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Scopus Author ID: 23991967500

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Instituto de Física Interdisciplinar y Sistemas Complejos: Palma de Mallorca, Illes Balears, ES

2020-03-01 to present
Employment
Source: Self-asserted source
Massimiliano Zanin

Works (50 of 134)

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Page 1 of 3

Directs in European air traffic management: When and why are they actually granted?

Journal of Air Transport Management
2025-05 | Journal article
DOI: 10.1016/j.jairtraman.2025.102766
Contributors: Pau Esteve; Massimiliano Zanin
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Quantifying Deviations from Gaussianity with Application to Flight Delay Distributions

Entropy
2025-03-28 | Journal article
DOI: 10.3390/e27040354
Contributors: Felipe Olivares; Massimiliano Zanin
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Evaluating Methods for Detrending Time Series Using Ordinal Patterns, with an Application to Air Transport Delays

Entropy
2025-02-23 | Journal article
DOI: 10.3390/e27030230
Contributors: Felipe Olivares; F. Javier Marín-Rodríguez; Kishor Acharya; Massimiliano Zanin
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Algorithmic Approaches for Assessing Multiscale Irreversibility in Time Series: Review and Comparison

Entropy
2025-01-25 | Journal article
DOI: 10.3390/e27020126
Contributors: Massimiliano Zanin; David Papo
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Low Cost Carriers Induce Specific and Identifiable Delay Propagation Patterns: An Analysis of the EU and US Systems

IEEE Access
2024 | Journal article
DOI: 10.1109/ACCESS.2024.3406392
Contributors: Sofia Gil-Rodrigo; Massimiliano Zanin
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Algorithmic Approaches for Assessing Multiscale Irreversibility in Time Series: Review and Comparison

2024-12-31 | Preprint
DOI: 10.20944/preprints202412.2614.v1
Contributors: Massimiliano Zanin; David Papo
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Deep Learning Unravels Differences Between Kinematic and Kinetic Gait Cycle Time Series from Two Control Samples of Healthy Children Assessed in Two Different Gait Laboratories

Sensors
2024-12-27 | Journal article
DOI: 10.3390/s25010110
Contributors: Alfonso de Gorostegui; Damien Kiernan; Juan-Andrés Martín-Gonzalo; Javier López-López; Irene Pulido-Valdeolivas; Estrella Rausell; Massimiliano Zanin; David Gómez-Andrés
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Manipulating Time Series Irreversibility Through Continuous Ordinal Patterns

Symmetry
2024-12-21 | Journal article
DOI: 10.3390/sym16121696
Contributors: Massimiliano Zanin
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Manipulating Time Series Irreversibility Through Continuous Ordinal Patterns

2024-11-04 | Preprint
DOI: 10.20944/preprints202411.0158.v1
Contributors: Massimiliano Zanin
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Deep Learning models for the analysis of time series: A practical introduction for the statistical physics practitioner

Chaos, Solitons & Fractals
2024-10 | Journal article
DOI: 10.1016/j.chaos.2024.115359
Contributors: Alfredo Crespo-Otero; Pau Esteve; Massimiliano Zanin
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Evaluating Time Irreversibility Tests Using Geometric Brownian Motions with Stochastic Resetting

Symmetry
2024-10-31 | Journal article
DOI: 10.3390/sym16111445
Contributors: Massimiliano Zanin; Pece Trajanovski; Petar Jolakoski; Trifce Sandev; Ljupco Kocarev
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How representative are air transport functional complex networks? A quantitative validation

Chaos: An Interdisciplinary Journal of Nonlinear Science
2024-04-01 | Journal article
DOI: 10.1063/5.0189642
Contributors: Kishor Acharya; Felipe Olivares; Massimiliano Zanin
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Reconstructing brain functional networks through identifiability and deep learning

