Research

Below, my full list of scientific articles published during my 10+ years of research activity in Academia.  Totally, it consists of 25+ peer-reviewed scientific papers with DOI, 20+ conference proceedings with ISBN, and a special issue's Editorial 

You can either give a look or download it ...  

Peer review papers published in international journals:

21) Carpita, M., De Luca, G., Metulini, R., Zuccolotto, P. (2024). Traffic flows time series in a flood-prone area: modeling and clustering on extreme values with a spatial constraint. Stochastic Environmental Research and Risk Assessment (accepted).

20) Perazzini, S., Metulini, R., & Carpita, M. (2023). Integration of flows and signals data from mobile phone network for statistical analyses of traffic in a flooding risk area. Socio-Economic Planning Sciences, 90, 101747, doi: 10.1016/j.seps.2023.101747 

19) Perazzini, S., Metulini, R. and Carpita, M. (2023).  Statistical indicators based on mobile phone and street maps data for risk management in small urban areas. Statistical Methods & Applications. Online first, doi:10.1007/s10260-023-00719-9 

18) Biancalani, F., G. Gnecco, R. Metulini, and M. Riccaboni (2023). Prediction of annual CO2 emissions at the country and sector levels, based on a matrix completion optimization problem. Optimization Letters. Online first, doi: 10.1007/s11590-023-02052-2

17) Metulini, R., Carpita, M., (2023), Modeling and forecasting traffic flows with mobile phone big data in flooding risk areas to support a data-driven decision making - Annals of Operations Research. Online first, doi: 10.1007/s10479-023-05195-8

16) Biancalani, F., Gnecco, G., Metulini, R., (2023), The relationship between players’ average marginal contributions and salaries: an application to NBA basketball using the generalized Shapley value - Italian Journal of Applied Statistics, vol.35(2). doi: 10.26398/IJAS.0035-007

15) Metulini, R., Gnecco, G., Biancalani, F. et al. Hierarchical clustering and matrix completion for the reconstruction of world input-output tables. AStA Advances in Statistical Analysis 107, 575–620 (2023). doi: 10.1007/s10182-022-00448-6

14) Metulini, R., Gnecco, G. Measuring players’ importance in basketball using the generalized Shapley value. Annals of Operations Research 325, 441–465 (2023). doi: 10.1007/s10479-022-04653-z

13) Facchinetti, T., Metulini, R. & Zuccolotto, P. Filtering active moments in basketball games using data from players tracking systems. Annals of Operations Research 325, 521–538 (2023). doi: 10.1007/s10479-021-04391-8

12) Metulini, R., Carpita, M.,  (2021), A Spatio-Temporal Indicator for City Users based on Mobile Phone Signals and Administrative Data - Social Indicator Research, vol. 156, pp. 761-781.  DOI: 10.1007/s11205-020-02355-2.

11) Balistrocchi, M., Metulini, R., Carpita, M., and Ranzi, R., (2020), Dynamic maps of human exposure to floods based on mobile phone data, Natural Hazards and Earth System Sciences, 20, 3485–3500, https://doi.org/10.5194/nhess-20-3485-2020

10) Metulini, R., Le Carre, M. (2020), Measuring Sport Performances Under Pressure by Classification Trees with Application to Basketball Shooting. Journal of Applied Statistics, 47 (12), 2120-2135. DOI: 10.1080/02664763.2019.1704702 

9) Metulini, R., Manisera, M., & Zuccolotto, P. (2018). Modelling the dynamic pattern of surface area in basketball and its effects on team performance. Journal of Quantitative Analysis in Sports, 14(3), 117-130. 

8) Metulini, R., Schiavo, S.,Sgrignoli, P., Riccaboni, M. (2018) The Network of Migrants and International Trade. Economia Politica doi:10.1007/s40888-018-0106-6

7) Metulini, R., Patuelli, R., Griffith, D.A. (2018), A Spatial Filtering Zero Inflated Approach to the Estimation of the Gravity Model of Trade. Econometrics. 6(1), 9; doi: 10.3390/econometrics6010009 

6) Metulini, R. (2017), Spatio-Temporal Movements in Team Sports: A Visualization approach using Motion Charts. Electronic Journal of Applied Statistical Analysis. Vol 10, No 3. doi: 10.1285/i20705948v10n3p809 

5) De Angelis, E., Metulini, R., Bove, V., Riccaboni, M. (2017) Virtual Water Trade and Bilateral Conflicts. Advances in Water Resources. Volume 110, December 2017, Pages 549-561. doi:10.1016/j.advwatres.2017.04.002  

