PUBLICATIONS

2001-2004
2014-2016
2005-2007
2017-2019
2008-2010
2020-2022
2011-2013
2023-2025

2023-2025

[156] Discontinuous trajectories in paleoclimate data,
L.R.Gorjão, K.Riechers, F.Hassanibesheli, K.Lehnertz, M.R.R.Tabar, P.G.Lind, N.Boers, D.Witthaut,
in preparation, 2024
[155] A Python library to classify stochastic processes,
P. Lencastre, S. Bhandari, A. Yazidi, S. Denysov, P.G. Lind,
in preparation, 2025
[154] The movements of the eye: beyond saccades and fixations,
P. Lencastre, A. Yazidi, S. Denysov, P.G. Lind,
in preparation, 2024
[153] Mapping the Evolution of Anti-Muslim Hate Speech in Norwegian Social Media,
Y.Kasahara, D.T.Schroeder, A.Yazidi, P.G.Lind,
in preparation, 2024
[152] Quantitative Explainable AI methods in ECG analysis,
J. Ojha, H. Haugerud, A. Yazidi, P.G. Lind,
in preparation, 2024
[151] AI-Driven Eye-Tracking: Paving the Way for Accessible Health Diagnostics,
P.Lencastre, P.G.Lind, B.Kuriakose
submitted, 2025
[150] Assessing the combined effect of Ivermectin with Primaquine in malaria supression: Insights from an agent-based model,
J.Sequeira, J.Louça, A.Mendes, P.G.Lind,
submitted, 2025
[149] Modelling Eye Gaze Velocity Trajectories using GANs with Spectral Loss for Enhanced Fidelity,
S. Bhandari, R. Mathema, P. Lencastre, A. Yazidi, A. Szorkovsky, P.G. Lind,
submitted, 2025
[148] Foraging for visual information: Distinguishing between Lévy and intermittent strategies,
P.Lencastre, Y.Bystryk, S.Denysov, A.Yazidi, P.G.Lind,
submitted, 2025
[147] Comparative Analysis of Extreme Events’ Identification Methods on the Iberian Peninsula,
M.M.Brekke, P.G.Lind, A.Russo,
submitted, 2025
[146] From Signals to Sight: A Comprehensive Review of Visual Representation Learning from EEG Data,
A.Belhadi, Y.Djenouri, P.G.Lind, G.Srivastava, A.Yazidi,
submitted, 2025
[145] Enhanced Visibility Graph for EEG Classification,
A.Belhadi, P.G.Lind, A.Yazidi, Y.Djenouri, G.Srivastava,
submitted, 2025
[144] Balancing Explainability-Accuracy of Complex Models,
P.Sengupta, R.Khadka, S.Maharjan, F.Eliassen, P.G.Lind, A.Yazidi, Y.Zhang,
submitted, 2025
[143] Frequency Bands Graph Biomarkers for Mild Cognitive Impairment Detection in EEG,
M.Radwan, P.G.Lind, A.Yazidi,
submitted, 2025
[142] Fast converging S-Model based load balancing learning automata models: Potential application in Wind Turbine Fatigue distribution,
K.S. Rajasekaran, P.G. Lind, A. Yazidi,
submitted, 2025
[141] Exploiting the Rashomon Effect in Reinforcement Learning for Critical States,
J.E. Betten, D. Groß, P.G. Lind, H. Spieker,
submitted, 2025
[140] Enhanced Visibility Graph for EEG Classification
A. Belhadi, A. Yazidi, P.G. Lind, Y. Djenouri
submit, 2025
[139] Uncovering unconscious visual information through eye-tracking technology
P. Lencastre, R. Mathema, P.G. Lind,
submitted, 2025
[138] Quantization of Vision Transformer-Based Model for Real-Time EEG Classification,
R.Khadka, P.Sengupta, P.G.Lind, A.Yazidi,
submitted, 2025
[137] EEG data Classification: Review and Taxonomy,
A.Belhadi, A.Yazidi, P.G.Lind, Y.Djenouri,
submitted, 2025
[136] A quantitative scale of AI Trustworthiness incorporating Performance, Understanding and Reputation,
Y.Kasahara, T.Kabudi, W.Chen, A.Yazidi, P.G.Lind,
submitted, 2025
[135] A Comprehensive Review of Explainable AI in Deep Learning Algorithms for EEG Analysis,
O.Presacan, J.Ojha, A.Yazidi, E.Monteiro, P.G.Lind,
submitted, 2025
[134] Uncertainty of AI algorithms and tools in the health sector: A user-perspective survey,
J.Ojha, O.Presacan, P.G.Lind, E.Monteiro, A.Yazidi,
submitted, 2025
[133] Change of persistence in European electricity spot prices,
L.R. Gorjão, D. Witthaut, P.G. Lind, W. Medjroubi
submitted, 2025; 2112.03513
[132] Harmful Conspiracies in Complex Interaction Networks,
K.S. Gåsvær, J. Langguth, P.G. Lind, M. Hjorth-Jensen, M. Kreil, D.T. Schroeder,
submitted, 2025; 2310.05542
[131] Stochastic regimes can hide the attractors in data, reconstruction algorithms can reveal them,
B.M.S.Arani, S.R.Carpenter, E.H.van Nes, I.A.van de Leemput, C.Xu, P.G.Lind, M.Scheffer,
submitted, 2025; available at BiorXiv
[130] Evolutionary computing to solve optimal entangle states in quantum circuits,
S. Bhandari, S. Nichele, S. Denysov, P.G. Lind,
to appear in Scientific Reports, 2025, available at ArXiV-2408.00448 .
[129] DREAMS: A python framework to train deep learning models with model card reporting for medical and health applications,
R.Khadkaa, P.G.Lind, and A.Yazidi and A.Balhadi,
to appear in Software X, 2024; available at ArXiV-2409.17815
[128] Explainable AI in ECG analysis,
Best paper award
