Computers, Environment and Urban Systems

Aims & Scope

Computers, Environment and Urban Systems is an interdisciplinary journal publishing cutting-edge and innovative computer-based research on urban systems, systems of cities, and built and natural environments , that privileges the geospatial perspective.

The journal provides a stimulating presentation of perspectives, research developments, overviews of important new technologies and uses of major computational, information-based, and visualization innovations.

Applied and theoretical contributions demonstrate the scope of computer-based analysis fostering a better understanding of urban systems, the synergistic relationships between built and natural environments, their spatial scope and their dynamics.

Application areas include infrastructure and facilities management, physical planning and urban design, land use and transportation, business and service planning, coupled human and natural systems, urban planning, socio-economic development, emergency response and hazards, and land and resource management.

Examples of methodological approaches include decision support systems, geocomputation, spatial statistical analysis, complex systems and artificial intelligence, visual analytics and geovisualization, ubiquitous computing, and space-time simulation.

Contributions emphasizing the development and enhancement of computer-based technologies for the analysis and modeling, policy formulation, planning, and management of environmental and urban systems that enhance sustainable futures are especially sought.

The journal also encourages research on the modalities through which information and other computer-based technologies mold environmental and urban systems.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	8.3

SJR (SCImago Journal Rank)

Year	Value
2024	2.523

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	118

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Environmental Science and Social Sciences, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• OSMnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks

  Citation: 1177

  Authors: Geoff

• Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China

  Citation: 1155

  Authors: Xun, Qingfeng, Keith C., Shishi, Bingyu, Yao

• Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost

  Citation: 594

  Authors: Ziqi

• Using neural networks and GIS to forecast land use changes: a Land Transformation Model

  Citation: 580

  Authors: Bryan C, Daniel G, Bradley A, Gaurav A

• Kernel Density Estimation of traffic accidents in a network space

  Citation: 501

  Authors: Zhixiao, Jun

• Modeling urban dynamics through GIS-based cellular automata

  Citation: 486

  Authors: M., Yichun, Zhanli

• The role of spatial metrics in the analysis and modeling of urban land use change

  Citation: 465

  Authors: Martin, Helen, Keith C.

• High-resolution integrated modelling of the spatial dynamics of urban and regional systems

  Citation: 445

  Authors: R., G.

• Modeling urban growth in Atlanta using logistic regression

  Citation: 416

  Authors: Zhiyong, C.P.

• Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal

  Citation: 388

  Authors: E.A, K.C

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