OOIR: Observatory of International Research

Papers

(The H4-Index of Computers Environment and Urban Systems is 37. 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 2021-09-01 to 2025-09-01.)

Article	Citations
Model-based estimation of the isolated impacts of urban expansion on projected streamflow values under varied climate scenarios	535
Function and form of U.S. cities	108
How far are we towards sustainable Carfree cities combining shared autonomous vehicles with park-and-ride: An agent-based simulation assessment for Brussels	96
An integrated global model of local urban development and population change	92
Navigating the post-pandemic urban landscape: Disparities in transportation recovery & regional insights from New York City	91
An ANN-based method for population Dasymetric mapping to avoid the scale heterogeneity: A case study in Hong Kong, 2016–2021	90
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models	89
A land-use transport-interaction framework for large scale strategic urban modeling	85
Streetscapes as part of servicescapes: Can walkable streetscapes make local businesses more attractive?	83
A building volume adjusted nighttime light index for characterizing the relationship between urban population and nighttime light intensity	76
Enhanced solution capabilities for multiple patch land allocation	73
Analyzing usage patterns from video data through deep learning: The case of an urban park	72
Using a deep learning model to quantify trash accumulation for cleaner urban stormwater	71
Detecting cities with high intermediacy in the African urban network	67
Homogeneity and heterogeneity of diurnal and nocturnal hotspots and the implications for synergetic mitigation in heat-resilient urban planning	67
A simple agent-based model for planning for bicycling: Simulation of bicyclists' movements in urban environments	63
Delineating urban functional zones using mobile phone data: A case study of cross-boundary integration in Shenzhen-Dongguan-Huizhou area	63
Characterizing residential segregation in cities using intensity, separation, and scale indicators	61
Quality assessment of crowdsourced social media data for urban flood management	56
Locating offenders: Introducing the reverse spatial patterning approach	54
Large-scale agent-based modelling of street robbery using graphical processing units and reinforcement learning	52
Augmenting the Social Vulnerability Index using an agent-based simulation of Hurricane Harvey	51
Using street-view panoramas to model the decision-making complexity of road intersections based on the passing branches during navigation	50
Plot-scale population estimation modeling based on residential plot form clustering and locational attractiveness analysis	50
Corrigendum to “An integrated physical-social analysis of disrupted access to critical facilities and community service-loss tolerance in urban flooding” [Computers, Environment and Urban Systems 80 (	48

Understanding the protection of privacy when counting subway travelers through anonymization	48
Editorial Board	47
Community time-activity trajectory modeling based on Markov chain simulation and Dirichlet regression	45
A framework for modelling spatio-temporal informal settlement growth prediction	43
Machine learning to model gentrification: A synthesis of emerging forms	42
Strategic allocation of landmarks to reduce uncertainty in indoor navigation	42
Capturing the spatial arrangement of POIs in crime modeling	41
A user-friendly assessment of six commonly used urban growth models	40
Hedonic price models, social media data and AI – An application to the AIRBNB sector in us cities	39
Towards a scalable and transferable approach to map deprived areas using Sentinel-2 images and machine learning	38
‘Green or short: choose one’ - A comparison of walking accessibility and greenery in 43 European cities	38
Delineating functional urban areas in Chinese mega city regions using fine-grained population data and cellphone location data: A case of Pearl River Delta	37