NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS

metrics 2024

Unveiling New Dimensions in Nonlinear Research

Introduction

NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, published by PERGAMON-ELSEVIER SCIENCE LTD in the United Kingdom, is a premier journal that has been advancing the field of nonlinear analysis since its inception in 1976. This esteemed journal has a commendable impact factor, reflecting its crucial role in disseminating high-quality research in Analysis and Applied Mathematics, having achieved Q1 rankings in both categories for 2023. With an impressive Scopus ranking of #36 out of 193 in Mathematics-Analysis and #194 out of 635 in Mathematics-Applied Mathematics, it provides a platform for groundbreaking studies that push the boundaries of theoretical and applied methodologies. Although it operates through a subscription model, the journal’s comprehensive content serves as an invaluable resource for researchers, professionals, and students alike, contributing to the ongoing dialogue in the field and fostering advancements in technology and science.

Metrics 2024

SCIMAGO Journal Rank1.28
Journal Impact Factor1.30
Journal Impact Factor (5 years)1.60
H-Index136
Journal IF Without Self1.30
Eigen Factor0.01
Normal Eigen Factor2.17
Influence0.98
Immediacy Index0.30
Cited Half Life14.00
Citing Half Life14.90
JCI1.05
Total Documents10381
WOS Total Citations11742
SCIMAGO Total Citations44357
SCIMAGO SELF Citations4266
Scopus Journal Rank1.28
Cites / Document (2 Years)1.46
Cites / Document (3 Years)1.71
Cites / Document (4 Years)1.79

Metrics History

Rank 2024

Scopus

Analysis in Mathematics
Rank #36/193
Percentile 81.35
Quartile Q1
Applied Mathematics in Mathematics
Rank #194/635
Percentile 69.45
Quartile Q2

IF (Web Of Science)

MATHEMATICS
Rank 67/489
Percentile 86.40
Quartile Q1
MATHEMATICS, APPLIED
Rank 124/331
Percentile 62.70
Quartile Q2

JCI (Web Of Science)

MATHEMATICS
Rank 81/489
Percentile 83.44
Quartile Q1
MATHEMATICS, APPLIED
Rank 71/331
Percentile 78.55
Quartile Q1

Quartile History

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