Plasma Physics and Controlled Fusion

SCI期刊
Plasma Physics and Controlled Fusion
中文名称:
等离子体物理和受控聚变
期刊缩写:
Plasma Phys. Controlled Fusion
影响因子:
2.1
ISSN:
print: 0741-3335
on-line: 1361-6587
研究领域:
物理-物理:核物理
h-index:
100
自引率:
13.60%
Gold OA文章占比:
28.30%
原创研究文献占比:
99.61%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
Plasma Physics and Controlled Fusion covers all aspects of the physics of hot, highly ionised plasmas. This includes results of current experimental and theoretical research on all aspects of the physics of high-temperature plasmas and of controlled nuclear fusion, including the basic phenomena in highly-ionised gases in the laboratory, in the ionosphere and in space, in magnetic-confinement and inertial-confinement fusion as well as related diagnostic methods. Papers with a technological emphasis, for example in such topics as plasma control, fusion technology and diagnostics, are welcomed when the plasma physics is an integral part of the paper or when the technology is unique to plasma applications or new to the field of plasma physics. Papers on dusty plasma physics are welcome when there is a clear relevance to fusion.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
4.50.9771.031
学科
排名
百分位
大类:Energy
小类:Nuclear Energy and Engineering
16 / 77
79%
大类:Physics and Astronomy
小类:Condensed Matter Physics
161 / 434
63%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
2区 物理与天体物理
2区 物理:流体与等离子体 PHYSICS, FLUIDS & PLASMAS
WOS期刊分区
学科分类
Q2PHYSICS, FLUIDS & PLASMAS
历年影响因子
2015年2.4040
2016年2.3920
2017年3.0320
2018年2.7990
2019年2.8290
2020年2.4580
2021年2.5320
2022年2.2000
2023年2.1000
历年发表
2012年267
2013年247
2014年271
2015年222
2016年316
2017年287
2018年316
2019年344
2020年295
2021年341
2022年224
投稿信息
出版周期:
Monthly
出版语言:
Multi-Language
出版国家(地区):
ENGLAND
接受率:
100%
审稿时长:
4.5 months
出版商:
IOP Publishing Ltd.
编辑部地址:
IOP PUBLISHING LTD, DIRAC HOUSE, TEMPLE BACK, BRISTOL, ENGLAND, BS1 6BE

Plasma Physics and Controlled Fusion - 最新文献

Sheath constraints on turbulent magnetised plasmas

Pub Date : 2024-09-12 DOI: 10.1088/1361-6587/ad705a A Geraldini, S Brunner and F I Parra

Identifying L-H transition in HL-2A through deep learning

Pub Date : 2024-09-10 DOI: 10.1088/1361-6587/ad75b7 Meihuizi He, Zongyu Yang, Songfen Liu, Fan Xia and Wulyu Zhong

Vertical instability forecasting and controllability assessment of multi-device tokamak plasmas in DECAF with data-driven optimization

Pub Date : 2024-09-10 DOI: 10.1088/1361-6587/ad7531 M Tobin, S A Sabbagh, V Zamkovska, J D Riquezes, J Butt, G Cunningham, L Kogan, J Measures, S Blackmore, C Ham, J Harrison, J W Berkery, S Gerhardt, J G Bak, J Lee, S W Yoon and the MAST Upgrade Team
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