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INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE : Impact Factor & More

eISSN: 1362-3087pISSN: 1365-8816

Aims and Scope of INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

International Journal of Geographical Information Science is a monthly peer-reviewed scientific journal published by Taylor & Francis. The editor-in-chief is May Yuan (University of Texas at Dallas), who succeeded Brian Lees (University of New South Wales)) in January 2017. The journal covers original research in fundamental and computational geographic information science, including applying geographical information science to monitoring, prediction, and decision making, as well as natural resources, social systems, computer science, cartography, surveying, geography, and engineering, in both developed and developing countries. Less

Key Metrics

Impact Factor
5 - 10
SJR
Q1Information Systems
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Topics Covered on INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE Journal Specifications

Overview
Publisher TAYLOR & FRANCIS LTD
Language English
Frequency Monthly
General Details
LanguageEnglish
FrequencyMonthly
Publication Start Year1997
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

AVKG: an interlinked cross-domain knowledge graph for smart autonomous vehicle decision making
  • 15 May 2026
  • International Journal of Geographical Information Science
Economic and demographic simulations in urban agglomerations using a human mobility-enhanced cellular automata (HME-CA) model
  • 13 May 2026
  • International Journal of Geographical Information Science
Multi-perspective assessment of greenery visibility from streets, windows, and drones using deep learning and CIM
  • 12 May 2026
  • International Journal of Geographical Information Science
A generative deep learning approach with multi-perspective map representations for simulating land use changes
  • 9 May 2026
  • International Journal of Geographical Information Science
A geographically neural network weighted regression with spatial autoregressive model: model design, estimation, and variable selection
  • 2 May 2026
  • International Journal of Geographical Information Science
USGT: an unsupervised spatial graph transformer for detecting spatial communities in human mobility data
  • 28 Apr 2026
  • International Journal of Geographical Information Science
AVKG: an interlinked cross-domain knowledge graph for smart autonomous vehicle decision making
  • 15 May 2026
  • International Journal of Geographical Information Science
Economic and demographic simulations in urban agglomerations using a human mobility-enhanced cellular automata (HME-CA) model
  • 13 May 2026
  • International Journal of Geographical Information Science
Multi-perspective assessment of greenery visibility from streets, windows, and drones using deep learning and CIM
  • 12 May 2026
  • International Journal of Geographical Information Science
A generative deep learning approach with multi-perspective map representations for simulating land use changes
  • 9 May 2026
  • International Journal of Geographical Information Science
A geographically neural network weighted regression with spatial autoregressive model: model design, estimation, and variable selection
  • 2 May 2026
  • International Journal of Geographical Information Science
USGT: an unsupervised spatial graph transformer for detecting spatial communities in human mobility data
  • 28 Apr 2026
  • International Journal of Geographical Information Science

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