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Physical Review Accelerators and Beams
基本信息
期刊名称 | Physical Review Accelerators and Beams PHYS REV ACCEL BEAMS |
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期刊ISSN | 2469-9888 |
期刊官方网站 | https://journals.aps.org/prab/ |
是否OA | Yes |
出版商 | American Physical Society |
出版周期 | |
文章处理费 | 登录后查看 |
始发年份 | |
年文章数 | 139 |
影响因子 | 1.5(2023) scijournal影响因子 greensci影响因子 |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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物理4区 | PHYSICS, NUCLEAR 物理:核物理4区 | 否 | 否 |
PHYSICS, PARTICLES & FIELDS 物理:粒子与场物理4区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 3.9 | 0.756 | 1.255 |
Physics and Astronomy Physics and Astronomy (miscellaneous) |
25/81 | 69% |
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Physics and Astronomy Nuclear and High Energy Physics |
28/87 | 68% |
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Physics and Astronomy Surfaces and Interfaces |
30/57 | 48% |
补充信息
自引率 | 20% |
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H-index | 13 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2469-9888%5BISSN%5D |
投稿指南
期刊投稿网址 | https://authors.aps.org/Submissions/login/new |
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收稿范围 | Physical Review Accelerators and Beams (PRAB) covers the full spectrum of accelerator science, technology, and applications, including subsystems, component technologies, beam dynamics, and the design, operation, and improvement of scientific and industrial accelerators of all types. PRAB covers all topics in accelerator science, applications, and technology, including: Low- and intermediate-energy accelerators Pulsed-power accelerators Synchrotron radiation and free-electron lasers High-energy accelerators and colliders New acceleration techniques Accelerator Facilities and Design Studies Radio frequency calculations and technology Magnet calculations and technology Beam control, diagnostics, and feedback Particle and radiation detectors Targets, collimators, and beam dumps Accelerator materials and surfaces Cryogenics and vacuum technology Particle-beam sources Single-particle dynamics Low-energy, multiple-particle dynamics Relativistic, multiple-particle dynamics Material-beam interaction Computers, machine learning, and algorithms |
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