| From mobile phone data to the spatial structure of cities T Louail, M Lenormand, OG Cantu Ros, M Picornell, R Herranz, ... Scientific reports 4 (1), 5276, 2014 | 490 | 2014 |
| Uncovering the spatial structure of mobility networks T Louail, M Lenormand, M Picornell, O Garcia Cantu, R Herranz, ... Nature communications 6 (1), 6007, 2015 | 187 | 2015 |
| Cross-checking different sources of mobility information M Lenormand, M Picornell, OG Cantú-Ros, A Tugores, T Louail, ... PloS one 9 (8), e105184, 2014 | 179 | 2014 |
| Influence of sociodemographic characteristics on human mobility M Lenormand, T Louail, OG Cantú-Ros, M Picornell, R Herranz, JM Arias, ... Scientific reports 5 (1), 10075, 2015 | 128 | 2015 |
| Comparing and modelling land use organization in cities M Lenormand, M Picornell, OG Cantú-Ros, T Louail, R Herranz, ... Royal Society open science 2 (12), 150449, 2015 | 109 | 2015 |
| Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona A Bassolas, JJ Ramasco, R Herranz, OG Cantu-Ros Transportation Research Part A: Policy and Practice 121 (March 2019), 56-74, 2019 | 59 | 2019 |
| The city turned off: Urban dynamics during the COVID-19 pandemic based on mobile phone data G Romanillos, JC García-Palomares, B Moya-Gómez, J Gutiérrez, ... Applied Geography 134, 102524, 2021 | 44 | 2021 |
| Fusing mobile phone data with other data sources to generate input OD matrices for transport models L Montero, X Ros-Roca, R Herranz, J Barceló Transportation research procedia 37, 417-424, 2019 | 36 | 2019 |
| Environmental benefits of air–rail intermodality: The example of Madrid Barajas M Zanin, R Herranz, S Ladousse Transportation Research Part E: Logistics and Transportation Review 48 (5 …, 2012 | 34 | 2012 |
| A methodology for understanding passenger flows combining mobile phone records and airport surveys: Application to Madrid-Barajas Airport after the COVID-19 outbreak J Burrieza-Galán, R Jordá, A Gregg, P Ruiz, R Rodríguez, MJ Sala, ... Journal of Air Transport Management 100, 102163, 2022 | 19 | 2022 |
| Big data analytics for a passenger-centric air traffic management system P García, R Herranz, J Javier 6th SESAR Innovation Days, 2016 | 19 | 2016 |
| A machine learning approach to air traffic route choice modelling R Marcos, O García-Cantú, R Herranz arXiv preprint arXiv:1802.06588, 2018 | 18 | 2018 |
| Understanding Door-to-Door Travel Times from Opportunistically Collected Mobile Phone Records P García-Albertos, OGC Ros, R Herranz, C Ciruelos SESAR Innovation Days 2017, 2017 | 17 | 2017 |
| Creating the future airport passenger experience: IMHOTEP MAM Mota, PM Scala, E Jimenez, M Schultz European Modeling and Simulation Symposium 2020, 2020 | 16 | 2020 |
| Corrigendum: Influence of sociodemographic characteristics on human mobility M Lenormand, T Louail, OG Cantú-Ros, M Picornell, R Herranz, JM Arias, ... Scientific reports 5, 2015 | 16 | 2015 |
| Analyzing door-to-door travel times through mobile phone data: A case study of Spanish airports P García-Albertos, OG Cantú Ros, R Herranz CEAS Aeronautical Journal 11 (2), 345-354, 2020 | 13 | 2020 |
| Combining Visual Analytics and Machine Learning for Route Choice Prediction R Marcos, OGC Ros, R Herranz SESAR Innovation Days 2017, 2017 | 13 | 2017 |
| Airport slot allocation: performance of the current system and options for reform A Ranieri, N Alsina, L Castelli, T Bolic, R Herranz 3rd SESAR Innovation Days (SIDs), 2013 | 12 | 2013 |
| Price-Setting Auctions for Airport Slot Allocation: a Multi-Airport Case Study R Herranz, D Toribio, M Ramírez, F Villafáñez, JA Araúzo, D Poza, ... | 11 | 2015 |
| Visual Analytics and Machine Learning for Air Traffic Management Performance Modelling: Preliminary Findings of the INTUIT Project and Prospects for Future Research R Marcos, D Toribio, L Garrigó, N Alsina, N Adrienko, G Andrienko, ... SESAR Innovation Days 2016, 2016 | 9* | 2016 |
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