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
José S. Andrade Jr.Professor of Physics, Universidade Federal do CearáVerified email at fisica.ufc.br
Ana RussoIDLVerified email at fc.ul.pt
Pedro Marques-QuinteiroTRIE, ECEO, Universidade LusófonaVerified email at ulusofona.pt
Vitor V. LopesNational Laboratory for Energy and GeologyVerified email at laseeb.org
Veit SchwämmleUniversity of Southern DenmarkVerified email at bmb.sdu.dk
Ricardo M TrigoAssociate Professor, Univ LisbonVerified email at fc.ul.pt
Orencio Duran VinentAssistant Professor, Texas A&M University, Department of Ocean EngineeringVerified email at tamu.edu
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
W. MedjroubiDLR Institute of Networked Energy SystemsVerified email at dlr.de
Gunnar SeemannDr. Gunnar Seemann Academic Coaching, formerly KIT and University FreiburgVerified email at academic.coach
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 72 (5), 056127, 2005	289	2005
Spreading gossip in social networks PG Lind, LR Da Silva, JS Andrade Jr, HJ Herrmann Physical Review E 76 (3), 036117, 2007	175	2007
System of mobile agents to model social networks MC González, PG Lind, HJ Herrmann Physical review letters 96 (8), 088702, 2006	163	2006
Air quality prediction using optimal neural networks with stochastic variables A Russo, F Raischel, PG Lind Atmospheric Environment 79, 822-830, 2013	162	2013
Coherence in scale-free networks of chaotic maps PG Lind, JAC Gallas, HJ Herrmann Physical Review E 70 (5), 056207, 2004	115	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	96	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	96	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	80	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	54	2009
Wind speed modeling by nested ARIMA processes SK Sim, P Maass, PG Lind Energies 12 (1), 69, 2018	51	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	51	2017
The spread of gossip in American schools PG Lind, LR da Silva, JS Andrade, HJ Herrmann Europhysics Letters 78 (6), 68005, 2007	50	2007
New approaches to model and study social networks PG Lind, HJ Herrmann New Journal of Physics 9 (7), 228, 2007	47	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	41	2016
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	40	2005
Fatigue load estimation through a simple stochastic model PG Lind, I Herráez, M Wächter, J Peinke Energies 7 (12), 8279-8293, 2014	39	2014
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
Deposition of general ellipsoidal particles RM Baram, PG Lind Physical Review E 85 (4), 041301, 2012	37	2012
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	36	2010
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	34	2016

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