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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

GCMCNN: a geographically conditioned multiscale convolutional neural network for downscaling land surface temperature
  • 25 Jun 2026
  • International Journal of Geographical Information Science
A unified LLM-assisted framework for extracting and classifying geographical study areas from article metadata
  • 19 Jun 2026
  • International Journal of Geographical Information Science
Measuring causal strengths from spatial cross-sectional data with geographical cross mapping cardinality
  • 15 Jun 2026
  • International Journal of Geographical Information Science
3D environments require 3D visualisations: the limitations of 2D sketch maps in capturing spatial knowledge
  • 14 Jun 2026
  • International Journal of Geographical Information Science
Pano2Cloud: enhancing street-view based point cloud by a dual-layer deep matching for 3D building façade reconstruction
  • 11 Jun 2026
  • International Journal of Geographical Information Science
Spatial outliers as a pattern determinant for explaining heterogeneity
  • 10 Jun 2026
  • International Journal of Geographical Information Science
GCMCNN: a geographically conditioned multiscale convolutional neural network for downscaling land surface temperature
  • 25 Jun 2026
  • International Journal of Geographical Information Science
A unified LLM-assisted framework for extracting and classifying geographical study areas from article metadata
  • 19 Jun 2026
  • International Journal of Geographical Information Science
Measuring causal strengths from spatial cross-sectional data with geographical cross mapping cardinality
  • 15 Jun 2026
  • International Journal of Geographical Information Science
3D environments require 3D visualisations: the limitations of 2D sketch maps in capturing spatial knowledge
  • 14 Jun 2026
  • International Journal of Geographical Information Science
Pano2Cloud: enhancing street-view based point cloud by a dual-layer deep matching for 3D building façade reconstruction
  • 11 Jun 2026
  • International Journal of Geographical Information Science
Spatial outliers as a pattern determinant for explaining heterogeneity
  • 10 Jun 2026
  • International Journal of Geographical Information Science

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