J. Ojha, H. Haugerud, A. Yazidi, P.G. Lind,
Proceedings of the 5th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR '24), pp. 11-18 (2024)
[127] Exploring human cognition from eye-movement: Is there unconscious visual information?
Best paper nomination
R. Mathema, P.G. Lind, P. Lencastre
Proceedings of the 5th ACM Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR '24), pp. 19-26 (2024)
[126] A Sensitivity Analysis of Cellular Automata and Heterogeneous Topology Networks: Partially-Local Cellular Automata and Homogeneous Homogeneous Random Boolean Networks,
T.E.Glover, R.Jahren, F.Martinuzzi, P.G.Lind, S.Nichele,
International Journal of Parallel, Emergent and Distributed Systems, 1-41 (2024); available at ArXiV-2407.18017 .
[125] Identifying Autism Gaze Patterns in Five-Second Data Records,
HIGHLIGHTED BY OsloMet News, Forskning.no
P.Lencastre, M.Lotfigolian, P.G.Lind,
Diagnostics 14(10) 1047 (2024)
[124] Modeling stochastic eye tracking data: A comparison of quantum generative adversarial networks and Markov models,
S. Bhandari, P. Lencastre, P.G. Lind
Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '24 Companion), pp 1934-1941 (2024)
[123] A Markov-chain model for assessing heatwaves and droughts in Iberian Peninsula,
E. Takyi, P.G. Lind, A. Russo,
Proceedings of the 6th International Conference on Energy & Environment: bringing together Engineering and Economics (ICEE 2024), pp. 597-602 (2024)
[122] Lévy-flight model of gaze trajectories to improve ADHD diagnoses,
C.Papanikolaou, A.Sharma, P.G.Lind, and P.Lencastre,
Entropy 26(5) 392 (2024)
[121] Modelling wind speed statistics beyond the Weibull distribution,
P.Lencastre, A.Yazidi, P.G.Lind,
Energies 17(11) 2621 (2024)
[120] An interpretable graph based model for classification of EEG using directional functional connectivity,
M. Radwan, P.G. Lind, A. Yazidi,
accepted in International Symposium on Biomedical Imaging,
to appear in IEEE Xplore, 2024
[119] Trustworthy Machine Learning in the Context of Security and Privacy,
R. Upreti, P.G. Lind, A. Elmokashfi, A. Yazidi,
International Journal of Information Security 23 2287-2314 (2024)
[118] Inducing Inductive Bias in Vision Transformer with EEG,
R. Khadka, P.G. Lind, A. Yazidi,
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 2096-2100 (2024), available at IEEEXplore .
[117] Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: The AI-Mind clinical study protocol,
I.H.Haraldsen, C.Hatlestad-Hall, C.Marra, H.Renvall, F.Maestú, S.Alfonsin, V.Andersson, A.Anand, V.Ayllon, A.Babic, C.Birck, R.Brña, N.Caraglia, C.Carrarini, E.Christensen, A.Cicchetti, S.Daugbjerg, R.Di Bidino, A.Diaz, G.Maria Giuffrè, J.Georges, D.Gove, T.Govers, H.Hallock, M.Hietanen, L.Holmen, J.Hotta, S.Kaski, R.Khadka, A.Kinnunen, A.Koivisto, S.Kulashekhar, D.Larsen, M.Liljeström, P.G.Lind, S.Marshall, S.Merz, F.Miraglia, J.Montonen, V.Mäntynen, A.R.Øksengård, T.Paajanen, J.M.Peña, L.Peña, D.Peniche, A.Perez, F.Ramírez-Toraño, T.Saarinen, M.Salas-Carrillo, R.Salmelin, S.C.Sousa, A.Suyuthi, M.Toft, P.Toharia, T.Tveitstøl, M.Tveter, R.Upreti, R.Vermeulen, F.Vecchio, A.Yazidi, P.M.Rossini,
Frontiers in Neurorobotics 17 1289406 (2024)
[116] A Time-Aware Tensor Decomposition for Tracking Evolving Patterns,
C. Chatzis, M. Pfeffer, P.G. Lind, E. A. Ataman
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), Rome, Italy, 1-6, IEEE Xplore (2023); available at 2308.07126
[115] Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey,
S. Srinivasan, S. Kumarasamy, Z.E. Andreadakis, P.G. Lind,
Energies 16(14) 5383 (2023)
[114] Patterns Within Patterns: A deeper look at the dynamical landscape of Reservoir Computing with Cellular Automata,
T.E. Glover, P.G. Lind, A. Yazidi, E. Osipov, S. Nichele,
Complex Systems 32(3) 309-351 (2023)
[113] Modern AI versus century-old mathematical models: how far can we go with generative adversarial networks to reproduce stochastic processes?
P. Lencastre, M. Gjersdal, L.R. Gorjão, A. Yazidi, P.G. Lind,
Physica D 453 133831 (2023)
[112] A diversity-based gradient approach for monitoring the quality of underwater sensor networks,
H. Bennouri, M.O.-E. Aoueileyine, P.G. Lind, H. Haugerud, A. Yazidi,
Sensors 23 3877 (2023)
[111] Changes in stability and jumps in Dansgaard-Oeschger events: a data analysis aided by the Kramers-Moyal equation,
K. Riechers, L.R. Gorjão, F. Hassanibesheli, D. Witthaut, P.G. Lind, N. Boers
Earth System Dynamics 14 593-607 (2023)
[110] JumpDiff: Non-parametric numerical estimation of jump-diffusion processes,
L.R. Gorjão, D. Witthaut, P.G. Lind,
Journal of Statistical Software 105(1) 1-22 (2023)