Network Neuroscience
2024-04-01 | Journal article
DOI: 10.1162/netn_a_00353
Contributors: Massimiliano Zanin; Tuba Aktürk; Ebru Yıldırım; Deniz Yerlikaya; Görsev Yener; Bahar Güntekin
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Augmenting Granger Causality through continuous ordinal patterns

Communications in Nonlinear Science and Numerical Simulation
2024-01 | Journal article
DOI: 10.1016/j.cnsns.2023.107606
Contributors: Massimiliano Zanin
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Structure, Resilience and Evolution of the European Air Route Network From 2015 to 2018

IEEE Transactions on Network Science and Engineering
2023-07-01 | Journal article
DOI: 10.1109/TNSE.2023.3239300
Contributors: Pau Esteve; Jose J. Ramasco; Massimiliano Zanin
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Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning

Chaos: An Interdisciplinary Journal of Nonlinear Science
2023-03 | Journal article
DOI: 10.1063/5.0136492
Contributors: Massimiliano Zanin
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Markov-modulated model for landing flow dynamics: An ordinal analysis validation

Chaos: An Interdisciplinary Journal of Nonlinear Science
2023-03 | Journal article
DOI: 10.1063/5.0134848
Contributors: F. Olivares; L. Zunino; M. Zanin
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On the complementarity of ordinal patterns-based entropy and time asymmetry metrics

Chaos: An Interdisciplinary Journal of Nonlinear Science
2023-03 | Journal article
DOI: 10.1063/5.0136471
Contributors: Johann H. Martínez; José J. Ramasco; Massimiliano Zanin
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Measuring landing independence and interactions using statistical physics

Transportation Research Part E: Logistics and Transportation Review
2023-02 | Journal article
DOI: 10.1016/j.tre.2022.102998
Contributors: Felipe Olivares; Xiaoqian Sun; Sebastian Wandelt; Massimiliano Zanin
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Propagation of Interactions among Aircraft Trajectories: A Complex Network Approach

Aerospace
2023-02-24 | Journal article
DOI: 10.3390/aerospace10030213
Contributors: Raúl López-Martín; Massimiliano Zanin
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Local and Network-Wide Time Scales of Delay Propagation in Air Transport: A Granger Causality Approach

Aerospace
2023-01-01 | Journal article
DOI: 10.3390/aerospace10010036
Contributors: Luisina Pastorino; Massimiliano Zanin
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Assessing Identifiability in Airport Delay Propagation Roles Through Deep Learning Classification

IEEE Access
2022 | Journal article
DOI: 10.1109/ACCESS.2022.3158313
Contributors: Ilinka Ivanoska; Luisina Pastorino; Massimiliano Zanin
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Can Deep Learning distinguish chaos from noise? Numerical experiments and general considerations

Communications in Nonlinear Science and Numerical Simulation
2022-11 | Journal article
DOI: 10.1016/j.cnsns.2022.106708
Contributors: Massimiliano Zanin
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Analyzing international events through the lens of statistical physics: The case of Ukraine

Chaos: An Interdisciplinary Journal of Nonlinear Science
2022-05 | Journal article
DOI: 10.1063/5.0091628
Contributors: M. Zanin; J. H. Martínez
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Optimal Cost-Based Strengthening of Complex Networks

IEEE Transactions on Network Science and Engineering
2022-05-01 | Journal article
DOI: 10.1109/TNSE.2021.3132703
Contributors: Qingnan Rong; Jun Zhang; Xiaoqian Sun; Sebastian Wandelt; Massimiliano Zanin; Liang Tian
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A Fast Transform for Brain Connectivity Difference Evaluation

Neuroinformatics
2022-04 | Journal article
DOI: 10.1007/s12021-021-09518-7
Contributors: Massimiliano Zanin; Ilinka Ivanoska; Bahar Güntekin; Görsev Yener; Tatjana Loncar-Turukalo; Niksa Jakovljevic; Olivera Sveljo; David Papo
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Air delay propagation patterns in Europe from 2015 to 2018: an information processing perspective

