NETWORK-COMPUTATION IN NEURAL SYSTEMS

metrics 2024

Advancing Insights in Neural Computation and Network Theory

Introduction

NETWORK-COMPUTATION IN NEURAL SYSTEMS is a distinguished journal published by Taylor & Francis Inc, focusing on the innovative intersection of network theory and neural computation. Since its inception in 1990, this journal has provided a vital platform for researchers and professionals in the field of neuroscience, exploring the dynamics of neural networks and computational models. With its current Q3 category ranking in Neuroscience (miscellaneous) and a robust position in Scopus, the journal plays a critical role in advancing knowledge and discussion within this interdisciplinary area. The journal addresses a wide range of topics related to the computational aspects of neural systems, fostering collaboration and providing valuable insights amongst scholars. Although it is not an open-access publication, its well-curated content remains accessible through institutional subscriptions, ensuring that significant research reaches the hands of those who need it. As it continues to evolve through 2024 and beyond, NETWORK-COMPUTATION IN NEURAL SYSTEMS stands as a key resource for anyone deeply engaged in understanding the complexities and intricacies of neural computations.

Metrics 2024

SCIMAGO Journal Rank0.55
Journal Impact Factor1.10
Journal Impact Factor (5 years)2.30
H-Index62
Journal IF Without Self1.10
Eigen Factor0.00
Normal Eigen Factor0.02
Influence0.40
Immediacy Index0.40
Cited Half Life22.30
Citing Half Life5.40
JCI0.58
Total Documents371
WOS Total Citations713
SCIMAGO Total Citations2186
SCIMAGO SELF Citations113
Scopus Journal Rank0.55
Cites / Document (2 Years)3.93
Cites / Document (3 Years)4.00
Cites / Document (4 Years)2.96

Metrics History

Rank 2024

Scopus

Neuroscience (miscellaneous) in Neuroscience
Rank #23/49
Percentile 53.06
Quartile Q2

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 167/197
Percentile 15.50
Quartile Q4
ENGINEERING, ELECTRICAL & ELECTRONIC
Rank 278/352
Percentile 21.20
Quartile Q4
NEUROSCIENCES
Rank 283/310
Percentile 8.90
Quartile Q4

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 105/198
Percentile 46.97
Quartile Q3
ENGINEERING, ELECTRICAL & ELECTRONIC
Rank 166/354
Percentile 53.11
Quartile Q2
NEUROSCIENCES
Rank 224/310
Percentile 27.74
Quartile Q3

Quartile History

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