<1
2026
影响因子区间
364天
平台估算
31%
2025
中国作者发文占比
—
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期刊简介: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.
【译文】随机矩阵理论(RMT)有着悠久而丰富的历史,尤其是在近年来,它在数学、科学和工程学的许多不同领域显示出重要的应用。RMT及其应用的范围包括经典分析、概率论、大数据统计分析,以及与图论、数论、表示论和许多数学物理领域的联系。随机矩阵理论的应用仍在不断出现,本期刊欢迎新的应用。一些例子包括正交多项式理论、自由概率、可积系统、增长模型、无线通信、信号处理、数值计算、复杂网络、经济学、统计力学和量子理论。本期刊也将考虑并出版专注于当前热点主题的单个专题特刊。

| 指标 | 当前值 | 近三年趋势 |
|---|---|---|
| JCR分区 | Q3 | 暂无 |
| 中科院分区 | 4区 | 暂无 |
| 影响因子区间 | <1 | 暂无 |