| A Smeary Central Limit Theorem for Manifolds with Application to High Dimensional Spheres B Eltzner, SF Huckemann https://arxiv.org/abs/1801.06581, 2018 | 230* | 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 | 189 | 2010 |
| Intrinsic shape analysis: Geodesic PCA for Riemannian manifolds modulo isometric Lie group actions S Huckemann, T Hotz, A Munk Statistica Sinica, 1-58, 2010 | 189 | 2010 |
| 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 | 98 | 2008 |
| 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 | 94 | 2006 |
| Sticky central limit theorems on open books T Hotz, S Huckemann, H Le, JS Marron, JC Mattingly, E Miller, J Nolen, ... The Annals of Applied Probability 23 (6), 2238-2258, 2013 | 61 | 2013 |
| Nested sphere statistics of skeletal models SM Pizer, S Jung, D Goswami, J Vicory, X Zhao, R Chaudhuri, JN Damon, ... Innovations for Shape Analysis, 93-115, 2013 | 55 | 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 | 54 | 2015 |
| 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 | 48 | 2011 |
| Intrinsic inference on the mean geodesic of planar shapes and tree discrimination by leaf growth SF Huckemann Annals of statistics 39 (2), 1098-1124, 2011 | 47 | 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 | 46 | 2009 |
| Intrinsic means on the circle: uniqueness, locus and asymptotics T Hotz, S Huckemann Annals of the Institute of Statistical Mathematics 67 (1), 177-193, 2015 | 44 | 2015 |
| Filter design and performance evaluation for fingerprint image segmentation DH Thai, S Huckemann, C Gottschlich PloS one 11 (5), e0154160, 2016 | 43 | 2016 |
| On the meaning of mean shape: manifold stability, locus and the two sample test SF Huckemann Annals of the Institute of Statistical Mathematics 64 (6), 1227-1259, 2012 | 29 | 2012 |
| Möbius deconvolution on the hyperbolic plane with application to impedance density estimation SF Huckemann, PT Kim, JY Koo, A Munk The Annals of Statistics 38 (4), 2465-2498, 2010 | 27 | 2010 |
| 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 (1), 126-143, 2014 | 26 | 2014 |
| Separating the real from the synthetic: minutiae histograms as fingerprints of fingerprints C Gottschlich, S Huckemann IET Biometrics 3 (4), 291-301, 2014 | 26 | 2014 |
| Principal component geodesics for planar shape spaces S Huckemann, T Hotz Journal of Multivariate Analysis 100 (4), 699-714, 2009 | 26 | 2009 |
| Torus principal component analysis with applications to RNA structure B Eltzner, S Huckemann, KV Mardia Annals of Applied Statistics 12 (2), 1332-1359, 2018 | 24 | 2018 |
| Analysis of rotational deformations from directional data J Schulz, S Jung, S Huckemann, M Pierrynowski, JS Marron, SM Pizer Journal of Computational and Graphical Statistics 24 (2), 539-560, 2015 | 19 | 2015 |
Thomas HotzProfessor for Probability Theory and Mathematical Statistics, Technische Universität IlmenauZweryfikowany adres z tu-ilmenau.de
