, A Munk | 38 | 2010 |
| Information geometry for phylogenetic trees MK Garba, TMW Nye, J Lueg, SF Huckemann Journal of Mathematical Biology 82, 1-39, 2021 | 34 | 2021 |
| Sticky central limit theorems at isolated hyperbolic planar singularities S Huckemann, J Mattingly, E Miller, J Nolen | 33 | 2015 |
| Tree-oriented analysis of brain artery structure S Skwerer, E Bullitt, S Huckemann, E Miller, I Oguz, M Owen, ... Journal of mathematical imaging and vision 50, 126-143, 2014 | 31 | 2014 |
| Huiling Le, JS Marron, Jonathan C. Mattingly, Ezra Miller, James Nolen, Megan Owen, Vic Patrangenaru, and Sean Skwerer. Sticky central limit theorems on open books T Hotz, S Huckemann Annals of Applied Probability 23, 2238-2258, 2013 | 28 | 2013 |
Benjamin EltznerMax Planck Institute for Multidisciplinary SciencesVerified email at mpinat.mpg.de
