Nora Molkenthin
Nora Molkenthin
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Zitiert von
Zitiert von
Selection of radio pulsar candidates using artificial neural networks
RP Eatough, N Molkenthin, M Kramer, A Noutsos, MJ Keith, BW Stappers, ...
Monthly Notices of the Royal Astronomical Society 407 (4), 2443-2450, 2010
Discrete nonlinear Schrödinger equation and polygonal solitons with applications to collapsed proteins
N Molkenthin, S Hu, AJ Niemi
Physical Review Letters 106 (7), 078102, 2011
Networks from flows-from dynamics to topology
N Molkenthin, K Rehfeld, N Marwan, J Kurths
Scientific reports 4 (1), 4119, 2014
Topology of sustainable management of dynamical systems with desirable states: from defining planetary boundaries to safe operating spaces in the Earth system
J Heitzig, T Kittel, JF Donges, N Molkenthin
Earth System Dynamics 7 (1), 21-50, 2016
Correlation networks from flows. The case of forced and time-dependent advection-diffusion dynamics
L Tupikina, N Molkenthin, C López, E Hernández-García, N Marwan, ...
PLoS One 11 (4), e0153703, 2016
Scaling laws of collective ride-sharing dynamics
N Molkenthin, M Schröder, M Timme
Physical Review Letters 125 (24), 248302, 2020
Characterizing the evolution of climate networks
L Tupikina, K Rehfeld, N Molkenthin, V Stolbova, N Marwan, J Kurths
Nonlinear Processes in Geophysics 21 (3), 705-711, 2014
Characterizing flows by complex network methods
RV Donner, M Lindner, L Tupikina, N Molkenthin
A mathematical modeling approach from nonlinear dynamics to complex systems …, 2019
Topology dependence of on-demand ride-sharing
N Manik, Debsankha· Molkenthin
Applied Network Science 5, 2020
Edge anisotropy and the geometric perspective on flow networks
N Molkenthin, H Kutza, L Tupikina, N Marwan, JF Donges, U Feudel, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (3), 2017
Scaling laws in spatial network formation
N Molkenthin, M Timme
Physical review letters 117 (16), 168301, 2016
On the influence of spatial sampling on climate networks
N Molkenthin, K Rehfeld, V Stolbova, L Tupikina, J Kurths
Nonlinear Processes in Geophysics 21 (3), 651-657, 2014
Moving the epidemic tipping point through topologically targeted social distancing
S Ansari, M Anvari, O Pfeffer, N Molkenthin, MR Moosavi, F Hellmann, ...
The European Physical Journal Special Topics 230 (16), 3273-3280, 2021
Adhesion-induced discontinuous transitions and classifying social networks
N Molkenthin, M Schröder, M Timme
Physical review letters 121 (13), 138301, 2018
Self-organized emergence of folded protein-like network structures from geometric constraints
N Molkenthin, S Mühle, ASJS Mey, M Timme
Plos one 15 (2), e0229230, 2020
Testing the detectability of spatio–temporal climate transitions from paleoclimate networks with the START model
K Rehfeld, N Molkenthin, J Kurths
Nonlinear Processes in Geophysics 21 (3), 691-703, 2014
Collective dynamics of capacity-constrained ride-pooling fleets
RM Zech, N Molkenthin, M Timme, M Schröder
Scientific Reports 12 (1), 10880, 2022
Ensemble analysis of complex network properties—an MCMC approach
O Pfeffer, N Molkenthin, F Hellmann
New Journal of Physics 24 (12), 123027, 2022
Learning Interpretable Collective Variables of the Noisy Voter Model
M Lücke, S Winkelmann, J Heitzig, N Molkenthin, P Koltai
arXiv preprint arXiv:2307.03491, 2023
What geometrically constrained models can tell us about real-world protein contact maps
JJ Güven, N Molkenthin, S Mühle, ASJS Mey
Physical Biology 20 (4), 046004, 2023
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