Pedro G. Lind
Pedro G. Lind
Professor, Oslo Metropolitan University, Norway
Verified email at - Homepage
Cited by
Cited by
Cycles and clustering in bipartite networks
PG Lind, MC Gonzalez, HJ Herrmann
Physical review E 72 (5), 056127, 2005
Spreading gossip in social networks
PG Lind, LR Da Silva, JS Andrade Jr, HJ Herrmann
Physical Review E 76 (3), 036117, 2007
Air quality prediction using optimal neural networks with stochastic variables
A Russo, F Raischel, PG Lind
Atmospheric Environment 79, 822-830, 2013
System of mobile agents to model social networks
MC González, PG Lind, HJ Herrmann
Physical review letters 96 (8), 088702, 2006
Coherence in scale-free networks of chaotic maps
PG Lind, JAC Gallas, HJ Herrmann
Physical Review E 70 (5), 056207, 2004
Promoting learning and innovation in organizations through complexity leadership theory
M Mendes, C Gomes, P Marques-Quinteiro, P Lind, L Curral
Team Performance Management 22 (5/6), 301-309, 2016
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
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
Wind speed modeling by nested ARIMA processes
SK Sim, P Maass, PG Lind
Energies 12 (1), 69, 2018
The dune size distribution and scaling relations of barchan dune fields
O Durán, V Schwämmle, PG Lind, HJ Herrmann
Granular Matter 11, 7-11, 2009
The spread of gossip in American schools
PG Lind, LR da Silva, JS Andrade, HJ Herrmann
Europhysics Letters 78 (6), 68005, 2007
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
New approaches to model and study social networks
PG Lind, HJ Herrmann
New Journal of Physics 9 (7), 228, 2007
The Langevin approach: An R package for modeling Markov processes
P Rinn, PG Lind, M Wächter, J Peinke
arXiv preprint arXiv:1603.02036, 2016
Fatigue load estimation through a simple stochastic model
PG Lind, I Herráez, M Wächter, J Peinke
Energies 7 (12), 8279-8293, 2014
Size distribution and structure of Barchan dune fields
O Durán, V Schwämmle, PG Lind, HJ Herrmann
Nonlinear Processes in Geophysics 18 (4), 455-467, 2011
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
Deposition of general ellipsoidal particles
RM Baram, PG Lind
Physical Review E 85 (4), 041301, 2012
Networks based on collisions among mobile agents
MC González, PG Lind, HJ Herrmann
Physica D: Nonlinear Phenomena 224 (1-2), 137-148, 2006
Leadership as an emergent feature in social organizations: Insights from a laboratory simulation experiment
L Curral, P Marques-Quinteiro, C Gomes, PG Lind
PloS one 11 (12), e0166697, 2016
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