Modelling

metrics 2024

Fostering Collaboration in Computational Research.

Introduction

Modelling is a distinguished open access journal published by MDPI since 2020, dedicated to advancing the field of computational modeling across various scientific disciplines including Computer Science, Engineering, and Mathematics. With its base in Switzerland, the journal aims to foster a collaborative environment for researchers and practitioners while providing a platform for high-quality research on modeling and simulation techniques. As of 2023, it has garnered respectable rankings, achieving Q3 in Computer Science and Mathematics, and Q2 in Engineering, with notable Scopus values indicating an increasing impact within the academic community. Modelling not only publishes innovative research findings but also encourages the dissemination and discussion of emerging methodologies, making it a vital resource for scholars seeking to contribute to and expand the frontiers of knowledge in their respective fields. As an open access journal, it promotes unrestricted access to research outputs, ensuring greater visibility and impact for researchers and students alike.

Metrics 2024

SCIMAGO Journal Rank-
Journal Impact Factor1.30
Journal Impact Factor (5 years)1.40
H-Index-
Journal IF Without Self1.30
Eigen Factor0.00
Normal Eigen Factor0.04
Influence0.24
Immediacy Index0.30
Cited Half Life2.10
Citing Half Life7.80
JCI0.50
Total Documents-
WOS Total Citations132
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)

ENGINEERING, MULTIDISCIPLINARY
Rank 91/179
Percentile 49.40
Quartile Q3

JCI (Web Of Science)

ENGINEERING, MULTIDISCIPLINARY
Rank 76/180
Percentile 57.78
Quartile Q2

Quartile History

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