Journal of Physics: Complexity
2022-03-01 | Journal article
DOI: 10.1088/2632-072X/ac4003
Contributors: Luisina Pastorino; Massimiliano Zanin
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From random failures to targeted attacks in network dismantling

Reliability Engineering & System Safety
2022-02 | Journal article
DOI: 10.1016/j.ress.2021.108146
Contributors: Sebastian Wandelt; Wei Lin; Xiaoqian Sun; Massimiliano Zanin
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Assessing Granger Causality on Irregular Missing and Extreme Data

IEEE Access
2021 | Journal article
DOI: 10.1109/ACCESS.2021.3082014
Contributors: Massimiliano Zanin
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Algorithmic Approaches for Assessing Irreversibility in Time Series: Review and Comparison

Entropy
2021-11-08 | Journal article
DOI: 10.3390/e23111474
Contributors: Massimiliano Zanin; David Papo
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Assessing time series irreversibility through micro-scale trends

Chaos: An Interdisciplinary Journal of Nonlinear Science
2021-10 | Journal article
DOI: 10.1063/5.0067342
Contributors: Massimiliano Zanin
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DisMaNET: A network-based tool to cross map disease vocabularies

Computer Methods and Programs in Biomedicine
2021-08 | Journal article
DOI: 10.1016/j.cmpb.2021.106233
Contributors: Eduardo P. García del Valle; Gerardo Lagunes García; Lucía Prieto Santamaría; Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez-González
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Principles and open questions in functional brain network reconstruction

Human Brain Mapping
2021-08 | Journal article
DOI: 10.1002/hbm.25462
Contributors: Onerva Korhonen; Massimiliano Zanin; David Papo
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Ordinal patterns-based methodologies for distinguishing chaos from noise in discrete time series

Communications Physics
2021-08-20 | Journal article
DOI: 10.1038/s42005-021-00696-z
Contributors: Massimiliano Zanin; Felipe Olivares
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Statistical and Machine Learning Link Selection Methods for Brain Functional Networks: Review and Comparison

Brain Sciences
2021-05-31 | Journal article
DOI: 10.3390/brainsci11060735
Contributors: Ilinka Ivanoska; Kire Trivodaliev; Slobodan Kalajdziski; Massimiliano Zanin
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Uncertainty in Functional Network Representations of Brain Activity of Alcoholic Patients

Brain Topography
2021-01-12 | Journal article
DOI: 10.1007/s10548-020-00799-w
Contributors: Massimiliano Zanin; Seddik Belkoura; Javier Gomez; César Alfaro; Javier Cano
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Assessing Airport Landing Efficiency Through Large-Scale Flight Data Analysis

IEEE Access
2020 | Journal article
DOI: 10.1109/ACCESS.2020.3022160
Contributors: Massimiliano Zanin
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A minimal model of hospital patients’ dynamics in COVID-19

Chaos, Solitons & Fractals
2020-11 | Journal article
DOI: 10.1016/j.chaos.2020.110157
Contributors: David Papo; Marco Righetti; Luciano Fadiga; Fabio Biscarini; Massimiliano Zanin
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Travel restrictions during pandemics: A useful strategy?

Chaos: An Interdisciplinary Journal of Nonlinear Science
2020-11 | Journal article
DOI: 10.1063/5.0028091
Contributors: Massimiliano Zanin; David Papo
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Assessing functional propagation patterns in COVID-19

Chaos, Solitons & Fractals
2020-09 | Journal article
DOI: 10.1016/j.chaos.2020.109993
Contributors: Massimiliano Zanin; David Papo
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Characterization and Prediction of Air Transport Delays in China

Applied Sciences
2020-09-04 | Journal article
DOI: 10.3390/app10186165
Contributors: Massimiliano Zanin; Yanbo Zhu; Ran Yan; Peiji Dong; Xiaoqian Sun; Sebastian Wandelt
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Contrasting chaotic with stochastic dynamics via ordinal transition networks