4) Metulini, R., Riccaboni, M., Sgrignoli, P.,  Zhu, Z. (2017) The Indirect Effects of FDI on Trade: A Network Perspective. The World Economy. Volume 40, Issue 10, October 2017, Pages 2193- 2225. DOI:10.1111/twec.12504 

3) Metulini, R. (2017), Filtering procedures for sensor data in basketball, Statistics & Applications 15 (2), 133-150

2) Metulini R, Tamea S, Laio F, Riccaboni M. (2016) The Water Suitcase of Migrants: Assessing Virtual Water Fluxes Associated to Human Migration. PLoS ONE 11(4): e0153982. doi:10.1371/journal.pone.0153982 

1) Sgrignoli, P., Metulini, R., Schiavo, S., Riccaboni, M. (2015) The relation between global migration and trade networks. Physica A: Statistical Mechanics and its Applications, 417, 245-260. doi:10.1016/j.physa.2014.09.037 

Chapters in contributed volumes:

4) Biancalani, F., Gnecco, G., Metulini, R., Riccaboni, M. (2023). Matrix Completion for the Prediction of Yearly Country and Industry-Level CO22 Emissions. In: , et al. Machine Learning, Optimization, and Data Science. LOD 2022. Lecture Notes in Computer Science, vol 13810. Springer, Cham.

3) Metulini, R., Riccaboni, M., Serti, F., (2020), Water-in-food, Conflicts and Refugee Movements: A Comprehensive Analysis,  in: T. Distefano (eds.), Water Resources and Economic Processes (Routledge) pp. 224-261. 

2) Manisera, M., Metulini, R., & Zuccolotto, P. (2019). Basketball Analytics Using Spatial Tracking Data. New Statistical Developments in Data Science (Springer), pp. 305-318

1) Patuelli, R., Linders, G.J., Metulini, R., Griffith, D.A. (2016), The Space of Gravity: Spatial Filtering Estimation of a Gravity Model for Bilateral Trade. Spatial Econometric Interaction Modelling, pp. 145-169. Springer. 

Editorials:

1) Carpita, M., Metulini, R., Van Eetvelde, H. (2023). STATISTICS FOR PERFORMANCE AND MATCH ANALYSIS IN SPORTS. Italian Journal of Applied Statistics, vol. 35(1), doi: 10.26398/IJAS.0035-001

Conference Proceedings:

21) Metulini, R., Biancalani, F., Gnecco, G. (2023) The generalized shapley measure for ranking players in basketball: applications and future directions - CLADAG 2023 - Book of Abstracts and Short Papers, pp. 241-244, ISBN: 9788891935632

20) Perazzini, S., Metulini, R., Carpita, M. (2023) Functional clustering methods for space-time big data from mobile phone networks - 11th Scientific Meeting of the SIS Group ”Statistics for the Evaluation and Quality in Services” (IES), book of short papers (eds. Andrea Bucci, Alfredo Cartone, Adelia Evangelista, Andrea Marletta), pp. 476-482, ISBN 979-12-803-3369-8; DOI 10.60984/978- 88-94593-36-5-IES2023.

19) Zuccolotto, P., De Luca, G., Metulini, R., Carpita, M. (2023) Modeling and clustering of traffic flows time series in a flood prone area - Proceedings of the Statistics and Data Science Conference (SDS), 124-129.

18) Perazzini, S., Metulini, R., Carpita, M. (2023) Spatio-temporal statistical analyses for risk evaluation using big data from mobile phone network - Proceedings of the Statistics and Data Science Conference (SDS), 124-129.

17) Perazzini, S., Metulini, R., Carpita, M. (2023) Revealing the dynamic relations between traffic and crowding using big data from mobile phone network - SIS 2023 book of short papers, eds. Chelli, Francesco Maria; Ciommi, Mariateresa; Ingrassia, Salvatore; Mariani, Francesca; Recchioni, Maria Cristina. ISBN: to be defined

16) Metulini, R., Biancalani, F., Gnecco, G., Riccaboni, M. (2023). Assessing the performance of nuclear norm-based matrix completion methods on CO2 emissions data - SIS 2023 book of short papers, eds. Chelli, Francesco Maria; Ciommi, Mariateresa; Ingrassia, Salvatore; Mariani, Francesca; Recchioni, Maria Cristina. ISBN: to be defined

