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Mathematical Methods In The Applied SciencesSCIE

国际简称：MATH METHOD APPL SCI 参考译名：应用科学中的数学方法

中科院分区
3区
CiteScore分区
Q1
JCR分区
Q1

基本信息：: ISSN：0170-4214; E-ISSN：1099-1476; 是否OA：未开放; 是否预警：否; TOP期刊：否

出版信息：: 出版地区：ENGLAND; 出版商：John Wiley and Sons Ltd; 出版语言：English; 出版周期：Semimonthly; 出版年份：1979; 研究方向：数学-应用数学

评价信息：: 影响因子：2.1; H-index：49; CiteScore指数：4.9; SJR指数：0.607; SNIP指数：1.076

发文数据：: Gold OA文章占比：6.74%; 研究类文章占比：100.00%; 年发文量：838; 自引率：0.0689...; 开源占比：0.0361; 出版撤稿占比：0; 出版国人文章占比：0.23; OA被引用占比：0.0062...

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英文简介期刊介绍 CiteScore数据中科院SCI分区 JCR分区发文数据常见问题

英文简介Mathematical Methods In The Applied Sciences期刊介绍

Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome.

Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted.

Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.

期刊简介Mathematical Methods In The Applied Sciences期刊介绍

《Mathematical Methods In The Applied Sciences》自1979出版以来，是一本数学优秀杂志。致力于发表原创科学研究结果，并为数学各个领域的原创研究提供一个展示平台，以促进数学领域的的进步。该刊鼓励先进的、清晰的阐述，从广泛的视角提供当前感兴趣的研究主题的新见解，或审查多年来某个重要领域的所有重要发展。该期刊特色在于及时报道数学领域的最新进展和新发现新突破等。该刊近一年未被列入预警期刊名单，目前已被权威数据库SCIE收录，得到了广泛的认可。

该期刊投稿重要关注点：

预计审稿时间：约6.0个月
数学
MATHEMATICS, APPLIED
SCIE
中科院3区
非预警

Cite Score数据（2024年最新版）Mathematical Methods In The Applied Sciences Cite Score数据

CiteScore：4.9
SJR：0.607
SNIP：1.076

学科类别	分区	排名	百分位
大类：Mathematics 小类：General Mathematics	Q1	27 / 399	93%
大类：Mathematics 小类：General Engineering	Q1	74 / 307	76%

CiteScore 是由Elsevier(爱思唯尔)推出的另一种评价期刊影响力的文献计量指标。反映出一家期刊近期发表论文的年篇均引用次数。CiteScore以Scopus数据库中收集的引文为基础，针对的是前四年发表的论文的引文。CiteScore的意义在于，它可以为学术界提供一种新的、更全面、更客观地评价期刊影响力的方法，而不仅仅是通过影响因子(IF)这一单一指标来评价。

历年Cite Score趋势图

中科院SCI分区Mathematical Methods In The Applied Sciences 中科院分区

中科院 2023年12月升级版 综述期刊：否 Top期刊：否

大类学科	分区	小类学科	分区
数学	3区	MATHEMATICS, APPLIED 应用数学	3区

中科院分区表 是以客观数据为基础，运用科学计量学方法对国际、国内学术期刊依据影响力进行等级划分的期刊评价标准。它为我国科研、教育机构的管理人员、科研工作者提供了一份评价国际学术期刊影响力的参考数据，得到了全国各地高校、科研机构的广泛认可。

中科院分区表 将所有期刊按照一定指标划分为1区、2区、3区、4区四个层次，类似于“优、良、及格”等。最开始，这个分区只是为了方便图书管理及图书情报领域的研究和期刊评估。之后中科院分区逐步发展成为了一种评价学术期刊质量的重要工具。

历年中科院分区趋势图

JCR分区Mathematical Methods In The Applied Sciences JCR分区

2023-2024 年最新版

按JIF指标学科分区	收录子集	分区	排名	百分位
学科：MATHEMATICS, APPLIED	SCIE	Q1	53 / 331	84.1%

按JCI指标学科分区	收录子集	分区	排名	百分位
学科：MATHEMATICS, APPLIED	SCIE	Q1	42 / 331	87.46%

JCR分区的优势在于它可以帮助读者对学术文献质量进行评估。不同学科的文章引用量可能存在较大的差异，此时单独依靠影响因子(IF)评价期刊的质量可能是存在一定问题的。因此，JCR将期刊按照学科门类和影响因子分为不同的分区，这样读者可以根据自己的研究领域和需求选择合适的期刊。

历年影响因子趋势图

发文数据

2023-2024 年国家/地区发文量统计

国家/地区数量
CHINA MAINLAND803
Turkey230
Saudi Arabia177
India170
Russia139
Iran131
USA127
Spain125
Pakistan103
Italy94

本刊中国学者近年发表论文

1、Discrete generalized fractional operators defined using h-discrete Mittag-Leffler kernels and applications to AB fractional difference systems
Author: Mohammed, Pshtiwan Othman; Abdeljawad, Thabet

Journal: MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 2023; Vol. 46, Issue 7, pp. 7688-7713. DOI: 10.1002/mma.7083
2、Fractional order mathematical modeling of novel corona virus (COVID-19)
Author: Ahmad, Wasim; Sarwar, Muhammad; Shah, Kamal; Ahmadian, Ali; Salahshour, Soheil

Journal: MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 2023; Vol. 46, Issue 7, pp. 7847-7860. DOI: 10.1002/mma.7241
3、He's variational method for the time-space fractional nonlinear Drinfeld-Sokolov-Wilson system
Author: Wang, Kang-Jia; Wang, Guo-Dong

Journal: MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 2023; Vol. 46, Issue 7, pp. 7798-7806. DOI: 10.1002/mma.7200
4、Fractional synchronization involving fractional derivatives with nonsingular kernels: Application to chaotic systems
Author: Coronel-Escamilla, A.; Gomez-Aguilar, J. F.; Torres-Jimenez, J.; Mousa, A. A.; Elagan, S. K.

Journal: MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 2023; Vol. 46, Issue 7, pp. 7987-8003. DOI: 10.1002/mma.7315
5、A new method for solving variable coefficients fractional differential equations based on a hybrid of Bernoulli polynomials and block pulse functions
Author: Zhang, Bo; Tang, Yinggan; Zhang, Xuguang

Journal: MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 2023; Vol. 46, Issue 7, pp. 8054-8073. DOI: 10.1002/mma.7352
6、Existence and stability for a nonlinear hybrid differential equation of fractional order via regular Mittag-Leffler kernel
Author: Slimane, Ibrahim; Dahmani, Zoubir; Nieto, Juan J.; Abdeljawad, Thabet

Journal: MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 2023; Vol. 46, Issue 7, pp. 8043-8053. DOI: 10.1002/mma.7349
7、Analysis of fractional COVID-19 epidemic model under Caputo operator
Author: Zarin, Rahat; Khan, Amir; Yusuf, Abdullahi; Abdel-Khalek, Sayed; Inc, Mustafa

Journal: MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 2023; Vol. 46, Issue 7, pp. 7944-7964. DOI: 10.1002/mma.7294
8、Artificial neural networking (ANN) analysis for heat and entropy generation in flow of non-Newtonian fluid between two rotating disks
Author: Zhao, Tie-Hong; Khan, M. Ijaz; Chu, Yu-Ming

Journal: MATHEMATICAL METHODS IN THE APPLIED SCIENCES. 2023; Vol. 46, Issue 3, pp. 3012-3030. DOI: 10.1002/mma.7310