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當(dāng)前位置: 首頁 JCRQ1 期刊介紹(非官網(wǎng))
Nature Computational Science

Nature Computational ScienceSCIE

國際簡稱:NAT COMPUT SCI  參考譯名:自然計算科學(xué)

  • CiteScore分區(qū)

    Q1

  • JCR分區(qū)

    Q1

基本信息:
ISSN:2662-8457
是否OA:未開放
是否預(yù)警:否
出版信息:
出版商:Springer Nature
出版語言:English
研究方向:Multiple
評價信息:
影響因子:12
CiteScore指數(shù):11.7
SJR指數(shù):2.8
SNIP指數(shù):2.86
發(fā)文數(shù)據(jù):
Gold OA文章占比:24.88%
研究類文章占比:94.59%
年發(fā)文量:74
英文簡介 期刊介紹 CiteScore數(shù)據(jù) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見問題

英文簡介Nature Computational Science期刊介紹

The main goal of Nature Computational Science is to promote innovative applications of computing technology in various scientific fields, including but not limited to bioinformatics, chemical informatics, geographic informatics, computational physics, cosmology, materials science, and urban science. The content published in the journal covers both fundamental and applied research, including breakthrough algorithms, tools, and frameworks, as well as new insights and solutions to challenging real-world problems discovered through innovative ways of utilizing computing power.

As an online only journal, Nature Computational Science is able to quickly respond to the latest developments in the scientific community, enabling research results to be shared with global readers at the fastest speed possible. At the same time, the journal also provides readers with accurate and timely background information on the latest developments in the field of computational science by publishing comments, viewpoints, and news and opinion articles, promoting communication and discussion in the academic community.

期刊簡介Nature Computational Science期刊介紹

《Nature Computational Science》該刊近一年未被列入預(yù)警期刊名單,目前已被權(quán)威數(shù)據(jù)庫SCIE收錄,得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點:

  • 預(yù)計審稿時間:
  • SCIE
  • 非預(yù)警

Cite Score數(shù)據(jù)(2024年最新版)Nature Computational Science Cite Score數(shù)據(jù)

  • CiteScore:11.7
  • SJR:2.797
  • SNIP:2.856
學(xué)科類別 分區(qū) 排名 百分位
大類:Computer Science 小類:Computer Science (miscellaneous) Q1 7 / 133

95%

大類:Computer Science 小類:Computer Networks and Communications Q1 30 / 395

92%

大類:Computer Science 小類:Computer Science Applications Q1 70 / 817

91%

CiteScore 是由Elsevier(愛思唯爾)推出的另一種評價期刊影響力的文獻計量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫中收集的引文為基礎(chǔ),針對的是前四年發(fā)表的論文的引文。CiteScore的意義在于,它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評價期刊影響力的方法,而不僅僅是通過影響因子(IF)這一單一指標(biāo)來評價。

歷年Cite Score趨勢圖

JCR分區(qū)Nature Computational Science JCR分區(qū)

2023-2024 年最新版
按JIF指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q1 2 / 169

99.1%

學(xué)科:COMPUTER SCIENCE, THEORY & METHODS ESCI Q1 4 / 143

97.6%

學(xué)科:MULTIDISCIPLINARY SCIENCES ESCI Q1 9 / 134

93.7%

按JCI指標(biāo)學(xué)科分區(qū) 收錄子集 分區(qū) 排名 百分位
學(xué)科:COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ESCI Q1 5 / 169

97.34%

學(xué)科:COMPUTER SCIENCE, THEORY & METHODS ESCI Q1 5 / 143

96.85%

學(xué)科:MULTIDISCIPLINARY SCIENCES ESCI Q1 11 / 135

92.22%

JCR分區(qū)的優(yōu)勢在于它可以幫助讀者對學(xué)術(shù)文獻質(zhì)量進行評估。不同學(xué)科的文章引用量可能存在較大的差異,此時單獨依靠影響因子(IF)評價期刊的質(zhì)量可能是存在一定問題的。因此,JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū),這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢圖

本刊中國學(xué)者近年發(fā)表論文

  • 1、Supervised learning of a chemistry functional with damped dispersion

    Author: Liu, Yiwei; Zhang, Cheng; Liu, Zhonghua; Truhlar, Donald G.; Wang, Ying; He, Xiao

    Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 1, pp. 48-58. DOI: 10.1038/s43588-022-00371-5

  • 2、Dimensionality reduction of calcium-imaged neuronal population activity

    Author: Koh, Tze Hui; Bishop, William E.; Kawashima, Takashi; Jeon, Brian B.; Srinivasan, Ranjani; Mu, Yu; Wei, Ziqiang; Kuhlman, Sandra J.; Ahrens, Misha B.; Chase, Steven M.; Yu, Byron M.

    Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 1, pp. 71-85. DOI: 10.1038/s43588-022-00390-2

  • 3、Defect modeling and control in structurally and compositionally complex materials

    Author: Zhang, Xie; Kang, Jun; Wei, Su-Huai

    Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 3, pp. 210-220. DOI: 10.1038/s43588-023-00403-8

  • 4、Moire magnetic exchange interactions in twisted magnets

    Author: Yang, Baishun; Li, Yang; Xiang, Hongjun; Lin, Haiqing; Huang, Bing

    Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 4, pp. 314-+. DOI: 10.1038/s43588-023-00430-5

  • 5、Deep-learning electronic-structure calculation of magnetic superstructures

    Author: Li, He; Tang, Zechen; Gong, Xiaoxun; Zou, Nianlong; Duan, Wenhui; Xu, Yong

    Journal: NATURE COMPUTATIONAL SCIENCE. 2023; Vol. 3, Issue 4, pp. 321-+. DOI: 10.1038/s43588-023-00424-3

投稿常見問題