Advances in Data Science and Adaptive Analysis

metrics 2024

Discovering New Frontiers in Data Science Research.

Introduction

Advances in Data Science and Adaptive Analysis is a prestigious journal dedicated to the advancement of knowledge within the rapidly evolving fields of data science and adaptive analysis. Published by WORLD SCIENTIFIC PUBL CO PTE LTD, this journal aims to serve as a platform for researchers, professionals, and students to disseminate innovative findings and methodologies. With a focus on interdisciplinary approaches, it invites contributions that explore the application of adaptive techniques in tackling complex data-driven challenges. Situated in Singapore, the journal stands out for its commitment to high-quality research, making significant impacts in the academic community and beyond. Although the journal currently does not offer open access, it remains a crucial resource for those striving to push the boundaries of data science research and its practical applications.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor0.50
Journal Impact Factor (5 years)0.60
H-Index-
Journal IF Without Self0.50
Eigen Factor0.00
Normal Eigen Factor0.01
Influence0.12
Immediacy Index0.10
Cited Half Life14.20
Citing Half Life-
JCI0.18
Total Documents-
WOS Total Citations1124
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)

MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Rank 118/135
Percentile 13.00
Quartile Q4

JCI (Web Of Science)

MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Rank 120/135
Percentile 11.11
Quartile Q4

Quartile History

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