| Random walk hierarchy measure: What is more hierarchical, a chain, a tree or a star? D Czégel, G Palla Scientific reports 5 (1), 1-14, 2015 | 28 | 2015 |
| Phase space volume scaling of generalized entropies and anomalous diffusion scaling governed by corresponding non-linear Fokker-Planck equations D Czégel, SG Balogh, P Pollner, G Palla Scientific reports 8 (1), 1-8, 2018 | 8 | 2018 |
| Generalized entropies, density of states, and non-extensivity SG Balogh, G Palla, P Pollner, D Czégel Scientific reports 10 (1), 1-12, 2020 | 4 | 2020 |
| Multilevel selection as Bayesian inference, major transitions in individuality as structure learning D Czégel, I Zachar, E Szathmáry Royal Society open science 6 (8), 190202, 2019 | 4 | 2019 |
| One problem, too many solutions: How costly is honest signalling of need? S Számadó, D Czégel, I Zachar PloS one 14 (1), e0208443, 2019 | 2 | 2019 |
| Major evolutionary transitions as Bayesian structure learning D Czégel, I Zachar, E Szathmáry bioRxiv, 359596, 2018 | 1 | 2018 |
| Darwinian dynamics over recurrent neural computations for combinatorial problem solving D Czégel, H Giaffar, M Csillag, B Futó, E Szathmáry bioRxiv, 2020 | | 2020 |
| Constructing Graphs from Genetic Encodings DL Barabasi, D Czegel bioRxiv, 2020 | | 2020 |
| Evolutionary implementation of Bayesian computations D Czégel, H Giaffar, I Zachar, E Szathmáry bioRxiv, 685842, 2019 | | 2019 |
| How many causal pathways must symptoms form before we call them a borderline? A hierarchical network model of borderline personality disorder Z Unoka, MJ Richman, D Czégel PsyArXiv, 2018 | | 2018 |
| On the shape of semantic space-what can we infer from large-scale statistical properties of texts? D Czégel CSIC-UIB-Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC), 2017 | | 2017 |
| Relation between morphological and associative structure of Hungarian words D Czégel, Z Lengyel, C Pléh Italian journal of linguistics 28 (1), 7-24, 2016 | | 2016 |
| Mental lexicon: two sides of hierarchical organization from big data A Szanto, J Venczeli, D Kovacs, L Kovacs, C Pleh, D Czegel | | |
| Statistical associative structure changes with age D Czegel, C Pleh | | |
| Unsupervised learning of morphology: how to measure unpredictability? A Horvath, D Czegel, C Oravecz, C Pleh | | |
Gergely PallaScientific advisor, MTA-ELTE Statistical and Biological Physics Research Group, EötvösVerified email at hal.elte.hu