15) Metulini, R., Gnecco, G., Biancalani, F., Riccaboni, M. (2022). A Statistical Approach for the Completion of Input-Output Tables - SIS 22 book of short papers, eds. Antonio Balzanella, Matilde Bini, Carlo Cavicchia, Rosanna Verde. Pearson, ISBN: 9788891932310

14) Metulini, R., Carpita, M. (2022), Forecasting Traffic Flows with Complex Seasonality using Mobile Phone Data - Proceedings of IES 2022: innovation and Society 5.0: Statistical and Economic Methodologies for Quality Assessment

13) Carpita, M; Metulini, R. (2021), Modelling the spatio-temporal dynamic of traffic flows with gravity models and mobile phone data. ASA 2021 Statistics and Information Systems for Policy Evaluation. pp. 99-104. Eds. Bertaccini, Fabbris, Petrucci

12) Metulini, R., Giordano, F. (2021), A screening procedure for high-dimensional autologistic models, SIS 2021, Book of short papers, editors: Cira Perna, Nicola Salvati, Francesco Schirripa Spagnolo. ISBN 9788891927361

11) Carpita, M., Metulini, R., (2020), Dynamic crowding maps with mobile phone big data. Data Science & Social Research (DSSR) 2020, in BoA: Antonucci L., Kostiuk Y. eds. (2020). Book of Abstracts, Third International Conference on Data 

10) Metulini, R., Carpita, M. (2019) The HOG-FDA Approach with Mobile Phone Data to Modeling the Dynamic of People’s Presences in the City, Ed. M. Bini, P. Amenta, A. D'Ambra, I. Camminatiello, Statistical Methods for Service Quality Evaluation, Book of short papers of IES 2019, Rome, Italy, July 4-5

9) Facchinetti, T., Metulini, R., Zuccolotto, P. (2019) Detecting and classifying moments in basketball matches using sensor tracked data. SIS 2019 - Smart Statistics for Smart Applications - Book of short papers, editors: Giuseppe Arbia, Stefano Peluso, Alessia Pini, Giulia Rivellini. ISBN 9788891915108

8) Metulini, R., Carpita, M. (2019) A strategy for the matching of mobile phone signals with census data. SIS 2019 - Smart Statistics for Smart Applications - Book of short papers, editors: Giuseppe Arbia, Stefano Peluso, Alessia Pini, Giulia Rivellini. ISBN 9788891915108

7) Manisera M., Metulini R., Sandri M., Zuccolotto P. (2019), Basketball Spatial Performance Indicators. Data Science & Social Research (DSSR) 2019, Book of Abstracts, ISBN: 9788894312096

6) Metulini R., Carpita, M. (2019), Human Activity Spatio-Temporal Indicators using Mobile Phone Data. Data Science & Social Research (DSSR) 2019, Book of Abstracts, ISBN: 9788894312096

5) Metulini R. (2018), Modelling the dynamic pattern of surface area in basketball and its effects on team performance. Book of abstract, COMPSTAT 2018. ISBN: 978-9963-2227-3-5

4) Metulini R., (2018), Players Movements and Team Shooting Performance: a Data Mining approach for Basketball. Book of short papers SIS 2018, ISBN-9788891910233. Publisher: Pearson, Editors: Antonino Abbruzzo, Eugenio Brentari, Marcello Chiodi e Davide Piacentino.

3) Metulini R., Manisera M., Zuccolotto P. (2017), Space-Time Analysis of Movements in Basketball using Sensor Data. In A. Petrucci and R. Verde (Eds.) Statistics and Data Science: new challenges, new generations. Proceedings of the SIS 2017 Conference of the Italian Statistical Society (University of Florence, 28-30 June 2017), Firenze University Press, pp. 701-706. ISBN (on line) 978-88-6453-521-0.

2) Metulini, R., Manisera, M., Zuccolotto, P. (2017), Sensor Analytics in Basketball. Proceedings of the 6th International Conference on Mathematics in Sport. In C. De Francesco, L. De Giovanni, M. Ferrante, G. Fonseca, F. Lisi, S. Pontarollo, Proceedings of MathSport International 2017 Conference (University of Padua, 26-28 June 2017), Padova University Press, pp. 265-274. ISBN: 978-88-6938-058-7.

1) Sgrignoli, P., Metulini, R., Schiavo, S., Riccaboni, M. (2013, December). The Relation between Global Migration and Trade Networks. In Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on (pp. 553-560). IEEE.