| Multifractal analysis of the time series of daily means of wind speed in complex regions M Laib, J Golay, L Telesca, M Kanevski Chaos, Solitons & Fractals 109, 118–127, 2018 | 99 | 2018 |
| Long-range fluctuations and multifractality in connectivity density time series of a wind speed monitoring network M Laib, L Telesca, M Kanevski Chaos: An Interdisciplinary Journal of Nonlinear Science 28 (3), 033108, 2018 | 44 | 2018 |
| Analysis of air pollution time series using complexity-invariant distance and information measures F Amato, M Laib, F Guignard, M Kanevski Physica A: Statistical Mechanics and its Applications 547, 124391, 2020 | 22 | 2020 |
| Investigating the time dynamics of wind speed in complex terrains by using the Fisher–Shannon method F Guignard, M Lovallo, M Laib, J Golay, M Kanevski, N Helbig, L Telesca Physica A: Statistical Mechanics and its Applications 523, 611-621, 2019 | 20 | 2019 |
| A new algorithm for redundancy minimisation in geo-environmental data M Laib, M Kanevski Computers & Geosciences 133, 104328, 2019 | 17* | 2019 |
| Advanced analysis of temporal data using Fisher-Shannon information: theoretical development and application in geosciences F Guignard, M Laib, F Amato, M Kanevski Frontiers in Earth Science 8, 255, 2020 | 13 | 2020 |
| Spatial modelling of extreme wind speed distributions in Switzerland M Laib, M Kanevski Energy Procedia 97, 100-107, 2016 | 13 | 2016 |
| Analysis of temporal properties of extremes of wind measurements from 132 stations over Switzerland L Telesca, F Guignard, M Laib, M Kanevski Renewable Energy 145, 1091-1103, 2020 | 8 | 2020 |
| MFDFA: Multifractal detrended fluctuation analysis M Laib, L Telesca, M Kanevski R package version 1, 2019 | 8 | 2019 |
| MFDFA: MultiFractal Detrended Fluctuation Analysis for time series M Laib, L Telesca, M Kanevski https://github.com/mlaib/MFDFA, 2017 | 7* | 2017 |
| Analyzing air pollution and traffic data in urban areas in Luxembourg W Aggoune-Mtalaa, M Laib Smart Cities 6 (2), 929-943, 2023 | 5 | 2023 |
| Community detection analysis in wind speed-monitoring systems using mutual information-based complex network M Laib, F Guignard, M Kanevski, L Telesca Chaos: An Interdisciplinary Journal of Nonlinear Science 29 (4), 2019 | 5 | 2019 |
| Linearity versus non-linearity in high frequency multilevel wind time series measured in urban areas L Telesca, M Laib, F Guignard, D Mauree, M Kanevski Chaos, Solitons & Fractals 120, 234-244, 2019 | 4 | 2019 |
| Periodic fluctuations in correlation-based connectivity density time series: application to wind speed-monitoring network in Switzerland M Laib, L Telesca, M Kanevski Physica A: Statistical Mechanics and its Applications, 2018 | 4 | 2018 |
| A Novel Filter Algorithm for Unsupervised Feature Selection Based on a Space Filling Measure M Laib, M Kanevski European Symposium on Artificial Neural Networks, Computational Intelligence …, 2018 | 3 | 2018 |
| SFtools: Space Filling Based Tools for Data Mining M Laib, M Kanevski https://CRAN.R-project.org/package=SFtools, 2017 | 2* | 2017 |
| Analysis and modelling of extreme wind speed distributions in complex mountainous regions M Laib, M Kanevski EGU General Assembly Conference Abstracts, EPSC2016-3338, 2016 | 2 | 2016 |
| IDmining: Intrinsic Dimension for Data Mining, R package J Golay, M Laib URL https://CRAN. R-project. org/package= IDmining, 2016 | 2* | 2016 |
| CombinS: Construction Methods of some Series of PBIB Designs M Laib, I Rezgui, Z Gheribi-Aoulmi, H Monod https://cran.r-project.org/package=CombinS, 2015 | 2* | 2015 |
| Dealing with high dimensional sequence data in manufacturing U Iffat, E Roseren, M Laib Procedia CIRP 104, 1298-1303, 2021 | 1 | 2021 |
luciano telescaInstitute of Methodologies for Environmental Analysis, National Research Council (Italy)Adresse e-mail validée de imaa.cnr.it
