Publicacions

Quantum Computation in Air Transport: A Short Overview of the Fundamentals, Challenges and Opportunities

Zanin, Massimiliano; Du, Zhuoming; Giorgi, Gian Luca; Sun, Xiaoqian; Wandelt, Sebastian
Technologies 14, 103 (2026)

Predictability of temporal network dynamics in normal ageing and brain pathology

Caligiuri, Annalisa; Papo, David; Yener, Görsev; Güntekin, Bahar; Galla, Tobias; Lacasa, Lucas; Zanin, Massimiliano
Journal of Complex Networks 14, cnaf058 (2026)

The structure of global delay propagation in air transport

Blanco, Josu; Tugores, Antònia; Ramasco, José J.; Zanin, Massimiliano
Transportation Research Part E: Logistics and Transportation Review 208, 104688 (2026)

A large-scale data set of aircraft interaction networks

López-Martín, Raúl; Zanin, Massimiliano
PLOS One 20, e0336909 (2025)

SynthATDelays: A Minimalist Python Package for the Generation of Synthetic Air Transport Delay Data

Büth, Carlson; Zanin, Massimiliano
Aerospace 12, 900 (2025)

infomeasure: a comprehensive Python package for information theory measures and estimators

Büth, Carlson M.; Acharya, Kishor; Zanin, Massimiliano
Scientific Reports 15, 29323 (2025)

On the limits of the intervention on complex systems guided by functional networks

Zanin, Massimiliano
Scientific Reports 15, 22304 (2025)

Information decomposition of airport dynamics: A study of Europe and US

Acharya, Kishor; Zanin, Massimiliano
Transportation Research Interdisciplinary Perspectives 31, 101466 (2025)

Quantifying Deviations from Gaussianity with Application to Flight Delay Distributions

Olivares, Felipe; Zanin, Massimiliano
Entropy 27, 354 (1-16) (2025)

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

Esteve, Pau; Zanin, Massimiliano
Journal of Air Transport Management 125, 102766 (2025)

Evaluating Methods for Detrending Time Series Using Ordinal Patterns, with an Application to Air Transport Delays

Olivares, Felipe; Marín-Rodríguez, F Javier; Acharya, Kishor; Zanin, Massimiliano
Entropy 27, 230 (1-18) (2025)

Reconstructing functional networks of air transport delay propagations with minimal information

Zanin, Massimiliano
Physica A: Statistical Mechanics and its Applications 659, 130318 (2025)

DESIGN and be SMART: Eleven engineering challenges to achieve sustainable air transportation under safety assurance in the year 2050

Wandelt, Sebastian; Blom, Henk; Krömer, Marius Magnus; Li, Daochun; Mitici, Mihaela; Ryley, Tim; Stumpf, Eike; Wang, Kun; Yang, Bin; Zanin, Massimiliano; Sun, Xiaoqian
Journal of the Air Transport Research Society 4, 100045 (2024)

Deep Learning models for the analysis of time series: A practical introduction for the statistical physics practitioner

Crespo-Otero, Alfredo; Esteve, Pau; Zanin, Massimiliano
Chaos Solitons & Fractals 187, 115359 (2024)

Status quo and challenges in air transport management research

Wandelt, Sebastian; Antoniou, Constantinos; Birolini, Sebastian; Delahaye, Daniel; Dresner, Martin; Fu, Xiaowen; Gössling, Stefan; Hong, Seock-Jin; Odoni, Amedeo R.; Zanin, Massimiliano; Zhang, Anming; Zhang, Hui; Zhang, Yahua; Sun, Xiaoqian
Journal of the Air Transport Research Society 2, 100014 (2024)

Low Cost Carriers Induce Specific and Identifiable Delay Propagation Patterns: An Analysis of the EU and US Systems

Gil-Rodrigo, Sofia; Zanin, Massimiliano
IEEE Access 12, 75323 - 75336 (2024)

How representative are air transport functional complex networks? A quantitative validation

Acharya, Kishor; Olivares, Felipe; Zanin, Massimiliano
Chaos 34, 043133 (2024)

Reconstructing brain functional networks through identifiability and deep learning

Zanin, Massimiliano; Aktürk, Tuba; Yıldırım, Ebru; Yerlikaya, Deniz; Yener, Görsev; Güntekin, Bahar
Network Neuroscience 8, 241–259 (2024)

Augmenting Granger Causality through continuous ordinal patterns

Zanin, Massimiliano
Communications in Nonlinear Science and Numerical Simulation 128, 107606 (2024)

Identifiability of complex networks

Zanin, Massimiliano; Buldú, J.M.
Frontiers in Physics 11, (2023)

An overview of network structures and node importance in the global aviation system from the year 2011 to 2022

Zanin, Massimiliano; Wandelt, Sebastian
Journal of the Air Transport Research Society 1, 63-80 (2023)

Randomized phase II clinical trial of ruxolitinib plus simvastatin in COVID19 clinical outcome and cytokine evolution

Garcia-Donas, Jesus; [...]; Zanin, Massimiliano; et al.
Frontiers in Immunology 14, 1156603 (2023)

Markov-modulated model for landing flow dynamics: An ordinal analysis validation

Olivares, Felipe; Zunino, Luciano; Zanin, Massimiliano
Chaos: an interdisciplinary Journal of Nonlinear Science 33, 033142(1-12) (2023)

On the complementarity of ordinal patterns-based entropy and time asymmetry metrics

Martínez, Johann H.; Ramasco, Jose J.; Zanin, Massimiliano
Chaos 33, 033138 (2023)

Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning

Zanin, Massimiliano
Chaos 33, 033114 (2023)

Propagation of Interactions among Aircraft Trajectories: A Complex Network Approach