2020-2022

[109] Comparative analysis of functional connectivity metrics in EEG datasets,
A. Maratova, P. Lencastre, A. Yazidi and P. G. Lind,
2022 IEEE Signal Processing in Medicine and Biology Symposium (SPMB), pp. 1-10 (Philadelphia, USA, 2022)
[108] Statistical approach to cellular automata in critical states,
S. Pontes-Filho, P.G. Lind, S. Nichele
Physica D 441 133507 (2022); available at 2208.00746
[107] Predicting missing pairwise preferences from similarity features in group decision making,
R. Abolghasemi, P.G. Lind, R. Khadka, P. Engelstad, E.H. Viedma, A. Yazidi,
Knowledge-Based Systems 256 109860 (2022)
[106] Evolving quantum circuits to implement stochastic and deterministic cellular automata rules,
S. Bhandari, S. Overskott, I. Adamopoulos, P.G. Lind, S. Denysov, S. Nichele,
Cellular Automata, Proceedings of the 15th International Conference on Cellular Automata for Research and Industry, ACRI 2022, Geneva, Switzerland, pp. 119-129 (2022)
[105] An HCI Experiment to Explore Interactive Artificial Life Art,
G.E. Dumo, P.G Lind, S. Nichele,
Proceedings of HCI International Conference, Nature Springer, pp 204-211 (2022)
[104] EyeT4Empathy: database of foraging for visual information, visual writing and empathy assessment,
P. Lencastre, S. Bhurtel, G. Mello, A. Yazidi, S. Denysov, P.G. Lind,
Nature Scientific Data 9 752 (2022)
[103] Using the Hurst exponent and entropy measures to predict effective transmissibility in empirical series of malaria incidence,
J. Sequeira, J. Louçã, A. Mendes, P.G. Lind,
Applied Sciences, 12(1) 496 (2022)
[102] A new decision making model based on Rank Centrality for GDM with fuzzy preference relations,
A. Yazidi, F.M. Zennaro, M. Ivanovska, P.G. Lind, E.H. Viedma
European Journal of Operational Research 297 1030-1041 (2022)
[101] The connectivity network underlying the German's Twittersphere: a testbed for investigating information spreading phenomena,
D.T. Schroeder, J. Langguth, L. Burchard, K. Pogorelov, P.G. Lind
Nature Scientific Reports 12 4085 (2022);
Download and visualize the data sets !:-)
[100] A web interface for power grid database,
S. Devkota, P.G. Lind, N. Sanderson
HCII 2021: HCI International 2021 - Late Breaking Posters II, Springer Nature, pp 433-440 (2021)
[99] Addressing drawbacks in interfaces for eye-tracking solutions as an instrument for communication,
N. Adhikari, P.G. Lind, G. Mello
HCII 2021: HCI International 2021 - Late Breaking Posters II, Springer Nature, pp 3-10 (2021)
[98] For a new protocol to promote empathy towards users of communication technologies,
S. Bhurtel, P.G. Lind, G. Mello
HCII 2021: HCI International 2021 - Late Breaking Posters I, Springer Nature, pp 3-10 (2021)
[97] Arbitrary-order finite time corrections for the Kramers-Moyal operator,
L.R. Gorjão, D. Witthaut, K. Lehnertz, P.G. Lind,
Entropy 23(5), 517 (2021)
[96] The Dynamical Landscape of Reservoir Computing with Elementary Cellular Automata,
T.E. Glover, P.G. Lind, A. Yazidi, E. Osipov, S. Nichele,
Proceedings of the ALIFE 2021: The 2021 Conference on Artificial Life (pp. 102), ASME (2021)
[95] A Model for Assessing the Quantitative Effects of Heterogeneous Affinity in Malaria Transmission along with Ivermectin Mass Administration,
J. Sequeira, J. Louçã, A. Mendes, P.G. Lind,
Applied Sciences 10(23) 8696 (2020)
[94] Implementation of an inexpensive eye-tracking system for educational purposes,
O. Krohn, V. Varankian, P.G. Lind, G. Mello,
in Universal Access in Human-Computer Interaction: Design Approaches and Supporting Technologies, Proceedings of the 14th International Conference, UAHCI 2020, M.Antona, C.Stephanidis (Eds.), pp. 60-78.
[93] A neuro-inspired general framework for the evolution of stochastic dynamical systems to criticality,
S. Pontes-Filho, P.G. Lind, A. Yazidi, J. Zhang, H. Hammer, G.B.M. Mello, I. Sandvig, G. Tufte, S. Nichele,
Cognitive Neurodynamics 1871-4099 (2020)
[92] Disentangling stochastic signals superposed with periodic oscillations,
G. Kampers, M. Wächter, M. Hölling, P.G. Lind, S.M.D. Queirós, J. Peinke,
Physics Letters A 384 126307 (2020)
[91] Small scale structures of turbulence and fluctuation theorems,
A. Fuchs, S.M.D. Queirós, P.G. Lind, A.Girard, M. Wächter, J. Peinke,
Physical Review Fluids 5 034602 (2020)
[90] EvoDynamic: a framework for the evolution of generally represented dynamical systems and its application to self-organized criticality,
S. Pontes-Filho, P.G. Lind, A. Yazidi, J. Zhang, H. Hammer, G.B.M. Mello, I. Sandvig, G. Tufte, S. Nichele,
Conference Proceedings EvoApplications 2020, P.A. Castillo, J.L.J. Laredo, F.F. de Vega (Eds.), pp. 133-148.

