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Computers, Environment and Urban Systems : Impact Factor & More

eISSN: 1873-7587pISSN: 0198-9715

Key Metrics

CiteScore
10.7
SJR
Q1Urban Studies
SNIP
2.16
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Topics Covered on Computers, Environment and Urban Systems

Computers, Environment and Urban Systems Journal Specifications

Indexed in the following public directories

  • Web of Science Web of Science
  • Scopus Scopus
  • Inspec Inspec
  • SJR SJR
Overview
Publisher ELSEVIER SCI LTD
Language Multi-Language
Frequency Bi-monthly
General Details
LanguageMulti-Language
FrequencyBi-monthly
Publication Start Year1975
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in Computers, Environment and Urban Systems

Uncovering merging and joining as urban expansion processes
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Modelling spatio-temporal distribution of urban population - A high-resolution model for German cities
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On predicting sociodemographics from mobility signals
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Causal discovery in urban data with temporal empirical dynamic modeling: The R package tEDM
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Generative AI and causal-spatial modeling for understanding nighttime pedestrian risk in urban systems
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Delineating urban development boundaries in urban agglomeration: Integrating flow-based approach and U-Net deep learning
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Uncovering merging and joining as urban expansion processes
  • 1 Jul 2026
  • Computers, Environment and Urban Systems
Modelling spatio-temporal distribution of urban population - A high-resolution model for German cities
  • 1 Jul 2026
  • Computers, Environment and Urban Systems
On predicting sociodemographics from mobility signals
  • 1 Jul 2026
  • Computers, Environment and Urban Systems
Causal discovery in urban data with temporal empirical dynamic modeling: The R package tEDM
  • 1 Jul 2026
  • Computers, Environment and Urban Systems
Generative AI and causal-spatial modeling for understanding nighttime pedestrian risk in urban systems
  • 1 Jul 2026
  • Computers, Environment and Urban Systems
Delineating urban development boundaries in urban agglomeration: Integrating flow-based approach and U-Net deep learning
  • 1 Jul 2026
  • Computers, Environment and Urban Systems

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