Pedro G. Lind

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Citations	2066	1062
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i10-index	44	30

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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-QuinteiroISPA- Instituto UniversitárioVerified email at ispa.pt
Vitor V. LopesNational Laboratory for Energy and GeologyVerified email at laseeb.org
Ricardo M TrigoAssociate Professor, Univ LisbonVerified email at fc.ul.pt
Veit SchwämmleUniversity of Southern DenmarkVerified email at bmb.sdu.dk
Orencio Duran VinentAssistant Professor, Texas A&M University, Department of Ocean EngineeringVerified email at tamu.edu
Jürgen KurthsProfessor of Physics, Humboldt University BerlinVerified email at pik-potsdam.de
Tim RogersUniversity of BathVerified email at bath.ac.uk
Vítor V. VasconcelosComputational Science Lab @ University of AmsterdamVerified email at uva.nl
Adriano MoreiraUniversity of Aveiro, University of Minho, Centro AlgoritmiVerified email at dsi.uminho.pt
Gunnar SeemannInstitute for Experimental Cardiovascular Medicine, University Heart Center Freiburg • Bad KrozingenVerified email at universitaets-herzzentrum.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
Marcelo Amanajas PiresPhD in Physics at the Brazilian Center for Research in Physics (CBPF)Verified email at cbpf.br

Pedro G. Lind

Professor, Oslo Metropolitan University, Norway

Verified email at oslomet.no - Homepage

Data Modelling and Analysis 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	239	2005
System of mobile agents to model social networks MC González, PG Lind, HJ Herrmann Physical review letters 96 (8), 088702, 2006	154	2006
Spreading gossip in social networks PG Lind, LR Da Silva, JS Andrade Jr, HJ Herrmann Physical Review E 76 (3), 036117, 2007	148	2007
Air quality prediction using optimal neural networks with stochastic variables A Russo, F Raischel, PG Lind Atmospheric Environment 79, 822-830, 2013	126	2013
Coherence in scale-free networks of chaotic maps PG Lind, JAC Gallas, HJ Herrmann Physical Review E 70 (5), 056207, 2004	113	2004
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	82	2006
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	70	2016
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	67	2015
The spread of gossip in American schools PG Lind, LR da Silva, JS Andrade Jr, HJ Herrmann EPL (Europhysics Letters) 78 (6), 68005, 2007	53	2007
New approaches to model and study social networks PG Lind, HJ Herrmann New Journal of Physics 9 (7), 228, 2007	44	2007
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	41	2009
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	39	2017
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
Fatigue load estimation through a simple stochastic model PG Lind, I Herráez, M Wächter, J Peinke Energies 7 (12), 8279-8293, 2014	34	2014
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	34	2005
Deposition of general ellipsoidal particles RM Baram, PG Lind Physical Review E 85 (4), 041301, 2012	32	2012
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	29	2004
Wind speed modeling by nested ARIMA processes SK Sim, P Maass, PG Lind Energies 12 (1), 69, 2019	28	2019
The Langevin approach: An R package for modeling Markov processes P Rinn, PG Lind, M Wächter, J Peinke arXiv preprint arXiv:1603.02036, 2016	28	2016
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	28	2010

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