WOS期刊SCI分区是指SCI官方(Web of
Science)为每个学科内的期刊按照IF数值排序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2022-2023年最新版)
GEOSCIENCES, MULTIDISCIPLINARY
Q3
测一测你投这本期刊的成功率
【官方推荐】国内首个期刊投稿预测系统,多维度分析投稿成功率,助你精准决策
12502
人已预测
期刊介绍
Created in 1835 by physicist François Arago, then Permanent Secretary, the journal Comptes Rendus de l'Académie des sciences allows researchers to quickly make their work known to the international scientific community.It is divided into seven titles covering the range of scientific research fields: Mathematics, Mechanics, Chemistry, Biology, Geoscience, Physics and Palevol. Each series is led by an editor-in-chief assisted by an editorial committee. Submitted articles are reviewed by two scientists with recognized competence in the field concerned. They can be notes, announcing significant new results, as well as review articles, allowing for a fine-tuning, or even proceedings of symposia and other thematic issues, under the direction of invited editors, French or foreign.
1835年,物理学家弗朗索瓦·阿拉戈(François Arago)创办了《科学院报告》(Comptes Rendus de l'Académie des sciences)杂志,该杂志允许研究人员迅速向国际科学界公布他们的研究成果。数学、力学、化学、生物学、地球科学、物理学和古语言学。每个系列由一名主编领导,并由一个编辑委员会协助。提交的文章由两名在相关领域具有公认能力的科学家进行审查。它们可以是说明,宣布重要的新成果,也可以是评论文章,允许微调,甚至是专题讨论会和其他主题问题的记录,由特邀编辑指导,法国或外国。
High-pressure generation in the Kawai-type multianvil apparatus equipped with tungsten-carbide anvils and sintered-diamond anvils, and X-ray observation on CaSnO3 and (Mg,Fe)SiO3
来源期刊:Comptes Rendus Geoscience
DOI:10.1016/J.CRTE.2018.07.004
Resistivity saturation in liquid iron–light-element alloys at conditions of planetary cores from first principles computations
来源期刊:Comptes Rendus Geoscience
DOI:10.1016/J.CRTE.2018.05.002
Electrical resistivity of fcc phase iron hydrides at high pressures and temperatures
来源期刊:Comptes Rendus Geoscience
DOI:10.1016/J.CRTE.2018.05.004
Automatic correction and simplification of geological maps and cross-sections for numerical simulations
来源期刊:Comptes Rendus Geoscience
DOI:10.1016/J.CRTE.2018.12.001
Simulation of seismic-prospecting random noise in the desert by a Brownian-motion-based parametric modeling algorithm