Spatial Information Research

Aims & Scope

The Spatial Information Research (SIR) mixes academia and industry for Spatial Information Science in a way that no other international journal in this field does.

The journal brings science and practice together.

This is reflected in a SIR article type, which contains a classical scientific part as well as a chapter with easily understandable practical implications for policy makers and practitioners.

It publishes best practice examples (case reports), review as well as theories, methods and data analysis with a link (or a potential link) to spatial information.

The boundary of acceptable subject matter has been intentionally left flexible so that the SIR can follow the research activities, technology applications and future trends to build a bridge between science and practice.

In this regard, the journal is interested in articles having significant social science component (e.g. spatial information law, cadaster, real property, market survey, marketing strategy, urban planning, regional development, public administration, business administration) that address the social drivers or policy processes of spatial information.

The focus of the journal is on all aspects of the application of spatial information science exploring cross-disciplinary exchange of knowledge within and across sectors and disciplines including but not limited to; Geographic Information Systems (GIS), Remote Sensing, Unmanned Aerial Vehicle (UAV), open source geospatial software, cadaster, smart city, Global Positioning Systems (GPS), Internet of Things (IOT), 3D visualization, spatial statistics, cartography, Computer-aided design (CAD), photogrammetry, image processing, Topographic surveys, mobile mapping, Ubiquitous Sensor Network (USN), programming languages, computer graphics.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2
2024	2.00

SJR (SCImago Journal Rank)

Year	Value
2024	0.465

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	30

Journal Rank

Year	Value
2024	12302

Journal Citation Indicator

Year	Value
2024	569

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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, Earth and Planetary Sciences 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.

• The role of artificial neural network and machine learning in utilizing spatial information

  Citation: 161

  Authors: Akash, Amit Kumar, Adesh

• Exploring groundwater potential zones using MIF technique in semi-arid region: a case study of Hingoli district, Maharashtra

  Citation: 119

  Authors: Sumit, Amitesh, Sasanka

• Groundwater potential mapping using analytical hierarchical process: a study on Md. Bazar Block of Birbhum District, West Bengal

  Citation: 118

  Authors: Sunil

• Crop yield prediction in cotton for regional level using random forest approach

  Citation: 117

  Authors: N. R., N R, Abhishek

• Machine learning based aspect level sentiment analysis for Amazon products

  Citation: 81

  Authors: Neha, Rohit, Jyoti

• Evaluation of the saturation property of vegetation indices derived from sentinel-2 in mixed crop-forest ecosystem

  Citation: 74

  Authors: Andualem, Berhan

• Comparative analysis of lineaments extracted from Cartosat, SRTM and ASTER DEM: a study based on four watersheds in Konkan region, India

  Citation: 63

  Authors: Sumit, Sudhakar D.

• Paddy acreage mapping and yield prediction using sentinel-based optical and SAR data in Sahibganj district, Jharkhand (India)

  Citation: 61

  Authors: Avinash Kumar, Bikash Ranjan

• Exploring geospatial changes of wetland in different hydrological paradigms using water presence frequency approach in Barind Tract of West Bengal

  Citation: 58

  Authors: Rajib Tarani, Swades

• Application of RUSLE model for soil loss estimation of Jaipanda watershed, West Bengal

  Citation: 57

  Authors: Subodh Chandra, Manisa

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