2017-2019

[89] Heterogeneities in electricity grids strongly enhance non-Gaussian features of frequency fluctuations under stochastic power input,
M. Wolff, K. Schmietendorf, P.G. Lind, O. Kamps, J. Peinke, P. Maaß,
Chaos 29 103149 (2019); 1908.07997
[88] Transition from endemic behavior to eradication of malaria due to combined drug therapies: an agent-model approach,
J. Sequeira, J. Louçã, A. Mendes, P.G. Lind,
Journal of Theoretical Biology 484 110030 (2019); 1903.04353
[87] On the existence and characterization of extreme events in wind data,
C.A.Garcia, P.G.Lind, M.Wächter, A.Otero, J.Peinke,
Proceedings of ECRES 2019, pp. 320-327 (2019)
[86] Bridging between Load-Flow and Kuramoto-like Power Grid Models: A Flexible Approach to Integrating Electrical Storage Units,
K. Schmietendorf, O. Kamps, M. Wolff, P.G. Lind, P. Maaß, J. Peinke,
Chaos 29 103151 (2019); 1812.01972
[85] Wind Speed Modeling by Nested ARIMA Processes,
S.-K. Sim, P. Maaß, P.G. Lind,
Energies 12(1) 69 (2019)
[84] Influence of heterogeneities in the frequency stability of power grids,
M. Wolff, P.G. Lind, P. Maaß,
Chaos 28, 103120 (2018); 1805.02017
[83] HIGHLIGHTED BY Offshore-Windindustrie.de, Uni. Oldenburg, Uni. Osnabrück
Aerodynamics and percolation: unfolding the laminar separation bubble on airfoils,
D.Traphan, T.Wester, Gerd Gülker, J.Peinke, P.G.Lind,
Physical Review X 8, 021015 (2018); 1707.06832
[82] Optimized adjustment of a reaction-diffusion model to case-specific atrial physiology,
Y. Richter, P.G. Lind, P. Maaß,
Plos One 13(1), e0190448 (2018); 1709.01431
[81] Editor's choice
HIGHLIGHTED BY Europhysics News, Labor Praxis, Uni. Oldenburg, Uni. Osnabrück
Rogue waves and entropy consumption,
A.Hadjihossein, P.G.Lind, N.Mori, N.P.Hoffmann, J.Peinke
Europhysics Letters 120, 30008 (2017); 1708.04234
[80] Optimized adjustment of a reaction-diffusion model to case-specific atrial physiology: towards clinical implementation,
Y. Richter, P.G.Lind, G.Seemann, C.Lenk, P. Maaß,
Computing in Cardiology, 44 1-4 (2017)
[79] Editor's choice
Normal Behaviour Models for Wind Turbine Vibrations: Comparison of Neural Networks and a Stochastic Approach,
P.G. Lind, L. Vera-Tudela, M. Wächter, M. Kühn, J. Peinke,
Energies 10(12) 1944 (2017); 1710.08676
[78] Stochastic modelling of non-stationary financial assets,
J. Estevens, P. Rocha, J.P. Boto and P.G. Lind,
Chaos 27 113106 (2017); 1705.01145
[77] Influence of intermittency of wind power on the statistics of transmission line outages in power grids,
C. Schiel, P.G. Lind, P. Maaß,
Nature Scientific Reports 7 11562 (2017)
[76] How complexity leadership and cohesion influence city management effectiveness,
P. Leitão, C. Gomes, P. Marques-Quinteiro, L. Curral, P.G. Lind,
Revista de Psicologia: Organizações e Trabalho 17(4) 1-9 (2017)
[75] Anatomical and spiral wave reentry in a simplified model for atrial electrophysiology,
Y. Richter, P.G. Lind, G. Seemann, P. Maaß,
Journal of Theoretical Biology 417 100-107 (2017)
[74] Parameter-free resolution of the superposition of stochastic signals,
T. Scholz, F. Raischel, V.V. Lopes, B. Lehle, M. Wächter, J. Peinke and P.G. Lind,
Physics Letters A 381 194-206 (2017); 1510.07285

