Pedro G. Lind
Pedro G. Lind
Professor, Oslo Metropolitan University, Norway
Verified email at oslomet.no - Homepage
Title
Cited by
Cited by
Year
Cycles and clustering in bipartite networks
PG Lind, MC Gonzalez, HJ Herrmann
Physical review E 72 (5), 056127, 2005
2282005
System of mobile agents to model social networks
MC González, PG Lind, HJ Herrmann
Physical review letters 96 (8), 088702, 2006
1542006
Spreading gossip in social networks
PG Lind, LR Da Silva, JS Andrade Jr, HJ Herrmann
Physical Review E 76 (3), 036117, 2007
1412007
Coherence in scale-free networks of chaotic maps
PG Lind, JAC Gallas, HJ Herrmann
Physical Review E 70 (5), 056207, 2004
1082004
Air quality prediction using optimal neural networks with stochastic variables
A Russo, F Raischel, PG Lind
Atmospheric Environment 79, 822-830, 2013
1062013
Reconstruction of complex dynamical systems affected by strong measurement noise
F Böttcher, J Peinke, D Kleinhans, R Friedrich, PG Lind, M Haase
Physical review letters 97 (9), 090603, 2006
792006
Promoting learning and innovation in organizations through complexity leadership theory
M Mendes, C Gomes, P Marques-Quinteiro, P Lind, L Curral
Team Performance Management, 2016
592016
Neural network forecast of daily pollution concentration using optimal meteorological data at synoptic and local scales
A Russo, PG Lind, F Raischel, R Trigo, M Mendes
Atmospheric Pollution Research 6 (3), 540-549, 2015
552015
The spread of gossip in American schools
PG Lind, LR da Silva, JS Andrade Jr, HJ Herrmann
EPL (Europhysics Letters) 78 (6), 68005, 2007
512007
New approaches to model and study social networks
PG Lind, HJ Herrmann
New Journal of Physics 9 (7), 228, 2007
442007
Networks based on collisions among mobile agents
MC González, PG Lind, HJ Herrmann
Physica D: Nonlinear Phenomena 224 (1-2), 137-148, 2006
392006
The dune size distribution and scaling relations of barchan dune fields
O Durán, V Schwämmle, PG Lind, HJ Herrmann
Granular Matter 11 (1), 7-11, 2009
382009
Normal behaviour models for wind turbine vibrations: Comparison of neural networks and a stochastic approach
PG Lind, L Vera-Tudela, M Wächter, M Kühn, J Peinke
Energies 10 (12), 1944, 2017
372017
Fatigue load estimation through a simple stochastic model
PG Lind, I Herráez, M Wächter, J Peinke
Energies 7 (12), 8279-8293, 2014
342014
Reducing stochasticity in the North Atlantic Oscillation index with coupled Langevin equations
PG Lind, A Mora, JAC Gallas, M Haase
Physical Review E 72 (5), 056706, 2005
342005
Deposition of general ellipsoidal particles
RM Baram, PG Lind
Physical Review E 85 (4), 041301, 2012
292012
Extracting strong measurement noise from stochastic time series: applications to empirical data
PG Lind, M Haase, F Böttcher, J Peinke, D Kleinhans, R Friedrich
Physical Review E 81 (4), 041125, 2010
282010
Inducing coherence in networks of bistable maps by varying the interaction range
PG Lind, J Corte-Real, JAC Gallas
Physical Review E 69 (2), 026209, 2004
282004
Model of mobile agents for sexual interactions networks
MC González, PG Lind, HJ Herrmann
The European Physical Journal B-Condensed Matter and Complex Systems 49 (3 …, 2006
272006
The Langevin approach: An R package for modeling Markov processes
P Rinn, PG Lind, M Wächter, J Peinke
arXiv preprint arXiv:1603.02036, 2016
232016
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Articles 1–20