| Comparison of similarity measures for categorical data in hierarchical clustering Z Šulc, H Řezanková Journal of Classification 36, 58-72, 2019 | 66 | 2019 |
| Montreal Cognitive Assessment and Mini‐Mental State Examination reliable change indices in healthy older adults M Kopecek, O Bezdicek, Z Sulc, J Lukavsky, H Stepankova International journal of geriatric psychiatry 32 (8), 868-875, 2017 | 62 | 2017 |
| The uniform data set, Czech version: normative data in older adults from an international perspective T Nikolai, H Stepankova, M Kopecek, Z Sulc, M Vyhnalek, O Bezdicek Journal of Alzheimer's Disease 61 (3), 1233-1240, 2018 | 52 | 2018 |
| Motivations, barriers and risk-taking when investing in cryptocurrencies Z Smutny, Z Sulc, J Lansky Mathematics 9 (14), 1655, 2021 | 36 | 2021 |
| Evaluation of recent similarity measures for categorical data Z Šulc, H Řezanková Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu, 2014 | 32 | 2014 |
| Determining a short form Montreal Cognitive Assessment (s-MoCA) Czech version: validity in mild cognitive impairment Parkinson’s disease and cross-cultural comparison O Bezdicek, M Červenková, TM Moore, H Stepankova Georgi, Z Sulc, ... Assessment 27 (8), 1960-1970, 2020 | 26 | 2020 |
| Clinimetric validity of the Trail Making Test Czech version in Parkinson’s disease and normative data for older adults O Bezdicek, H Stepankova, BN Axelrod, T Nikolai, Z Sulc, R Jech, ... The Clinical Neuropsychologist 31 (sup1), 42-60, 2017 | 21 | 2017 |
| A parsimonious scoring and normative calculator for the Parkinson’s disease mild cognitive impairment battery O Bezdicek, Z Sulc, T Nikolai, H Stepankova, M Kopecek, R Jech, ... The Clinical Neuropsychologist 31 (6-7), 1231-1247, 2017 | 21 | 2017 |
| Nomclust 2.0: an R package for hierarchical clustering of objects characterized by nominal variables Z Sulc, J Cibulkova, H Rezankova Computational Statistics 37 (5), 2161-2184, 2022 | 13 | 2022 |
| Internal evaluation criteria for categorical data in hierarchical clustering: optimal number of clusters determination Z Šulc, J Cibulková, J Procházka, H Řezanková Metodoloski zvezki 15 (2), 1-20, 2018 | 10 | 2018 |
| Modifications of the Gower similarity coefficient Z Šulc, M Matejka, J Procházka 19th Conference of Applications of Mathematics and Statistics in Economics …, 2016 | 10 | 2016 |
| Young-old city-dwellers outperform village counterparts in attention and verbal control tasks H Stepankova Georgi, Z Frydrychova, K Horakova Vlckova, L Vidovicova, ... Frontiers in Psychology 10, 1224, 2019 | 9 | 2019 |
| Úvod do statistiky H Řezanková, T Löster, Z Šulc Oeconomica, nakladatelství VŠE, 2019 | 8 | 2019 |
| Dimensionality reduction of categorical data: Comparison of HCA and CATPCA approaches Z Šulc, H Řezanková Proceedings of the 18th International Scientific Conference Applications of …, 2015 | 8 | 2015 |
| Estimating emotions from emojis and their use in computer-mediated communication Z Smutny, N Hancsics, Z Sulc 2020 International Conference Engineering Technologies and Computer Science …, 2020 | 7 | 2020 |
| Evaluation of the Gower coefficient modifications in hierarchical clustering Z Šulc, M Matějka, J Procházka, H Řezanková Metodoloski zvezki 14 (1), 37-48, 2017 | 7 | 2017 |
| Nomclust: hierarchical cluster analysis of nominal data Z Sulc, J Cibulkova, H Rezankova, J Hornicek R package version 2 (1), 2020 | 6 | 2020 |
| Nominal variable clustering and its evaluation H Řezanková, Z Šulc Proceedings of the 8th International Days of Statistics and Economics …, 2014 | 6 | 2014 |
| Decreased emotional creativity and its relationship with cognitive functions in Parkinson’s disease: A preliminary study T Nikolai, Z Sulc, K Balcar, M Kuška, V Plzakova, T Slavickova, R Trnka Applied Neuropsychology: Adult 29 (6), 1484-1491, 2022 | 5 | 2022 |
| Motivations, barriers and risk-taking when investing in cryptocurrencies. Mathematics, 9 (14), 1655 Z Smutny, Z Sulc, J Lansky | 5 | 2021 |
