| On a general definition of depth for functional data I Gijbels, S Nagy | 71 | 2017 |
| Depth-based recognition of shape outlying functions S Nagy, I Gijbels, D Hlubinka Journal of Computational and Graphical Statistics 26 (4), 883-893, 2017 | 56 | 2017 |
| Integrated depth for functional data: statistical properties and consistency S Nagy, I Gijbels, M Omelka, D Hlubinka ESAIM: Probability and Statistics 20, 95-130, 2016 | 54 | 2016 |
| Halfspace depth and floating body S Nagy, C Schütt, EM Werner | 51 | 2019 |
| Halfspace depth does not characterize probability distributions S Nagy Statistical Papers 62 (3), 1135-1139, 2021 | 25 | 2021 |
| Consistency of non-integrated depths for functional data I Gijbels, S Nagy Journal of Multivariate Analysis 140, 259-282, 2015 | 24 | 2015 |
| Data depth for measurable noisy random functions S Nagy, F Ferraty Journal of Multivariate Analysis 170, 95-114, 2019 | 23 | 2019 |
| Approximate computation of projection depths R Dyckerhoff, P Mozharovskyi, S Nagy Computational statistics & data analysis 157, 107166, 2021 | 20 | 2021 |
| Uniform convergence rates for the approximated halfspace and projection depth S Nagy, R Dyckerhoff, P Mozharovskyi | 19 | 2020 |
| An overview of consistency results for depth functionals S Nagy Functional statistics and related fields, 189-196, 2017 | 15 | 2017 |
| Illumination depth S Nagy, J Dvořák Journal of Computational and Graphical Statistics 30 (1), 78-90, 2021 | 14 | 2021 |
| The halfspace depth characterization problem S Nagy Conference of the International Society for Non-Parametric Statistics, 379-389, 2018 | 14 | 2018 |
| ddalpha: Depth-based classification and calculation of data depth O Pokotylo, P Mozharovskyi, R Dyckerhoff, S Nagy R package version 1 (1.1), 2017 | 14 | 2017 |
| Weak convergence of discretely observed functional data with applications S Nagy, I Gijbels, D Hlubinka Journal of Multivariate Analysis 146, 46-62, 2016 | 14 | 2016 |
| Monotonicity properties of spatial depth S Nagy Statistics & Probability Letters 129, 373-378, 2017 | 12 | 2017 |
| Consistency of h-mode depth S Nagy Journal of Statistical Planning and Inference 165, 91-103, 2015 | 12 | 2015 |
| Scalar-on-function local linear regression and beyond F Ferraty, S Nagy Biometrika 109 (2), 439-455, 2022 | 11 | 2022 |
| Statistical depth for functional data S Nagy Univerzita Karlova, Matematicko-fyzikální fakulta, 2016 | 10 | 2016 |
| On smoothness of Tukey depth contours I Gijbels, S Nagy Statistics 50 (5), 1075-1085, 2016 | 10 | 2016 |
| Integrated data depth for smooth functions and its application in supervised classification D Hlubinka, I Gijbels, M Omelka, S Nagy Computational Statistics 30, 1011-1031, 2015 | 10 | 2015 |
