Big Earth Data

metrics 2024

Shaping Tomorrow's Earth Science with Cutting-Edge Data Analytics

Introduction

Big Earth Data is a prestigious open-access journal that has been at the forefront of advancing research in the intersection of earth science and computer technology since its inception in 2017. Published by TAYLOR & FRANCIS LTD in the United Kingdom, this journal is dedicated to disseminating groundbreaking findings and innovative methodologies in the fields of Earth and Planetary Sciences and Computer Science Applications. With a commendable impact factor and an impressive positioning in the Scopus rankings—claiming Q1 status in Computers in Earth Sciences and Q2 in Computer Science Applications—it serves as a vital resource for researchers, professionals, and students alike. The journal encourages submissions that explore the integration of big data technologies in managing, analyzing, and visualizing earth-related data, thereby fostering interdisciplinary collaboration. Since embracing its open-access model, Big Earth Data has enhanced the accessibility of high-quality research, promoting a broader dialogue in the scientific community and contributing to informed decision-making in global environmental challenges.

Metrics 2024

SCIMAGO Journal Rank0.93
Journal Impact Factor4.20
Journal Impact Factor (5 years)4.70
H-Index25
Journal IF Without Self4.20
Eigen Factor0.00
Normal Eigen Factor0.25
Influence0.99
Immediacy Index1.00
Cited Half Life3.10
Citing Half Life5.70
JCI0.98
Total Documents196
WOS Total Citations750
SCIMAGO Total Citations1558
SCIMAGO SELF Citations64
Scopus Journal Rank0.93
Cites / Document (2 Years)4.20
Cites / Document (3 Years)4.21
Cites / Document (4 Years)4.85

Metrics History

Rank 2024

Scopus

Computers in Earth Sciences in Earth and Planetary Sciences
Rank #13/73
Percentile 82.19
Quartile Q1
Computer Science Applications in Computer Science
Rank #182/817
Percentile 77.72
Quartile Q1

IF (Web Of Science)

COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank 57/249
Percentile 77.30
Quartile Q1
GEOSCIENCES, MULTIDISCIPLINARY
Rank 34/253
Percentile 86.80
Quartile Q1
REMOTE SENSING
Rank 16/62
Percentile 75.00
Quartile Q2

JCI (Web Of Science)

COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank 77/251
Percentile 69.32
Quartile Q2
GEOSCIENCES, MULTIDISCIPLINARY
Rank 52/253
Percentile 79.45
Quartile Q1
REMOTE SENSING
Rank 17/62
Percentile 72.58
Quartile Q2

Quartile History

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