2014-2016

[73] Leadership as an emergent system: Insights from a laboratory experiment,
L. Curral, P. Marques-Quinteiro, C. Gomes, P.G. Lind,
Plos One 11 e0166697 (2016)
[72a] Package 'Langevin',
P.Rinn, P.Lind, D.Bastine,
Reference manual in R available at https://cran.r-project.org/web/packages/Langevin/
[72] The Langevin Approach: An R Package for Modeling Markov Processes,
P.Rinn, P.Lind, M.Wächter, J.Peinke,
Journal of Open Research Software. 4(1) p.e34, 2016.
[71] Uncovering the evolution of non-stationary stochastic variables: the example of asset volume-price fluctuations,
P. Rocha, F. Raischel, J.P. Boto and P.G. Lind
Physical Review E 93 052122 (2016); 1510.07280
[70] From empirical data to time-inhomogeneous continuous Markov processes,
P. Lencastre, F. Raischel, T. Rogers, P.G. Lind,
Physical Review E 93 032135 (2016); 1510.07282
[69] Complexity Leadership Theory: A new paradigm to promote learning and innovation in organizations,
M. Mendes, C. Gomes, P. Marques-Quinteiro, P.G. Lind, L. Curral,
Team Performance Management 22 301-309 (2016)
[68] A direct method for the Langevin-analysis of multidimensional stochastic processes with strong correlated measurement noise,
T.Scholz, F.Raischel, V.V.Lopes, B.Lehle, P.G.Lind, M.Wächter and J.Peinke,
ITISE 2015 Proceedings, Eds. O.Valenzuela, F.Rojas, H.Pomares and I.Rojas, ISBN-9788416292202, p. 574-579 (2015)
[67] Um pouco além do infinito
P.G. Lind,
Mateus DOC VIII, Infinito/ Infinity, p. 1-14, (IICM, 2015) [PDF 560 Kb].
[66] The Langevin approach for data analysis: a mathematical overview,
N. Reinke, A. Fuchs, W. Medjroubi, P.G. Lind, M. Wächter and J. Peinke,
Stochastic Equations for Complex Systems: Theoretical and Computational Topics,
Springer, p. 125-142 (2015); 1502.05253
[65] Stochastic model for indirect estimation of instantaneous and cumulative loads in wind turbines: a systematic approach for off-shore wind farms,
P.G. Lind, I. Herráez, M. Wächter and J. Peinke,
Proceedings DEWEK (2015)
[64] Molecular Dynamics Algorithm for Ellipsoidal Packings: Implementation on GPU Architecture,
S.M. Rubio-Largo, P.G. Lind, D. Maza, R.C. Hidalgo,
Computational Particle Mechanics 2 127-138 (2015)
[63] Optimal models of extreme volume-prices are time-dependent,
P. Rocha, F. Raischel, J.P. Boto, P.G. Lind,
Journal of Physics: Conf. Ser. 574 012148 (2015); 1409.6257
[62] The effect of the number of states on the validity of credit ratings,
P. Lencastre, F. Raischel, P.G. Lind,
Journal of Physics: Conf. Ser. 574 012151 (2015); 1409.2661
[61] Human mobility patterns at the smallest scales,
P.G. Lind and A. Moreira
Communications in Computational Physics 18 417-428 (2015); 1410.7920
[60] Daily pollution forecast using synoptic and local scale meteorological data,
A. Russo, P.G. Lind, F. Raischel, R. Trigo and M. Mendes
Atmospheric Pollution Research 6 540-549 (2015); 1411.0701
[59] A thermostatistical approach to scale-free networks,
J.P. da Cruz, N.M.A. Araújo, F. Raischel and P.G. Lind,
International Journal of Modern Physics C, 26 1550070 (2015); 1311.4075
[58] Are credit ratings time-homogeneous and Markov?
P. Lencastre, F. Raischel, P.G. Lind, T. Rogers
3rd SMDTA Conference Proceedings, ISBN-9786188125759, pp.405-414 (ISAST, 2014); 1403.8018
[57] The stochastic evolution of New York stock market distributions,
P. Rocha, F. Raischel, J.P. da Cruz, P.G. Lind,
3rd SMDTA Conference Proceedings, ISBN-9786188125759, pp.619-627 (ISAST, 2014); 1404.1730
[56] Modeling and analysis of cyclic inhomogenouos Markov processes: a wind turbine case study,
T. Scholz, V.V. Lopes, P.G. Lind, F. Raischel
3rd SMDTA Conference Proceedings, ISBN-9786188125759, pp.663-673 (ISAST, 2014); 1404.0203
[55] Reconstructing the intermittent dynamics of the torque in wind turbines,
P.G. Lind, M. Wächter and J. Peinke,
Journal of Physics: Conf. Ser. 524 012179 (2014); 1404.2063
[54] Principal wind turbines for a conditional portfolio approach to wind farms,
V.V. Lopes, T. Scholz, F. Raischel, P.G. Lind,
Journal of Physics: Conf. Ser. 524 012183 (2014); 1404.0375
[53] Fatigue Loads Estimation Through a Simple Stochastic Model,
P.G. Lind, I. Herráez, M. Wächter and J. Peinke,
Energies 7(12), 8279-8293 (2014); 1410.8005
[52] Big DATA sets: an opportunity to study empirically scale phenomena in society and renewable energy,
F. Raischel, A. Moreira and P.G. Lind
European Physical Journal Special Topics 223 2107-2118 (2014); 1406.2489
[51] Modeling the functional network of primary intercellular Ca2+ wave propagation in astrocytes and its application to study drug effects,
M. Pires, F. Raischel, S. Vaz, A. Cruz-Silva, A. Sebastião, P.G. Lind,
Journal of Theoretical Biology 356 201-212 (2014); 1311.6965
Check also this video

