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EPJ Data Science

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期刊名稱:   ISSN:   主題領域:   影響因子範圍: -
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期刊簡介
期刊名稱EPJ Data Science EPJ Data Science
LetPub Score
5.8
50 ratings
Rate

Reputation
6.9

Influence
4.8

Speed
6.9

期刊簡稱EPJ DATA SCI
ISSN2193-1127
h-index21
CiteScore
CiteScoreSJRSNIPCiteScore Rank
6.100.8291.355
Subject fieldQuartilesRankPercentile
Category: Mathematics
Subcategory: Computational Mathematics
Q126 / 189
Category: Mathematics
Subcategory: Modeling and Simulation
Q152 / 324
Category: Mathematics
Subcategory: Computer Science Applications
Q2244 / 817

自引率 (2023-2024)6.70%自引率趨勢
掲載範囲
EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.
官方網站https://www.springer.com/journal/13688
在線稿件提交https://www.editorialmanager.com/EPDS
開放訪問Yes
出版商Springer Berlin Heidelberg
主題領域MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 
出版國/地區GERMANY
發行頻率
創刊年2012
每年文章數59每年文章數趨勢
黃金OA百分比100.00%
OA Related Info
APC: Yes( GBP1240; USD1790; EUR1490; )
APC waiver:Check Notes
Other charges: No
Keywords: data analysis、data mining、data enrichment
Useful LinksAims & ScopeAuthor InstructionsEditorial BoardAnonymous peer review
Web of Science 四分位
2023-2024
WOS Quartile: Q1

CategoryEditionJIF QuartileJIF RankingJIF Percentage
MATHEMATICS, INTERDISCIPLINARY APPLICATIONSSCIEQ122/135
SOCIAL SCIENCES, MATHEMATICAL METHODSSSCIQ19/67
索引 (SCI or SCIE)Science Citation Index Expanded
Social Science Citation Index
鏈接到PubMed Central (PMC)https://www.ncbi.nlm.nih.gov/nlmcatalog?term=2193-1127%5BISSN%5D
平均審稿時間 *來自出版商的數據:
來自作者的數據: 13 Weeks
競爭力 *來自作者的數據:
參考鏈接
相關期刊 【EPJ Data Science】CiteScore趨勢
自引率趨勢 每年文章數趨勢
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*所有的審稿過程指標,如接受率和審稿速度,僅限於用戶提交的稿件。因此,這些指標可能無法準確反映期刊的競爭力或速度。
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    EPJ Data Science EPJ Data Science
    明年預測:
    穩步上升 無變化 逐步下降  刷新
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