| Smart cities in perspective–a comparative European study by means of self-organizing maps K Kourtit, P Nijkamp, D Arribas Innovation: The European journal of social science research 25 (2), 229-246, 2012 | 519 | 2012 |
| Multidimensional urban sprawl in Europe: A self-organizing map approach D Arribas-Bel, P Nijkamp, H Scholten Computers, Environment and Urban Systems, 2010 | 316 | 2010 |
| Accidental, open and everywhere: Emerging data sources for the understanding of cities D Arribas-Bel Applied Geography 49, 45-53, 2014 | 283 | 2014 |
| Spatial fixed effects and spatial dependence in a single cross‐section L Anselin, D Arribas-Bel Papers in Regional Science 92 (1), 3-17, 2013 | 241 | 2013 |
| The validity of the monocentric city model in a polycentric age: US metropolitan areas in 1990, 2000 and 2010 D Arribas-Bel, F Sanz-Gracia Urban Geography 35 (7), 980-997, 2014 | 211 | 2014 |
| Key questions for modelling COVID-19 exit strategies RN Thompson, TD Hollingsworth, V Isham, D Arribas-Bel, B Ashby, ... Proceedings of the Royal Society B 287 (1932), 20201405, 2020 | 133 | 2020 |
| Geographic data science A Singleton, D Arribas‐Bel Geographical Analysis 53 (1), 61-75, 2021 | 128 | 2021 |
| Spatial variation in the quality of American Community Survey estimates DC Folch, D Arribas-Bel, J Koschinsky, SE Spielman Demography 53 (5), 1535-1554, 2016 | 128 | 2016 |
| Uncertain Uncertainty: Spatial Variation in the Quality of American Community Survey Estimates DC Folch, D Arribas-Bel, J Koschinsky, SE Spielman | 128* | 2014 |
| Building (s and) cities: Delineating urban areas with a machine learning algorithm D Arribas-Bel, MÀ Garcia-López, E Viladecans-Marsal Journal of Urban Economics 125, 103217, 2021 | 90 | 2021 |
| Buy online collect in-store: exploring grocery click&collect using a national case study A Davies, L Dolega, D Arribas-Bel International Journal of Retail & Distribution Management 47 (3), 278-291, 2019 | 81 | 2019 |
| Cyber Cities: Social Media as a Tool for Understanding Cities D Arribas-Bel, K Kourtit, P Nijkamp, J Steenbruggen Applied Spatial Analysis and Policy 8 (3), 231-247, 2015 | 80 | 2015 |
| Urban exodus? Understanding human mobility in Britain during the COVID‐19 pandemic using Meta‐Facebook data F Rowe, A Calafiore, D Arribas‐Bel, K Samardzhiev, M Fleischmann Population, Space and Place, e37, 2022 | 75 | 2022 |
| Benchmarking of world cities through self-organizing maps D Arribas-Bel, K Kourtit, P Nijkamp Cities 31, 248-257, 2013 | 73 | 2013 |
| A Hierarchical Urban Forest Index Using Street-Level Imagery and Deep Learning P Stubbings, J Peskett, F Rowe, D Arribas-Bel Remote Sensing 11 (12), 1395, 2019 | 68 | 2019 |
| Open data products-A framework for creating valuable analysis ready data D Arribas-Bel, M Green, F Rowe, A Singleton Journal of Geographical Systems 23 (4), 497-514, 2021 | 65 | 2021 |
| Machine learning innovations in address matching: A practical comparison of word2vec and CRFs S Comber, D Arribas‐Bel Transactions in GIS 23 (2), 334-348, 2019 | 59 | 2019 |
| Measuring spatial dynamics in metropolitan areas SJ Rey, L Anselin, DC Folch, D Arribas-Bel, ML Sastré Gutiérrez, ... Economic Development Quarterly 25 (1), 54-64, 2011 | 58 | 2011 |
| Understanding the dynamics of urban areas of interest through volunteered geographic information M Chen, D Arribas-Bel, A Singleton Journal of Geographical Systems 21 (1), 89-109, 2019 | 57 | 2019 |
| Remote sensing-based measurement of Living Environment Deprivation: Improving classical approaches with machine learning D Arribas-Bel, JE Patino, JC Duque PloS one 12 (5), e0176684, 2017 | 57 | 2017 |
Peter NijkampProfessor of Economics, VU University, AmsterdamVerified email at vu.nl