López-Martín,Raúl; Zanin,Massimiliano
Aerospace 10, 213 (2023)

Measuring landing independence and interactions using statistical physics

Olivares, Felipe; Sun, Xiaoqian; Wandelt, Sebastian; Zanin, Massimiliano
Transportation Research Part E: Logistics and Transportation Review 170, 102998 (2023)

Structure, resilience and evolution of the European Air Route Network from 2015 to 2018

Esteve, Pau; Ramasco, Jose J.; Zanin, Massimiliano
IEEE Transactions on Network Science and Engineering 10 (4), 2045-2058 (2023)

Understanding small-scale COVID-19 transmission dynamics with the Granger causality test

Romero García, Carolina; Briz-Redón, Álvaro; Iftimi, Adina; Lozano, Manuel; De Andrés, José; Landoni, Giovanni; Zanin, Massimiliano
Archives of Environmental & Occupational Health 78 (5), 273-281 (2023)

Local and Network-Wide Time Scales of Delay Propagation in Air Transport: A Granger causality Approach

Pastorino, Luisina; Zanin, Massimiliano
Aerospace 10 (1), 36 (2023)

Functional networks of weather events propagation between airports

López Martín, Raúl (supervisor: Massimiliano Zanin)
Master Thesis (2022)

Can Deep Learning distinguish chaos from noise? Numerical experiments and general considerations

Zanin, Massimiliano
Communications in Nonlinear Science and Numerical Simulation 114, 106708 (2022)

Corrupted bifractal features in finite uncorrelated power-law distributed data

Olivares, Felipe; Zanin, Massimiliano
Physica A: Statistical Mechanics and its Applications 603, 1-11 (2022)

Analyzing international events through the lens of statistical physics: The case of Ukraine

Zanin, Massimiliano; Martínez, Johann H.
Chaos: An Interdisciplinary Journal of Nonlinear Science 32, 051103 (1-8) (2022)

20 years of ordinal patterns: Perspectives and challenges

Leyva Callejas, Inmaculada; Martinez, Johann; Masoller, Cristina; Rosso, Osvaldo A.; Zanin, Massimiliano
EPL 138, 31001 (1-7) (2022)

Assessing Identifiability in Airport Delay Propagation Roles Through Deep Learning Classification

Ivanoska, Ilinka; Pastorino, Luisina; Zanin, Massimiliano
IEEE Access 10, 28520 - 28534 (2022)

Telling functional networks apart using ranked network features stability

Zanin, Massimiliano; Güntekin, Bahar; Aktürk, Tuba; Yıldırım, Ebru; Yener, Görsev; Kiyi, Ilayda; Hünerli-Gündüz, Duygu; Sequeira, Henrique; Papo, David
Scientific Reports 12, 2562 (2022)

Air delay propagation patterns in Europe from 2015 to 2018: an information processing perspective

Pastorino, Luisina; Zanin, Massimiliano
J. Phys. Complex. 3, 015001 (2022)

A Fast Transform for Brain Connectivity Difference Evaluation

Zanin, Massimiliano; Ivanoska, Ilinka; Güntekin, Bahar; Yener, Görsev; Loncar-Turukalo, Tatjana; Jakovljevic, Niksa; Sveljo, Olivera; Papo, David
Neuroinformatics 20, 285-299 (2022)

Algorithmic Approaches for Assessing Irreversibility in Time Series: Review and Comparison

Zanin, Massimiliano; Papo, David
Entropy 23, 1474 (2021)

Assessing time series irreversibility through micro-scale trends

Zanin, Massimiliano
Chaos: An Interdisciplinary Journal of Nonlinear Science 31, 103118 (2021)

The AIMe registry for artificial intelligence in biomedical research

Julian Matschinske, ..., Massimiliano Zanin, Olga Zolotareva, Jan Baumbach & David B. Blumenthal
Nature Methods , (2021)

Ordinal patterns-based methodologies for distinguishing chaos from noise in discrete time series

Zanin, Massimiliano; Olivares, Felipe
Communications Physics 4, 190 (2021)

Simplifying functional network representation and interpretation through causality clustering

Zanin, Massimiliano
Scientific Reports 11, 15378 (2021)

Leveraging network analysis to evaluate biomedical named entity recognition tools

Eduardo P. García del Valle; Gerardo Lagunes García; Lucía Prieto Santamaría; Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez-González
Scientific Reports 11, 13537 (2021)

Trends in Incidence and Transmission Patterns of COVID-19 in Valencia, Spain

Carolina Romero García; Adina Iftimi; Álvaro Briz-Redón; Massimiliano Zanin; Maria Otero; Mayte Ballester; José de Andrés; Giovanni Landoni; Dolores de las Marinas; Juan Carlos Catalá Bauset; Jesus Mandingorra
JAMA Network Open 4, e2113818 (2021)

DisMaNET: A network-based tool to cross map disease vocabularies

Eduardo P.García del Valle; Gerardo Lagunes García; Lucía Prieto Santamaría; Massimiliano Zanin; Ernestina Menasalvas Ruiz; Alejandro Rodríguez-González
Computer Methods and Programs in Biomedicine 207, 106233 (2021)

Statistical and Machine Learning Link Selection Methods for Brain Functional Networks: Review and Comparison

Ilinka Ivanoska; Kire Trivodaliev; Slobodan Kalajdziski; Massimiliano Zanin
Brain Sciences 11 (6), 735 (2021)

Assessing Granger Causality on Irregular Missing and Extreme Data

Zanin, Massimiliano
IEEE Access 9, 75362 - 75374 (2021)

Principles and open questions in functional brain network reconstruction

Korhonen, Onerva; Zanin, Massimiliano; Papo, David
Human Brain Mapping 42, 3680-3711 (2021)

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