2011-2013

[50] Air quality prediction using optimal neural networks with stochastic variables,
A. Russo, F. Raischel and P.G. Lind,
Atmospheric Environment 79 822-830 (2013) [PDF 1.1 M]; 1307.3134
[49] Sustentabilidade: Uma solução para um futuro garantido ou uma busca insustentável?
P.G. Lind,
pages 13-19 in Mateus DOC III, Sustentabilidade/ Sustainability (IICM, 2013) [PDF 560 Kb].
[48] Uncovering wind turbine properties through two-dimensional stochastic modeling of wind dynamics,
F. Raischel, T. Scholz, V.V. Lopes and P.G. Lind,
Physical Review E 88 042146 (2013); [PDF 7.3 Mb]; 1210.7161
[47] The bounds of heavy-tailed return distributions in evolving complex networks,
J.P. da Cruz and P.G. Lind
Physics Letters A 377 189-194 (2013) [PDF 1 Mb]; 1109.2803
[46] Heavy-tails in economic data: fundamental assumptions, modelling and analysis,
J.P. da Cruz and P.G. Lind,
Heavy-tailed Distributions, Open Academic Press, 2012; 1202.0142
[45] Risk: A scientific perspective bridging physical theories and social realities
P.G. Lind,
pages 39-42 in Mateus DOC II, Risco/ Risk (IICM, 2012) [PDF 300 Kb].
[44] Da percepção do Risco à sua quantificação e controlo (in portuguese)
P.G. Lind,
pages 27-35 in Mateus DOC II, Risco/ Risk (IICM, 2012) [PDF 800 Kb].
[43] Optimal variables for describing evolution of NO2 concentration,
F. Raischel, A. Russo, M. Haase, D. Kleinhans and P.G. Lind,
Physics Letters A 376, 2081-2089 (2012) [PDF 855 Kb]; 1111.2008
[42] Self-organized criticality in a network of economic agents with finite consumption,
J.P. da Cruz and P.G. Lind
Physica A 391 1445-1452 (2012); [PDF 516 Kb]; 1009.5830
[41] Deposition of general ellipsoidal particles,
R.M. Baram and P.G. Lind
Physical Review E 85 041301 (2012) [PDF 1.1 Mb]; 1110.2792
[40] Editor's choice
HIGHLIGHTED BY EPJB, AlphaGalileo, EurekAlert, Ciência Hoje, Info Ciências
The dynamics of financial stability in complex networks,
J.P. da Cruz and P.G. Lind
European Physical Journal B 85 256 (2012) [PDF 5.6 Mb]; 1103.0717
[39] Principal axes of stochastic motion,
V.V. de Vasconcelos, F. Raischel, D. Kleinhans, J. Peinke, M. Wächter, M. Haase and P.G. Lind,
Physical Review E 84 031103 (2011) [PDF 1.6 MB]; 1105.1700
[38] Size distribution and structure of Barchan dune fields,
O. Durán, V. Schwämmle, P.G. Lind, H.J. Herrmann
Nonlinear Processes in Geophysics 18 455-467 (2011) [PDF 2.5 MB]; cond-mat/0701370
[37] Evaluating strong measurement noise in data series with simulated annealing method,
J. Carvalho, F. Raischel, M. Haase and P.G. Lind,
Journal of Physics: Conf. Ser. 285 012007 (2011) [PDF 400 kB]; 1212.6356

