Aims & Scope

Random Matrix Theory (RMT) has a long and rich history and has, especially in recent years, shown to have important applications in many diverse areas of mathematics, science, and engineering.

The scope of RMT and its applications include the areas of classical analysis, probability theory, statistical analysis of big data, as well as connections to graph theory, number theory, representation theory, and many areas of mathematical physics.

Applications of Random Matrix Theory continue to present themselves and new applications are welcome in this journal.

Some examples are orthogonal polynomial theory, free probability, integrable systems, growth models, wireless communications, signal processing, numerical computing, complex networks, economics, statistical mechanics, and quantum theory.

Special issues devoted to single topic of current interest will also be considered and published in this journal.

View Aims & Scope

Metrics & Ranking

Impact Factor

Year Value
2025 0.6
2024 0.90

SJR (SCImago Journal Rank)

Year Value
2024 0.511

Quartile

Year Value
2024 Q2

h-index

Year Value
2024 22

Journal Rank

Year Value
2024 11390

Journal Citation Indicator

Year Value
2024 79

Impact Factor Trend


Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.


Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Decision Sciences and Mathematics, designed to support cutting-edge academic discovery.


Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.


Quick Facts

Current Factor
0.6
First Published: 2025

SJR (SCImago Journal Rank)

SJR
0.511
First Published: 2024

Quartile

Current Quartile
Q2
First Published: 2024

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