Publications

Papers in International Journals:

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 Adv Stat Anal 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. Ann Oper Res 325, 441–465 (2023). doi: 10.1007/s10479-022-04653-z

https://link.springer.com/article/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. Ann Oper Res 325, 521–538 (2023). doi: 10.1007/s10479-021-04391-8

https://link.springer.com/article/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

https://link.springer.com/article/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, Nat. Hazards Earth Syst. Sci., 20, 3485–3500, https://doi.org/10.5194/nhess-20-3485-2020

https://nhess.copernicus.org/articles/20/3485/2020/nhess-20-3485-2020.html

https://rdcu.be/b3WmG

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

https://www.tandfonline.com/eprint/ZPSACJ9NPKI4GUVARKIF/full?target=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.

https://www.degruyter.com/view/j/jqas.2018.14.issue-3/jqas-2018-0041/jqas-2018-0041.xml

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

https://link.springer.com/article/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

http://www.mdpi.com/2225-1146/6/1/9/html

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

http://siba-ese.unisalento.it/index.php/ejasa/article/view/16550

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

http://www.sciencedirect.com/science/article/pii/S0309170817303299

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

http://onlinelibrary.wiley.com/doi/10.1111/twec.12504/full

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

http://www.vitaepensiero.it/scheda-articolo_digital/rodolfo-metulini/filtering-procedures-for-sensor-data-in-basketball-999999_2017_0002_0133-346136.html

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

http://journals.plos.org/plosone/article/metrics?id=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

http://www.sciencedirect.com/science/article/pii/S037843711400795X

Chapters in contributed volumes:

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.

https://link.springer.com/chapter/10.1007/978-3-319-30196-9_8

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

https://link.springer.com/chapter/10.1007/978-3-030-21158-5_23

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.

https://www.taylorfrancis.com/chapters/water-food-conflicts-refugee-movements-rodolfo-metulini-massimo-riccaboni-francesco-serti/e/10.4324/9780429025013-15

4) 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

https://fupress.com/capitoli/modelling-the-spatio-temporal-dynamic-of-traffic-flows-with-gravity-models-and-mobile-phone-data/9578

5) 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. https://doi.org/10.1007/978-3-031-25599-1_2

Conference Proceedings:

1) 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

2) 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

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

https://dssr2020.altervista.org/book-of-abstracts/

4) 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

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

https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Dirigenti%20e%20istituzioni/ISTITUZIONI-HE-PDF-sis2019_V4.pdf

6) 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

https://it.pearson.com/content/dam/region-core/italy/pearson-italy/pdf/Dirigenti%20e%20istituzioni/ISTITUZIONI-HE-PDF-sis2019_V4.pdf

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

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

9) 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

10) Metulini R., (2018), Players Movements and Team Shooting Performance: a Data Mining
approach for Basketball. Book of short papers SIS2018, ISBN-9788891910233. Publisher:
Pearson, Editors: Antonino Abbruzzo, Eugenio Brentari, Marcello Chiodi e Davide Piacentino.

11) 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.

12) 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.

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

14) Metulini,R. (2013, November). Spatial gravity models for international trade: a panel
analysis among OECD countries. In ERSA conference papers (No. ersa13p522). European
Regional Science Association.

15) Metulini,R. (2013, November). A structural analysis on Gravity of Trade regarding the
possibility to remove distance from the model. In ERSA conference papers (No. ersa13p520).
European Regional Science Association.