Luca Pappalardo

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	Toutes	Depuis 2019
Citations	5039	4357
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Dino PedreschiProfessor of Computer Science, University of PisaAdresse e-mail validée de di.unipi.it
Fosca Giannottiprofessor at Scuola Normale Superiore di PisaAdresse e-mail validée de sns.it
Paolo CintiaKode SolutionsAdresse e-mail validée de kode-solutions.net
Salvatore RinzivilloKDDLab, ISTI, CNRAdresse e-mail validée de isti.cnr.it
Filippo SiminiArgonne National LaboratoryAdresse e-mail validée de anl.gov
Alessio RossiDepartment of Computer Science - University of PisaAdresse e-mail validée de di.unipi.it
Giulio RossettiSenior Researcher @ CNR-ISTIAdresse e-mail validée de isti.cnr.it
Lorenzo GabrielliConsiglio Nazionale delle Ricerche (CNR), Joint Research Centre (JRC-European Commission)Adresse e-mail validée de isti.cnr.it
Mirco NanniSenior Researcher at KDD Lab, ISTI-CNR, PisaAdresse e-mail validée de isti.cnr.it
Gianni BarlacchiSr. Machine Learning Scientist at AmazonAdresse e-mail validée de amazon.com
Riccardo GuidottiAssistant Professor @ University of PisaAdresse e-mail validée de unipi.it
Francesca PratesiUniversità di PisaAdresse e-mail validée de di.unipi.it
Bruno LepriFondazione Bruno KesslerAdresse e-mail validée de fbk.eu
Anna MonrealeUniversity of PisaAdresse e-mail validée de di.unipi.it
Roberto PellungriniResearch Fellow at Scuola Normale Superiore, Classe di Scienze, PisaAdresse e-mail validée de sns.it
Albert-László BarabásiNortheastern University, Harvard Medical SchoolAdresse e-mail validée de neu.edu
Paolo FerraginaProfessor of Algorithms, Dept. Computer Science, University of PisaAdresse e-mail validée de unipi.it
Rajesh SharmaUniversity of TartuAdresse e-mail validée de e.ntu.edu.sg
Maurizio TesconiHead of Cyber Intelligence Lab - IIT - CNRAdresse e-mail validée de iit.cnr.it
Zbigniew SmoredaOrange / Orange Labs / SENSEAdresse e-mail validée de orange.com

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Luca Pappalardo

Senior Researcher at ISTI-CNR, Associate professor at Scuola Normale Superiore di Pisa

Adresse e-mail validée de di.unipi.it - Page d'accueil

Human-AI Coevolution Human Mobility Computational Social Science Sports Analytics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Returners and explorers dichotomy in human mobility L Pappalardo, F Simini, S Rinzivillo, D Pedreschi, F Giannotti, ... Nature communications 6 (1), 8166, 2015	516	2015
Effective injury forecasting in soccer with GPS training data and machine learning A Rossi, L Pappalardo, P Cintia, FM Iaia, J Fernández, D Medina PloS one 13 (7), e0201264, 2018	323	2018
Measuring objective and subjective well-being: dimensions and data sources V Voukelatou, L Gabrielli, I Miliou, S Cresci, R Sharma, M Tesconi, ... International Journal of Data Science and Analytics 11, 279-309, 2021	309	2021
A survey on deep learning for human mobility M Luca, G Barlacchi, B Lepri, L Pappalardo ACM Computing Surveys (CSUR) 55 (1), 1-44, 2021	240*	2021
PlayeRank: data-driven performance evaluation and player ranking in soccer via a machine learning approach L Pappalardo, P Cintia, P Ferragina, E Massucco, D Pedreschi, ... ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-27, 2019	210	2019
A public data set of spatio-temporal match events in soccer competitions L Pappalardo, P Cintia, A Rossi, E Massucco, P Ferragina, D Pedreschi, ... Scientific data 6 (1), 236, 2019	204	2019
Using big data to study the link between human mobility and socio-economic development L Pappalardo, D Pedreschi, Z Smoreda, F Giannotti 2015 IEEE international conference on big data (big data), 871-878, 2015	175	2015
A deep gravity model for mobility flows generation F Simini, G Barlacchi, M Luca, L Pappalardo Nature communications 12 (1), 6576, 2021	155	2021
An analytical framework to nowcast well-being using mobile phone data L Pappalardo, M Vanhoof, L Gabrielli, Z Smoreda, D Pedreschi, ... International Journal of Data Science and Analytics, 2016	152	2016
Data-driven generation of spatio-temporal routines in human mobility L Pappalardo, F Simini Data Mining and Knowledge Discovery, 2017	151	2017
Tiles: an online algorithm for community discovery in dynamic social networks G Rossetti, L Pappalardo, D Pedreschi, F Giannotti Machine Learning 106, 1213-1241, 2017	151	2017
scikit-mobility: A Python library for the analysis, generation and risk assessment of mobility data L Pappalardo, F Simini, G Barlacchi, R Pellungrini Journal of Statistical Software 103 (4), 1-38, 2022	145	2022
Small area model-based estimators using big data sources S Marchetti, C Giusti, M Pratesi, N Salvati, F Giannotti, D Pedreschi, ... Journal of Official Statistics 31 (2), 263-281, 2015	134	2015
Understanding the patterns of car travel L Pappalardo, S Rinzivillo, Z Qu, D Pedreschi, F Giannotti The European Physical Journal Special Topics 215, 61-73, 2013	132	2013
The harsh rule of the goals: Data-driven performance indicators for football teams P Cintia, F Giannotti, L Pappalardo, D Pedreschi, M Malvaldi 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015	128	2015
Human migration: The big data perspective A Sîrbu, G Andrienko, N Andrienko, C Boldrini, M Conti, F Giannotti, ... International Journal of Data Science and Analytics 11, 341-360, 2021	116	2021
A network-based approach to evaluate the performance of football teams P Cintia, S Rinzivillo, L Pappalardo Machine learning and data mining for sports analytics workshop, Porto, Portugal, 2015	91	2015
Quantifying the relation between performance and success in soccer L Pappalardo, P Cintia Advances in Complex Systems, https://doi.org/10.1142/S021952591750014X, 2017	90	2017
The purpose of motion: Learning activities from individual mobility networks S Rinzivillo, L Gabrielli, M Nanni, L Pappalardo, D Pedreschi, F Giannotti 2014 International conference on data science and advanced analytics (DSAA …, 2014	75	2014
Gravity and scaling laws of city to city migration R Prieto Curiel, L Pappalardo, L Gabrielli, SR Bishop PloS one 13 (7), e0199892, 2018	70	2018

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