International Journal of Geographical Information Science

Aims & Scope

International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience).

It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making.

Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.

View Aims & Scope

---

Metrics & Ranking

Impact Factor

Year	Value
2025	5.1

SJR (SCImago Journal Rank)

Year	Value
2024	1.502

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	141

Journal Rank

Year	Value
2024	2379

Journal Citation Indicator

Year	Value
2024	2018

---

---

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

---

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.

---

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.

• Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China

  Citation: 2218

  Authors: Jin‐Feng, Xin‐Hu, George, Yi‐Lan, Tin, Xue, Xiao‐Ying

• GIS‐based multicriteria decision analysis: a survey of the literature

  Citation: 1537

  Authors: Jacek

• Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices

  Citation: 1148

  Authors: Bo, Bo, Michael

• The GARP modelling system: problems and solutions to automated spatial prediction

  Citation: 1031

  Authors: DAVID

• Loose-coupling a cellular automaton model and GIS: long-term urban growth prediction for San Francisco and Washington/Baltimore

  Citation: 807

  Authors: KEITH C., LEONARD J.

• Neural-network-based cellular automata for simulating multiple land use changes using GIS

  Citation: 701

  Authors: Xia, Anthony Gar-On

• ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data

  Citation: 674

  Authors: Lucian, Dirk, Shaun R.

• An evaluation of void‐filling interpolation methods for SRTM data

  Citation: 673

  Authors: H. I., A., A.

• Application of fuzzy measures in multi-criteria evaluation in GIS

  Citation: 510

  Authors: Hong, J. Ronald

• Mapping urban air pollution using GIS: a regression-based approach

  Citation: 506

  Authors: DAVID J., SUSAN, PAUL, PAUL, SIMON, ERIK, KAREL, HANS, KIRSTY, ANDRE

---