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 2 (1-2), 75-92, 2016 | 144 | 2016 |
Assessing the quality of home detection from mobile phone data for official statistics M Vanhoof, F Reis, T Ploetz, Z Smoreda Journal of Official Statistics 34 (4), 935 - 960, 2018 | 72 | 2018 |
Identifying and modeling the structural discontinuities of human interactions S Grauwin, M Szell, S Sobolevsky, P Hövel, F Simini, M Vanhoof, ... Scientific reports 7 (1), 46677, 2017 | 62 | 2017 |
Closer to the total? Long-distance travel of French mobile phone users M Janzen, M Vanhoof, Z Smoreda, KW Axhausen Travel Behaviour and Society 11, 31-42, 2018 | 55 | 2018 |
Mobile phone indicators and their relation to the socioeconomic organisation of cities C Cottineau, M Vanhoof ISPRS International Journal of Geo-Information 8 (1), 19, 2019 | 35 | 2019 |
Comparing regional patterns of individual movement using corrected mobility entropy M Vanhoof, W Schoors, A Van Rompaey, T Ploetz, Z Smoreda Journal of Urban Technology 25 (2), 27-61, 2018 | 28 | 2018 |
Estimating Long-Distance Travel Demand with Mobile Phone Billing Data M Janzen, M Vanhoof, KW Axhausen, Z Smoreda 16th Swiss Transport Research Conference (STRC 2016), 2016 | 23 | 2016 |
Exploring the use of mobile phone data for domestic tourism trip analysis M Vanhoof, L Hendrickx, A Puussaar, G Verstraeten, T Ploetz, Z Smoreda Netcom. Réseaux, communication et territoires, 335-372, 2017 | 21 | 2017 |
Estimating the residential population from mobile phone data, an initial exploration B Sakarovitch, MP Bellefon, P Givord, M Vanhoof Economie et Statistique 505 (1), 109-132, 2018 | 20 | 2018 |
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art M Vanhoof, F Reis, Z Smoreda, T Ploetz Mobile Tartu 2016, 2016 | 20 | 2016 |
Performance and sensitivities of home detection on mobile phone data M Vanhoof, C Lee, Z Smoreda Big data meets survey science: a collection of innovative methods, 245-271, 2020 | 19 | 2020 |
London in lockdown: Mobility in the pandemic city M Batty, R Murcio, I Iacopini, M Vanhoof, R Milton COVID-19 Pandemic, Geospatial Information, and Community Resilience, 229-244, 2021 | 17 | 2021 |
Returning the particular: Understanding hierarchies in the Belgian logistics system J Beckers, M Vanhoof, A Verhetsel Journal of Transport Geography 76, 315-324, 2019 | 13 | 2019 |
Mining mobile phone data to detect urban areas M Vanhoof, S Combes, MP de Bellefon SIS 2017. Statistics and Data Science: new challenges, new generations …, 2017 | 8 | 2017 |
COVID-19 pandemic, geospatial information, and community resilience M Batty, R Murcio, I Iacopini, M Vanhoof, R Milton, A Rajabifard, ... CRC Press, 2021 | 5 | 2021 |
Purpose Imputation for Long-Distance Tours without Personal Information M Janzen, M Vanhoof, KW Axhausen Transportation Research Board 96th Annual Meeting Transportation Research Board, 2017 | 3 | 2017 |
Geographical veracity of indicators derived from mobile phone data M Vanhoof, Z Smoreda, T Plötz Netmob Book of Abstracts, 79-82, 2017 | 2 | 2017 |
Drawing Boundaries of Social Interactions M Vanhoof, Z Smoreda, C Ratti Uses and Value 52, 2-5, 2015 | 2 | 2015 |
Using Foursquare data to reveal spatial and temporal patterns in London M Vanhoof, A Godoy-Lorite, R Murcio, I Iacopini, N Zdanowska, ... NetMob 2019, 2019 | 1 | 2019 |
Archaeological Investigations in the Potenza Valley. Field Season 2013 F Vermeulen, M De Dapper, P Monsieur, G Verhoeven, L Verdonck, ... | 1 | 2013 |