《Journal Of Cardiovascular Magnetic Resonance》重点专注发布医学-核医学领域的新研究，旨在促进和传播该领域相关的新技术和新知识。鼓励该领域研究者详细地发表他们的高质量实验研究和理论结果。根据网友分享的投稿经验，平均审稿速度为 较慢,6-12周 。该杂志创刊至今，在医学-核医学领域，影响力非凡，对来稿文章质量要求很高，稿件投稿过审难度很大，刊登文章的学术水平和编辑质量在同类杂志中均名列前茅。如果你想在该杂志上发表论文，你可以向编辑部提交文章，但文章必须具有重要意义并代表该领域专业的发展。我们欢迎广大同领域的研究者提交投稿。
| CiteScore | SJR | SNIP | CiteScore排名 | |||
|---|---|---|---|---|---|---|
| 10.9 | 2.242 | 2.019 | 学科类别 | 分区 | 排名 | 百分位 |
|
大类：大类：Medicine
小类：小类：FamilyPractice
|
Q1 | 2/56 | 97% | |||
|
大类：大类：Medicine
小类：小类：Radiology,NuclearMedicineandImaging
|
Q1 | 21/333 | 93% | |||
|
大类：大类：Medicine
小类：小类：CardiologyandCardiovascularMedicine
|
Q1 | 31/387 | 92% | |||
|
大类：大类：Medicine
小类：小类：RadiologicalandUltrasoundTechnology
|
Q1 | 6/63 | 91% | |||
| 按JIF指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
|---|---|---|---|---|
| 学科：CARDIAC & CARDIOVASCULAR SYSTEMS | SCIE | Q1 | 46 / 220 | 79.3% |
| 学科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | SCIE | Q1 | 29 / 204 | 86% |
| 按JCI指标学科分区 | 收录子集 | 分区 | 排名 | 百分位 |
|---|---|---|---|---|
| 学科：CARDIAC & CARDIOVASCULAR SYSTEMS | SCIE | Q1 | 32 / 220 | 85.68% |
| 学科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | SCIE | Q1 | 18 / 204 | 91.42% |
文章名称
引用次数
Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
76
Aortic flow patterns and wall shear stress maps by 4D-flow cardiovascular magnetic resonance in the assessment of aortic dilatation in bicuspid aortic valve disease
27
Machine learning in cardiovascular magnetic resonance: basic concepts and applications
18
Society for Cardiovascular Magnetic Resonance (SCMR) expert consensus for CMR imaging endpoints in clinical research: part I - analytical validation and clinical qualification
16
Diagnostic and prognostic utility of cardiovascular magnetic resonance imaging in heart failure with preserved ejection fraction - implications for clinical trials
15
Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study
15
Automated analysis of cardiovascular magnetic resonance myocardial native T-1 mapping images using fully convolutional neural networks
15
Associations and prognostic significance of diffuse myocardial fibrosis by cardiovascular magnetic resonance in heart failure with preserved ejection fraction
14
A comparison of both DENSE and feature tracking techniques with tagging for the cardiovascular magnetic resonance assessment of myocardial strain
14
Quantitative cardiovascular magnetic resonance perfusion imaging identifies reduced flow reserve in microvascular coronary artery disease
13
国家/地区
发文量
TUSA
117
TEngland
66
TGERMANY (FED REP GER)
57
TCHINA MAINLAND
26
TCanada
25
TSwitzerland
24
TNetherlands
22
TAustralia
14
TItaly
13
TSweden
12