Chaos: An Interdisciplinary Journal of Nonlinear Science
2020-06 | Journal article
DOI: 10.1063/1.5142500
Contributors: F. Olivares; M. Zanin; L. Zunino; D. G. Pérez
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Reconstructing the patient’s natural history from electronic health records

Artificial Intelligence in Medicine
2020-05 | Journal article
DOI: 10.1016/j.artmed.2020.101860
Contributors: Marjan Najafabadipour; Massimiliano Zanin; Alejandro Rodríguez-González; Maria Torrente; Beatriz Nuñez García; Juan Luis Cruz Bermudez; Mariano Provencio; Ernestina Menasalvas
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Analysis of new nosological models from disease similarities using clustering

2020-04-10 | Preprint
DOI: 10.1101/2020.04.10.035394
Contributors: Lucía Prieto Santamaría; Eduardo P. García del Valle; Gerardo Lagunes García; Massimiliano Zanin; Alejandro Rodríguez González; Ernestina Menasalvas Ruiz; Yuliana Pérez Gallardo; Gandhi Samuel Hernández Chan
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Mitochondria-mitochondria interaction networks show altered topological patterns in Parkinson’s disease

2020-03-10 | Preprint
DOI: 10.1101/2020.03.09.984195
Contributors: Massimiliano Zanin; Bruno F. R. Santos; Paul M.A. Antony; Clara Berenguer-Escuder; Simone B. Larsen; Zoé Hanss; Peter Barbuti; Aidos S. Baumuratov; Dajana Grossmann; Christophe Capelle et al.
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Permutation Entropy and Irreversibility in Gait Kinematic Time Series from Patients with Mild Cognitive Decline and Early Alzheimer’s Dementia

Entropy
2019-09 | Journal article | Author
DOI: 10.3390/e21090868
Contributors: Juan-Andrés Martín-Gonzalo; IRENE PULIDO-VALDEOLIVAS; YU WANG; TING WANG; Guadalupe Chiclana; M.Carmen Algarra Lucas; Itziar Palmí; Jorge Fernandez Travieso; Maria Dolores Torrecillas; Ambrosio Miralles Martínez et al.
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Multidisciplinary Digital Publishing Institute

Completing missing MeSH code mappings in UMLS through alternative expert-curated sources

2019-04-09 | Other
DOI: 10.1101/602540
Contributors: Eduardo P. García del Valle; Gerardo Lagunes García; Lucia Prieto Santamaría; Massimiliano Zanin; Alejandro Rodríguez González; Ernestina Menasalvas Ruiz
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Characterising obstructive sleep apnea patients through complex networks

Chaos, Solitons & Fractals
2019-02 | Journal article
DOI: 10.1016/j.chaos.2018.12.031
Contributors: Massimiliano Zanin; Juan Manuel Tuñas; Sébastien Bailly; Jean Louis Pépin; Pierre Hainaut; Ernestina Menasalvas
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On the use of random graphs as null model of large connected networks

Chaos, Solitons & Fractals
2019-02 | Journal article
DOI: 10.1016/j.chaos.2018.12.032
Contributors: Sebastian Wandelt; Xiaoqian Sun; Ernestina Menasalvas; Alejandro Rodríguez-González; Massimiliano Zanin
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Indoor Temperature Prediction in an IoT Scenario

Sensors
2018-10-24 | Journal article
DOI: 10.3390/s18113610
Contributors: Pedro Monteiro; Massimiliano Zanin; Ernestina Menasalvas Ruiz; João Pimentão; Pedro Alexandre da Costa Sousa
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Items per page:
Page 1 of 3

Peer review (12 reviews for 9 publications/grants)

Review activity for Algorithms. (1)
Review activity for Chaos, solitons and fractals. (2)
Review activity for Chaos. (2)
Review activity for Communications physics. (1)
Review activity for Nature communications (1)
Review activity for Physica. (1)
Review activity for PloS one. (1)
Review activity for Reliability engineering & systems safety. (2)
Review activity for Sustainability. (1)
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