Get started
Author

Janusz Szwabiński

Observed names: J. Szwabiński, JANUSZ SZWABIǸSKI, SZWABIŃSKI, Janusz, Szwabinski, Janusz, Szwabiński, Janusz
ORCID: 0000-0002-6992-3634
Observed ORCID: 0000-0002-6992-3634
OpenAlex ID: A5034612031
Objective comparison of methods to decode anomalous diffusion
2021 · Gorka Muñoz-Gil, Giovanni Volpe, et al. · Nature Communications · 253
PDF
Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach
2019 · Patrycja Kowalek, Hanna Loch-Olszewska, et al. · Physical review. E · 139
PDF
Motion of influential players can support cooperation in Prisoner’s Dilemma
2009 · M. Droz, J. Szwabiński, et al. · The European Physical Journal B · 76
Classification of particle trajectories in living cells: Machine learning versus statistical testing hypothesis for fractional anomalous diffusion
2020 · Joanna Janczura, Patrycja Kowalek, et al. · Physical review. E · 65
PDF
Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories
2023 · Henrik Seckler, Janusz Szwabiński, et al. · The Journal of Physical Chemistry Letters · 50
PDF
Conformity, Anticonformity and Polarization of Opinions: Insights from a Mathematical Model of Opinion Dynamics
2017 · Tyll Krueger, Janusz Szwabiński, et al. · Entropy · 46
PDF
Is the Person-Situation Debate Important for Agent-Based Modeling and Vice-Versa?
2014 · Katarzyna Sznajd-Weron, Janusz Szwabiński, et al. · PLoS ONE · 43
Boosting the performance of anomalous diffusion classifiers with the proper choice of features
2022 · Patrycja Kowalek, Hanna Loch-Olszewska, et al. · Journal of Physics A Mathematical and Theoretical · 34
PDF
Impact of Feature Choice on Machine Learning Classification of Fractional Anomalous Diffusion
2020 · Hanna Loch-Olszewska, Janusz Szwabiński · Entropy · 34
The Interplay Between Conformity and Anticonformity and its Polarizing Effect on Society
2016 · Patryk Siedlecki, Janusz Szwabiński, et al. · Journal of Artificial Societies and Social Simulation · 32
PDF
Rewiring the network. What helps an innovation to diffuse?
2014 · Katarzyna Sznajd-Weron, Janusz Szwabiński, et al. · Journal of Statistical Mechanics Theory and Experiment · 29
PDF
Detection of Anomalous Diffusion with Deep Residual Networks
2021 · Miłosz Gajowczyk, Janusz Szwabiński · Entropy · 21
PDF
Attribution Markers and Data Mining in Art Authentication
2021 · Barbara I. Łydżba-Kopczyńska, Janusz Szwabiński · Molecules · 15
PDF
Effects of random habitat destruction in a predator–prey model
2005 · Janusz Szwabiński, Andrzej Pe¸kalski · Physica A Statistical Mechanics and its Applications · 14
Mapping the q -voter model: From a single chain to complex networks
2015 · Arkadiusz Jȩdrzejewski, Katarzyna Sznajd-Weron, et al. · Physica A Statistical Mechanics and its Applications · 13
PDF
Complex population dynamics as a competition between multiple-time-scale phenomena
2007 · Ioana Bena, Michel Droz, et al. · Physical Review E · 12
PDF
Opinion Evolution in Divided Community
2022 · Tomasz Weron, Janusz Szwabiński · Entropy · 11
PDF
Food web model with detritus path
2010 · Janusz Szwabiński, Andrzej Pękalski, et al. · Physica A Statistical Mechanics and its Applications · 11
Extinction risk and structure of a food web model
2008 · Andrzej Pękalski, Janusz Szwabiński, et al. · Physical Review E · 10
PDF
Best portfolio management strategies for synthetic and real assets
2019 · Jarosław Gruszka, Janusz Szwabiński · Physica A Statistical Mechanics and its Applications · 9
PDF
Dynamics of three types of annual plants competing for water and light
2012 · Andrzej Pȩkalski, Janusz Szwabiński · Physica A Statistical Mechanics and its Applications · 9
Composition of the Influence Group in the q-Voter Model and Its Impact on the Dynamics of Opinions
2024 · Tomasz Weron, Piotr Nyczka, et al. · Entropy · 7
PDF
Advanced strategies of portfolio management in the Heston market model
2021 · Jarosław Gruszka, Janusz Szwabiński · Physica A Statistical Mechanics and its Applications · 7
PDF
Detection of ε-ergodicity breaking in experimental data—A study of the dynamical functional sensibility
2018 · Hanna Loch-Olszewska, Janusz Szwabiński · The Journal of Chemical Physics · 6
Theoretical study of the dynamic structure factor of superfluid 4He
2001 · J. Szwabiński, M. Weyrauch · Physical review. B, Condensed matter · 6
PDF
Works count: 52
Citation count: 982
H-index: 14
I10-index: 19
Year
Topic
Type