Data-Centric Engineering

metrics 2024

Connecting Data Science and Engineering for a Smarter Future

Introduction

Data-Centric Engineering is a leading open-access journal published by Cambidge University Press, focused on advancing research at the intersection of data science and engineering. Since its inception in 2020, this journal has provided a robust platform for disseminating innovative methodologies and applications that leverage data-centric approaches across various engineering disciplines. With an impressive categorization in Q1 and Q2 quartiles in Engineering, Applied Mathematics, Computer Science Applications, and Statistics and Probability, the journal stands out in the academic landscape, boasting notable rankings in the Scopus database. The essential objective of Data-Centric Engineering is to facilitate collaboration among researchers, practitioners, and educators by providing a unique forum for high-quality research articles, reviews, and case studies that illuminate the transformative role of data in engineering these days. With its strategic aim to publish impactful research until 2024, it is an invaluable resource for those seeking to contribute to and stay informed about the latest developments in this rapidly evolving field.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor2.40
Journal Impact Factor (5 years)3.00
H-Index-
Journal IF Without Self2.40
Eigen Factor0.00
Normal Eigen Factor0.09
Influence0.73
Immediacy Index0.30
Cited Half Life2.70
Citing Half Life7.10
JCI0.64
Total Documents-
WOS Total Citations216
SCIMAGO Total Citations-
SCIMAGO SELF Citations-
Scopus Journal Rank-
Cites / Document (2 Years)-
Cites / Document (3 Years)-
Cites / Document (4 Years)-

Metrics History

Rank 2024

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 111/197
Percentile 43.90
Quartile Q3
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank 91/169
Percentile 46.40
Quartile Q3
ENGINEERING, MULTIDISCIPLINARY
Rank 46/179
Percentile 74.60
Quartile Q2

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 93/198
Percentile 53.03
Quartile Q2
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank 85/169
Percentile 49.70
Quartile Q3
ENGINEERING, MULTIDISCIPLINARY
Rank 56/180
Percentile 68.89
Quartile Q2

Quartile History

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