Machine Learning and Knowledge Extraction

metrics 2024

Unlocking Knowledge Through Innovative Research

Introduction

Machine Learning and Knowledge Extraction, published by MDPI, is an esteemed Open Access journal that has been at the forefront of disseminating cutting-edge research since its inception in 2019. Based in Switzerland, this journal has established itself as a significant contributor to the fields of Artificial Intelligence and Engineering, currently ranking in the Q2 category in Artificial Intelligence and Q1 in Engineering (miscellaneous) for 2023. With a notable Scopus ranking, it holds the 35th position out of 204 in Engineering, placing it in the 83rd percentile, while it ranks 127th out of 350 in Computer Science, reaching the 63rd percentile. Machine Learning and Knowledge Extraction serves as a vital platform for researchers, professionals, and students alike, promoting insightful discussions, innovative methodologies, and profound discoveries in machine learning and data extraction techniques. The journal's open access model ensures that groundbreaking research is widely accessible, fostering collaboration and advancing knowledge across various disciplines.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor4.00
Journal Impact Factor (5 years)4.00
H-Index-
Journal IF Without Self4.00
Eigen Factor0.00
Normal Eigen Factor0.30
Influence0.81
Immediacy Index0.70
Cited Half Life2.80
Citing Half Life4.50
JCI0.72
Total Documents-
WOS Total Citations871
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 64/197
Percentile 67.80
Quartile Q2
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank 45/169
Percentile 73.70
Quartile Q2
ENGINEERING, ELECTRICAL & ELECTRONIC
Rank 100/352
Percentile 71.70
Quartile Q2

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 81/198
Percentile 59.09
Quartile Q2
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rank 72/169
Percentile 57.40
Quartile Q2
ENGINEERING, ELECTRICAL & ELECTRONIC
Rank 140/354
Percentile 60.45
Quartile Q2

Quartile History

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