Pedro G. Lind

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Hans J. HerrmannPMMH, ESPCI ParisVerified email at fisica.ufc.br
Joachim PeinkeUniversity OldenburgVerified email at uni-oldenburg.de
Jason Alfredo Carlson GallasInstituto de Altos Estudos da Paraíba, Joao Pessoa, BrazilVerified email at pks.mpg.de
Marta C. GonzalezUC Berkeley and Lawrence Berkeley National LaboratoryVerified email at berkeley.edu
Ana RussoIDLVerified email at fc.ul.pt
José S. Andrade Jr.Professor of Physics, Universidade Federal do CearáVerified email at fisica.ufc.br
Pedro Marques-QuinteiroECEO, Universidade LusófonaVerified email at ulusofona.pt
Vitor V. LopesNational Laboratory for Energy and GeologyVerified email at laseeb.org
Orencio Duran VinentAssistant Professor, Texas A&M University, Department of Ocean EngineeringVerified email at tamu.edu
Veit SchwämmleUniversity of Southern DenmarkVerified email at bmb.sdu.dk
Ricardo M TrigoAssociate Professor, Univ LisbonVerified email at fc.ul.pt
Tim RogersUniversity of BathVerified email at bath.ac.uk
Jürgen KurthsProfessor of Physics, Humboldt University BerlinVerified email at pik-potsdam.de
Adriano MoreiraUniversity of Aveiro, University of Minho, Centro AlgoritmiVerified email at dsi.uminho.pt
Vítor V. VasconcelosComputational Science Lab @ University of AmsterdamVerified email at uva.nl
Gunnar SeemannDr. Gunnar Seemann Academic Coaching, formerly KIT and University FreiburgVerified email at academic.coach
W. MedjroubiDLR Institute of Networked Energy SystemsVerified email at dlr.de
Diego MazaProfessor of Applied Physics, Universidad de NavarraVerified email at unav.es
Norbert HoffmannHamburg University of Technology, Imperial College LondonVerified email at tuhh.de
Nobuhito MoriDisaster Prevention Research Institute, Kyoto UniversityVerified email at oceanwave.jp

Pedro G. Lind

Professor, Oslo Metropolitan University, Norway

Verified email at oslomet.no - Homepage

Data Science AI & Applications Energy & Climate Health Society


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Cycles and clustering in bipartite networks PG Lind, MC Gonzalez, HJ Herrmann Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 72 (5 …, 2005	305	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	179	2007
Air quality prediction using optimal neural networks with stochastic variables A Russo, F Raischel, PG Lind Atmospheric Environment 79, 822-830, 2013	176	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	108	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	85	2015
Wind speed modeling by nested ARIMA processes SK Sim, P Maass, PG Lind Energies 12 (1), 69, 2018	60	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	60	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
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	55	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	47	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	42	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	40	2012
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	39	2016
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

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