Computers Environment and Urban Systems

Papers
(The H4-Index of Computers Environment and Urban Systems is 34. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-02-01 to 2025-02-01.)
ArticleCitations
Quantitative assessment and comparison of urban patterns in Germany and the United States228
ORTEGA: An object-oriented time-geographic analytical approach to trace space-time contact patterns in movement data94
Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios92
Road network evolution in the urban and rural United States since 190085
A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints79
Early warning of COVID-19 hotspots using human mobility and web search query data64
Time will not tell: Temporal approaches for privacy-preserving trajectory publishing62
Does real time experience matter? Comparison of retrospective and in-situ spatial data in participatory mapping59
A topology-based approach to identifying urban centers in America using multi-source geospatial big data59
Developing two-dimensional indicators of transport demand and supply to promote sustainable transportation equity55
Urban streets profiling with coupled spatio-temporal characteristics and topological information from the biking perspective53
What we can learn from selected, unmatched data: Measuring internet inequality in Chicago48
Inferring storefront vacancy using mobile sensing images and computer vision approaches48
Editorial Board47
Granularity of origins and clustering destinations in indoor wayfinding47
Identifying the spatial footprint of pollen distributions using the Geoforensic Interdiction (GOFIND) model47
Evolutions of households with every member out-of-home across Japanese cities from 1987 to 201546
Patterns of urban foot traffic dynamics46
A framework for human-computer interactive street network design based on a multi-stage deep learning approach45
Editorial Board44
Editorial Board43
A land-use transport-interaction framework for large scale strategic urban modeling42
Impacts of COVID-19 on urban networks: Evidence from a novel approach of flow measurement based on nighttime light data41
Streetscapes as part of servicescapes: Can walkable streetscapes make local businesses more attractive?41
Towards healthcare access equality: Understanding spatial accessibility to healthcare services for wheelchair users40
Modelling the effect of landmarks on pedestrian dynamics in urban environments39
A rapid analytics tool to map the effect of rezoning on property values39
UrbanClassifier: A deep learning-based model for automated typology and temporal analysis of urban fabric across multiple spatial scales and viewpoints39
Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore39
Network analysis and characterization of vulnerability in flood control infrastructure for system-level risk reduction39
How can SHAP (SHapley Additive exPlanations) interpretations improve deep learning based urban cellular automata model?38
High-resolution urban change modeling and flood exposure estimation at a national scale using open geospatial data: A case study of the Philippines36
Creating spatially complete zoning maps using machine learning35
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels34
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