2008-2010

[36] Superdiffusion of massive particles induced by multi-scale velocity fields,
R.M. Baram, P.G. Lind, J.S. Andrade Jr., H.J. Herrmann
Europhysics Letters 91 28006 (2010); 0907.3444
[35] Extracting strong measurement noise from stochastic time series: applications to empirical data,
P.G. Lind, M. Haase, F. Boettcher, J. Peinke, D. Kleinhans and R. Friedrich,
Physical Review E 81 041125 (2010) [PDF 575 kB]; 0912.2844
[34] Force chains in sheared granular media of irregular particles,
A.A. Peña, H.J. Herrmann, P.G. Lind
Powders and Grains 2009, Proc. 6. Int. Conf. on Micromechanics of Granular Media (AIP, 2009), pp. 321-324. [PDF 92 kB];
[33] Sequential random packings of spheres and ellipsoids,
P.G. Lind
Powders and Grains 2009, Proc. 6. Int. Conf. on Micromechanics of Granular Media (AIP, 2009), pp. 219-222. [PDF 502 kB];
[32] Avalanches in anisotropic sheared granular media,
A.A. Peña, S. McNamara, P.G. Lind, H.J. Herrmann,
Granular Matter 11(4) 243-252 (2009) [PDF 778 kB]; 0801.0862
[31] Geometrical derivation of frictional forces for granular media under slow shearing,
A.A. Peña, P.G. Lind, S. McNamara, H.J. Herrmann
Acta Mechanica 205 171-183 (2009) [PDF 550 kB]; 0709.3716
[30] HIGHLIGHTED BY SIAM news!
The dune size distribution and scaling relations of barchan dune fields,
O. Durán, V. Schwämmle, P.G. Lind, H.J. Herrmann
Granular Matter 11(1) 7-11 (2009) [PDF 1.2 MB]; cond-mat/0701367
[29] The network approach: basic concepts and algorithms,
P.G. Lind
to appear in Lectures on Socio- and Econophysics, J.Schneider and C.Hirtreiter, Springer, 2009; 0711.3972
[28] Modeling slow deformation of polygonal particles using DEM,
A.A. Peña, P.G. Lind, H.J. Herrmann,
Particuology 6, 506-514 (2008); 0712.0919 (PDF 1.1 MB)
[27] Approaches from statistical physics to model and study social networks,
P.G. Lind and H.J. Herrmann
in Statistical Mechanics Research, Byung-Soo Kim (Ed.), Nova Publishers, 2008.
[26] Obtaining the size distributions of fault gouges with polydisperse bearings,
P.G. Lind, R.M. Baram, H.J. Herrmann
Physical Review E 77 021304 (2008); 0711.1791 (PDF 350 KB)

