Spatial Cognition and Computation

metrics 2024

Fostering Collaboration in Spatial Research Frontiers

Introduction

Spatial Cognition and Computation is a premier academic journal published by TAYLOR & FRANCIS INC, focusing on the interdisciplinary fields of spatial cognition and computational analysis. With its ISSN 1387-5868 and E-ISSN 1542-7633, the journal has established itself as an authoritative source of innovative research since its inception in 2000. It is esteemed in various categories, receiving Q2 rankings in Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, and Earth-Surface Processes, showcasing its impact in these dynamic fields. Additionally, it ranks in the Q3 tier for Experimental and Cognitive Psychology. The journal serves as a crucial platform for researchers, professionals, and students to explore cutting-edge developments and foster collaboration across disciplines. Although it is not currently an open-access journal, readers can access articles through library subscriptions or individual purchases, ensuring that its impactful research is widely disseminated in the academic community.

Metrics 2024

SCIMAGO Journal Rank0.53
Journal Impact Factor1.60
Journal Impact Factor (5 years)1.60
H-Index42
Journal IF Without Self1.60
Eigen Factor0.00
Normal Eigen Factor0.06
Influence0.47
Immediacy Index0.30
Cited Half Life9.60
Citing Half Life14.00
JCI0.50
Total Documents298
WOS Total Citations473
SCIMAGO Total Citations1379
SCIMAGO SELF Citations55
Scopus Journal Rank0.53
Cites / Document (2 Years)2.04
Cites / Document (3 Years)2.50
Cites / Document (4 Years)2.41

Metrics History

Rank 2024

Scopus

Earth-Surface Processes in Earth and Planetary Sciences
Rank #52/179
Percentile 70.95
Quartile Q2
Modeling and Simulation in Mathematics
Rank #94/324
Percentile 70.99
Quartile Q2
Experimental and Cognitive Psychology in Psychology
Rank #54/165
Percentile 67.27
Quartile Q2
Computer Graphics and Computer-Aided Design in Computer Science
Rank #36/106
Percentile 66.04
Quartile Q2
Computer Vision and Pattern Recognition in Computer Science
Rank #47/106
Percentile 55.66
Quartile Q2

IF (Web Of Science)

PSYCHOLOGY, EXPERIMENTAL
Rank 66/99
Percentile 33.80
Quartile Q3

JCI (Web Of Science)

PSYCHOLOGY, EXPERIMENTAL
Rank 81/99
Percentile 18.18
Quartile Q4

Quartile History

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