| Parameterizable consensus connectomes from the human connectome project: the budapest reference connectome server v3. 0 B Szalkai, C Kerepesi, B Varga, V Grolmusz Cognitive neurodynamics 11, 113-116, 2017 | 61 | 2017 |
| Graph theoretical analysis reveals: Women’s brains are better connected than men’s B Szalkai, B Varga, V Grolmusz PLoS One 10 (7), e0130045, 2015 | 54 | 2015 |
| Near perfect protein multi-label classification with deep neural networks B Szalkai, V Grolmusz Methods 132, 50-56, 2018 | 52 | 2018 |
| The budapest reference connectome server v2. 0 B Szalkai, C Kerepesi, B Varga, V Grolmusz Neuroscience Letters 595, 60-62, 2015 | 44 | 2015 |
| How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain C Kerepesi, B Szalkai, B Varga, V Grolmusz PLoS One 11 (6), e0158680, 2016 | 39 | 2016 |
| How to Direct the Edges of the Connectomes: Dynamics of the Consensus Connectomes and the Development of the Connections in the Human Brain C Kerepesi, B Szalkai, B Varga, V Grolmusz PLoS One 11 (6), e0158680, 2016 | 39 | 2016 |
| The braingraph. org database of high resolution structural connectomes and the brain graph tools C Kerepesi, B Szalkai, B Varga, V Grolmusz Cognitive Neurodynamics 11, 483-486, 2017 | 30 | 2017 |
| Method and apparatus for generating a displacement map of an input dataset pair R Csordás, Á Kis-Benedek, B Szalkai US Patent 10,380,753, 2019 | 29 | 2019 |
| SECLAF: a webserver and deep neural network design tool for hierarchical biological sequence classification B Szalkai, V Grolmusz Bioinformatics 34 (14), 2487-2489, 2018 | 27 | 2018 |
| SECLAF: a webserver and deep neural network design tool for hierarchical biological sequence classification B Szalkai, V Grolmusz Bioinformatics 34 (14), 2487-2489, 2018 | 27 | 2018 |
| Comparative connectomics: Mapping the inter-individual variability of connections within the regions of the human brain C Kerepesi, B Szalkai, B Varga, V Grolmusz Neuroscience Letters 662, 17-21, 2018 | 26 | 2018 |
| High-resolution directed human connectomes and the consensus connectome dynamics B Szalkai, C Kerepesi, B Varga, V Grolmusz PLoS One 14 (4), e0215473, 2019 | 23 | 2019 |
| Identifying combinatorial biomarkers by association rule mining in the CAMD Alzheimer's database B Szalkai, VK Grolmusz, VI Grolmusz, CAM Diseases Archives of gerontology and geriatrics 73, 300-307, 2017 | 21 | 2017 |
| Brain size bias compensated graph-theoretical parameters are also better in women’s structural connectomes B Szalkai, B Varga, V Grolmusz Brain Imaging and Behavior 12, 663-673, 2018 | 18 | 2018 |
| The graph of our mind B Szalkai, B Varga, V Grolmusz Brain Sciences 11 (3), 342, 2021 | 17 | 2021 |
| Mapping correlations of psychological and structural connectome properties of the dataset of the human connectome project with the maximum spanning tree method B Szalkai, B Varga, V Grolmusz Brain Imaging and Behavior 13, 1185-1192, 2019 | 17* | 2019 |
| On contact numbers of totally separable unit sphere packings K Bezdek, B Szalkai, I Szalkai Discrete Mathematics 339 (2), 668-676, 2016 | 17 | 2016 |
| The robustness and the doubly-preferential attachment simulation of the consensus connectome dynamics of the human brain B Szalkai, B Varga, V Grolmusz Scientific Reports 7 (1), 16118, 2017 | 16 | 2017 |
| Visual analysis of the quantitative composition of metagenomic communities: the AmphoraVizu webserver C Kerepesi, B Szalkai, V Grolmusz Microbial ecology 69, 695-697, 2015 | 16 | 2015 |
| The dorsal striatum and the dynamics of the consensus connectomes in the frontal lobe of the human brain C Kerepesi, B Varga, B Szalkai, V Grolmusz Neuroscience Letters 673, 51-55, 2018 | 14 | 2018 |
