GeoInformatica

Aims & Scope

GeoInformatica is located at the confluence of two rapidly advancing domains: Computer Science and Geographic Information Science; nowadays, Earth studies use more and more sophisticated computing theory and tools, and computer processing of Earth observations through Geographic Information Systems (GIS) attracts a great deal of attention from governmental, industrial and research worlds.

This journal aims to promote the most innovative results coming from the research in the field of computer science applied to geographic information systems.

Thus, GeoInformatica provides an effective forum for disseminating original and fundamental research and experience in the rapidly advancing area of the use of computer science for spatial studies.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.6
2024	2.20

SJR (SCImago Journal Rank)

Year	Value
2024	0.467

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	64

Journal Rank

Year	Value
2024	12266

Journal Citation Indicator

Year	Value
2024	236

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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 Computer 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.

• A Framework for Generating Network-Based Moving Objects

  Citation: 685

  Authors: Thomas

• Recommendations in location-based social networks: a survey

  Citation: 438

  Authors: Jie, Yu, David, Mohamed

• Qualitative Spatial Representation and Reasoning with the Region Connection Calculus

  Citation: 351

  Authors: Anthony G., Brandon, John, Nicholas Mark

• Spatio-Temporal Data Types: An Approach to Modeling and Querying Moving Objects in Databases

  Citation: 227

  Authors: Martin, Ralf Hartmut, Markus, Michalis

• Building, composing and experimenting complex spatial models with the GAMA platform

  Citation: 216

  Authors: Patrick, Benoit, Arnaud, Quang-Nghi, Nicolas, Philippe, Damien, Alexis

• openModeller: a generic approach to species’ potential distribution modelling

  Citation: 204

  Authors: Mauro Enrique, Renato, Marinez Ferreira, Tim, Peter, Ricardo Scachetti, Dora Ann Lange, Vanderlei Perez

• A Structural Approach to the Model Generalization of an Urban Street Network*

  Citation: 191

  Authors: B., C.

• Spatial cloaking for anonymous location-based services in mobile peer-to-peer environments

  Citation: 168

  Authors: Chi-Yin, Mohamed F., Xuan

• A Unified Approach to Detecting Spatial Outliers

  Citation: 151

  Authors: Shashi, Chang-Tien, Pusheng

• A Spatial Access-Oriented Implementation of a 3-D GIS Topological Data Model for Urban Entities

  Citation: 149

  Authors: Jiyeong

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