2005-2007

[25] Spreading gossip in social networks
P.G. Lind, J.S. Andrade Jr., L.R. da Silva, H.J. Herrmann
Physical Review E 76, 036117 (2007); physics/07053224 (PDF 414 KB)
[24] Minimizing stochasticity in the NAO index,
P.G. Lind, A. Mora, J.A.C. Gallas and M. Haase
International Journal of Bifurcation and Chaos 17 (10), 3461-3466 (2007) (PDF 474 KB)
[23] New approaches to model and study social networks,
P.G. Lind and H.J. Herrmann
New Journal of Physics 9, 228 (2007), (PDF 414 KB) physics/0701107
[22] HIGHLIGHTED BY PhysOrg.com!
The spread of gossip in American schools,
P.G. Lind, J.S. Andrade Jr., L.R. da Silva, H.J. Herrmann
Europhysics Letters 78, 68005 (2007), (PDF 466 KB) cond-mat/0603824
[21] Networks based on collisions among mobile agents,
M.C. González, P.G. Lind and H.J. Herrmann
Physica D 224, 137-148 (2006); physics/0606023 (PDF 1.4 MB)
[20] HIGHLIGHTED BY Innovations-report!
Reconstruction of complex dynamical systems affected by strong measurement noise
F.Boettcher, J.Peinke, D.Kleinhans, R.Friedrich, P.G.Lind, M.Haase
Physical Review Letters 97, 090603 (2006); nlin.CD/0607002 (PDF 170 kB)
[19] Impact of bistability in the synchronization of chaotic maps with delayed coupling,
P.G. Lind, A. Nunes and J.A.C. Gallas
Physica A 371, 100-103 (2006); cond-mat/0512555 (PDF 298 kB)
[18] HIGHLIGHTED BY PhysOrg.com!
A system of mobile agents to model social networks,
M.C. González, P.G. Lind and H.J. Herrmann
Physical Review Letters 96, 088702 (2006); physics/0602091 (PDF 277 kB)
[17] Model of mobile agents for sexual interactions networks,
M.C. González, P.G. Lind and H.J. Herrmann
European Physical Journal B 49, 371-376 (2006); physics/0508145 (PDF 434 kB)
[16] Cycles and clustering in bipartite networks,
P.G. Lind, M.C. González and H.J. Herrmann
Physical Review E 72, 056127 (2005); cond-mat/0504241 (PDF 190 kB)
[15] Reducing stochasticity in the North Atlantic Oscillation with coupled Langevin equations,
P.G. Lind, A. Mora, J.A.C. Gallas and M. Haase
Physical Review E 72, 056706 (2005) (PDF 1.2 MB)
[14] Coherence in complex networks of oscillators,
P.G. Lind, J.A.C. Gallas and H.J. Herrmann
in The Logistic Map and the Route to Chaos: From the Beginning to Modern Applications,
Springer-Verlag (2005), Eds. M. Ausloos and M. Dirickx, pp. 77-98; cond-mat/0502307
[13] Effects of lattice structure in the dynamics of coupled elements
A.S. Ribeiro and P.G. Lind,
Physica Scripta T118, 165-167 (2005) (PDF 177 KB)
[12] Inducing periodicity in lattices of chaotic maps with advection
P.G. Lind and J.A.C. Gallas,
Physica Scripta T118, 143-147 (2005); cond-mat/0407082 (PDF 386 KB)

2001-2004

[11] Coherence in scale-free networks of chaotic maps
P.G. Lind, J.A.C. Gallas and H.J. Herrmann
Physical Review E 70, 056207 (2004); cond-mat/0407806 (PDF 250 kB, 8 pages)
[10] Pattern formation in diffusive-advective coupled map lattices
P.G. Lind, J. Corte-Real and J.A.C. Gallas
Physical Review E 69, 066206 (2004) (PDF 878 kB, 12 pages)
[9] The dynamics of complex-amplitude norm-preserving lattices of coupled oscillators
M.W. Beims, M. van Vessen, J.A.O. Freire, M.G.E. da Luz, P.G. Lind and J.A.C. Gallas,
Physica A 338, 537-543 (2004)(PDF 222 KB)
[8] Coupled bistable maps: a tool to study convection parameterization in ocean models
P.G. Lind, S. Titz, T. Kuhlbrodt, J. Corte-Real, J. Kurths, J.A.C. Gallas and U. Feudel,
International Journal of Bifurcation and Chaos, 14, 999-1015 (2004) (PDF 1.57 MB)
[7] Inducing coherence in networks of bistable maps by varying the interaction range
P.G. Lind, J. Corte-Real and J.A.C. Gallas
Physical Review E 69, (2004) 026209. (PDF 544 KB, 11 pages)
[6] Effects of local nonlinearity and basin size in the dynamics of coupled bistable maps
P.G. Lind, J. Corte-Real and J.A.C. Gallas
Physica A, 327, (2003) 65-70. (PDF 1.55 MB, 6 pages)
[5] Using advection to control the velocity of patterns in rings of maps
P.G. Lind, J. Corte-Real and J.A.C. Gallas,
Physica D, 168-169, (2002) 93-105. (PDF 360 KB, 13 pages)
[4] Modeling velocity in gradient flows with coupled-map lattices with advection
P.G. Lind, J. Corte-Real and J.A.C. Gallas,
Physical Review E, 66, (2002) 016219. (PDF 147 KB, 6 pages)
[3] The distribution of periodic and aperiodic pattern evolutions in rings of diffusively coupled maps
P.G. Lind, J. Corte-Real and J.A.C. Gallas,
International Journal of Bifurcation and Chaos, 11, (2001) 2647-2661. (PDF 2.2 MB, 15 pages)
[2] Traveling waves induced by parameter fluctuations in rings of coupled maps
P. Lind, J. Corte-Real and J.A.C. Gallas,
Physica A, 295, (2001) 297-300. (PDF 545 KB), 4 pages)
[1] Wave patterns in coupled map lattices
P.G. Lind, J. Corte-Real and J.A.C. Gallas,
in Space Time Chaos: Characterization, Control and Synchronization,
Edited by S. Boccaletti, J. Burguete, W. Gonzalez-Viñas, H. C. Mancini and D. Valladares, Navarra, Spain, 2000. World Scientific, Singapore, pages 61-77, 2001. (PDF 2.9 MB, 17 pages)