Computers Environment and Urban Systems

Papers
(The H4-Index of Computers Environment and Urban Systems is 40. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
An integrated global model of local urban development and population change988
Function and form of U.S. cities133
Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City125
Modeling shared e-micromobility as a label propagation process for detecting overlapping communities118
Streetscapes as part of servicescapes: Can walkable streetscapes make local businesses more attractive?110
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels101
A critical assessment of selected urban resilience decision-support tools in the United States91
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models88
Model-based estimation of the isolated impacts of urban expansion on projected streamflow values under varied climate scenarios85
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–202181
A land-use transport-interaction framework for large scale strategic urban modeling80
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity75
Analyzing usage patterns from video data through deep learning: The case of an urban park75
Large-scale agent-based modelling of street robbery using graphical processing units and reinforcement learning74
Enhanced solution capabilities for multiple patch land allocation68
Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey66
Locating offenders: Introducing the reverse spatial patterning approach65
Homogeneity and heterogeneity of diurnal and nocturnal hotspots and the implications for synergetic mitigation in heat-resilient urban planning63
Characterizing residential segregation in cities using intensity, separation, and scale indicators58
Why same datasets yield different environment–activity relationships? Hidden uncertainties in geospatial processing methods58
Detecting cities with high intermediacy in the African urban network58
Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area57
Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation56
Machine learning to model gentrification: A synthesis of emerging forms55
Understanding the protection of privacy when counting subway travelers through anonymization55
A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments55
Strategic allocation of landmarks to reduce uncertainty in indoor navigation51
Hedonic price models, social media data and AI – An application to the AIRBNB sector in us cities48
Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression47
Capturing the spatial arrangement of POIs in crime modeling47
Machine learning application to spatio-temporal modeling of urban growth46
A graph-based neural network approach to integrate multi-source data for urban building function classification45
Does partition matter? A new approach to modeling land use change44
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning44
Plot-scale population estimation modeling based on residential plot form clustering and locational attractiveness analysis44
Interpretable machine learning models for crime prediction44
‘Green or short: choose one’ - A comparison of walking accessibility and greenery in 43 European cities43
A user-friendly assessment of six commonly used urban growth models43
Logistic facility identification from spatial time series data42
The fallacy of the closest antenna: Towards an adequate view of device location in the mobile network40
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