| Exploring gendered cycling behaviours within a large-scale behavioural dataset R Beecham, J Wood Transportation Planning and Technology 37 (1), 83-97, 2014 | 199 | 2014 |
| Studying commuting behaviours using collaborative visual analytics R Beecham, J Wood, A Bowerman Computers, Environment and Urban Systems 47 (September 2014), 5-15, 2014 | 70 | 2014 |
| Moving beyond sequential design: Reflections on a rich multi-channel approach to data visualization J Wood, R Beecham, J Dykes IEEE transactions on visualization and computer graphics 20 (12), 2171-2180, 2014 | 61 | 2014 |
| Map LineUps: effects of spatial structure on graphical inference R Beecham, J Dykes, W Meulemans, A Slingsby, C Turkay, J Wood IEEE Transactions on Visualization and Computer Graphics 23 (1), 391-400, 2017 | 58 | 2017 |
| Characterising group-cycling journeys using interactive graphics R Beecham, J Wood Transportation Research Part C: Emerging Technologies 47, 194-206, 2014 | 56 | 2014 |
| Visual analysis of social networks in space and time using smartphone logs A Slingsby, R Beecham, J Wood Pervasive and Mobile Computing 9 (6), 848-864, 2013 | 32 | 2013 |
| Is the London cycle hire scheme becoming more inclusive? An evaluation of the shifting spatial distribution of uptake based on 70 million trips R Lovelace, R Beecham, E Heinen, EV Tortosa, Y Yang, C Slade, ... Transportation Research Part A: Policy and Practice 140, 1-15, 2020 | 21 | 2020 |
| Locally-varying explanations behind the United Kingdom's vote to leave the European Union R Beecham, A Slingsby, C Brunsdon Journal of Spatial Information Science 16, 117-136, 2018 | 18 | 2018 |
| Faceted Views of Varying Emphasis (FaVVEs): a framework for visualising multi‐perspective small multiples R Beecham, C Rooney, S Meier, J Dykes, A Slingsby, C Turkay, J Wood, ... Computer Graphics Forum 35 (3), 241-249, 2016 | 17 | 2016 |
| Understanding the impacts of public transit disruptions on bikeshare schemes and cycling behaviours using spatiotemporal and graph-based analysis: A case study of four London … Y Yang, R Beecham, A Heppenstall, A Turner, A Comber Journal of Transport Geography 98, 103255, 2022 | 14 | 2022 |
| Regionally-structured explanations behind area-level populism: An update to recent ecological analyses R Beecham, N Williams, A Comber Plos one 15 (3), e0229974, 2020 | 14 | 2020 |
| A visual analytics approach to understanding cycling behaviour R Beecham, J Wood, A Bowerman Science and Technology (VAST) 14, 19, 2012 | 12 | 2012 |
| Design exposition discussion documents for rich design discourse in applied visualization R Beecham, J Dykes, C Rooney, W Wong IEEE transactions on visualization and computer graphics 27 (8), 3451-3462, 2020 | 10* | 2020 |
| On the use of ‘glyphmaps’ for analysing the scale and temporal spread of covid-19 reported cases R Beecham, J Dykes, L Hama, N Lomax ISPRS International Journal of Geo-Information 10 (4), 213, 2021 | 8 | 2021 |
| Contraflows and cycling safety: Evidence from 22 years of data involving 508 one-way streets C Tait, R Beecham, R Lovelace, S Barber Accident Analysis & Prevention 179, 106895, 2023 | 7 | 2023 |
| Is cycling infrastructure in London safe and equitable? Evidence from the cycling infrastructure database C Tait, R Beecham, R Lovelace, S Barber Journal of Transport & Health 26, 101369, 2022 | 7 | 2022 |
| Connected bikeability in London: which localities are better connected by bike and does this matter? R Beecham, Y Yang, C Tait, R Lovelace Environment and Planning B: Urban Analytics and City Science, 2023 | 6 | 2023 |
| Using bikeshare datasets to improve urban cycling experience and research urban cycling behaviour R Beecham Cycling Futures, 267-283, 2016 | 5 | 2016 |
| Characterising labour market self-containment in London with geographically arranged small multiples R Beecham, A Slingsby Environment and Planning A: Economy and Space 51 (6), 1217-1224, 2019 | 4 | 2019 |
| Identifying and explaining inter-peak cycling behaviours within the London Cycle Hire Scheme Conference R Beecham, J Wood, A Bowerman | 4 | 2012 |
Jo WoodProfessor of Visual Analytics | giCentre, City, University of London在 city.ac.uk 的电子邮件经过验证
