Cycles and clustering in bipartite networks PG Lind, MC Gonzalez, HJ Herrmann Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 72 (5 …, 2005 | 302 | 2005 |
Spreading gossip in social networks PG Lind, LR Da Silva, JS Andrade Jr, HJ Herrmann Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 76 (3 …, 2007 | 178 | 2007 |
Air quality prediction using optimal neural networks with stochastic variables A Russo, F Raischel, PG Lind Atmospheric Environment 79, 822-830, 2013 | 171 | 2013 |
System of mobile agents to model social networks MC González, PG Lind, HJ Herrmann Physical review letters 96 (8), 088702, 2006 | 164 | 2006 |
Coherence in scale-free networks of chaotic maps PG Lind, JAC Gallas, HJ Herrmann Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 70 (5 …, 2004 | 116 | 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 | 103 | 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 | 98 | 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 | 83 | 2015 |
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 | 57 | 2009 |
The spread of gossip in American schools PG Lind, LR da Silva, JS Andrade, HJ Herrmann Europhysics Letters 78 (6), 68005, 2007 | 56 | 2007 |
Wind speed modeling by nested ARIMA processes SK Sim, P Maass, PG Lind Energies 12 (1), 69, 2018 | 55 | 2018 |
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 | 54 | 2017 |
New approaches to model and study social networks PG Lind, HJ Herrmann New Journal of Physics 9 (7), 228, 2007 | 49 | 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 | 45 | 2016 |
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 | 41 | 2011 |
Fatigue load estimation through a simple stochastic model PG Lind, I Herráez, M Wächter, J Peinke Energies 7 (12), 8279-8293, 2014 | 40 | 2014 |
Deposition of general ellipsoidal particles RM Baram, PG Lind Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (4 …, 2012 | 39 | 2012 |
Reducing stochasticity in the North Atlantic Oscillation index with coupled Langevin equations PG Lind, A Mora, JAC Gallas, M Haase Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 72 (5 …, 2005 | 39 | 2005 |
Networks based on collisions among mobile agents MC González, PG Lind, HJ Herrmann Physica D: Nonlinear Phenomena 224 (1-2), 137-148, 2006 | 38 | 2006 |
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—Statistical, Nonlinear, and Soft Matter Physics 81 (4 …, 2010 | 35 | 2010 |