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Data Science and Engineering

期刊標題檢索 最新評論: good comments,ac in three months (2024-10-07)


期刊名稱:   ISSN:   主題領域:   影響因子範圍: -
索引:   類別:   開放訪問:   排序方式:

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期刊簡介
期刊名稱Data Science and Engineering Data Science and Engineering

(According to the latest JCR data, this journal is not indexed in the JCR.)
LetPub Score
4.1
50 ratings
Rate

Reputation
4.8

Influence
3.0

Speed
7.1

期刊簡稱
ISSN2364-1185
E-ISSN2364-1541
h-indexN.A.
CiteScore
CiteScoreSJRSNIPCiteScore Rank
10.401.8363.246
Subject fieldQuartilesRankPercentile
Category: Computer Science
Subcategory: Computer Science Applications
Q192 / 817
Category: Computer Science
Subcategory: Software
Q149 / 407
Category: Computer Science
Subcategory: Information Systems
Q151 / 394
Category: Computer Science
Subcategory: Artificial Intelligence
Q158 / 350

自引率 (2023-2024)5.90%自引率趨勢
掲載範囲
The journal of Data Science and Engineering (DSE) responds to the remarkable change in the focus of information technology development from CPU-intensive computation to data-intensive computation, where the effective application of data, especially big data, becomes vital. The emerging discipline data science and engineering, an interdisciplinary field integrating theories and methods from computer science, statistics, information science, and other fields, focuses on the foundations and engineering of efficient and effective techniques and systems for data collection and management, for data integration and correlation, for information and knowledge extraction from massive data sets, and for data use in different application domains. Focusing on the theoretical background and advanced engineering approaches, DSE aims to offer a prime forum for researchers, professionals, and industrial practitioners to share their knowledge in this rapidly growing area. It provides in-depth coverage of the latest advances in the closely related fields of data science and data engineering. More specifically, DSE covers four areas: (i) the data itself, i.e., the nature and quality of the data, especially big data; (ii) the principles of information extraction from data, especially big data; (iii) the theory behind data-intensive computing; and (iv) the techniques and systems used to analyze and manage big data. DSE welcomes papers that explore the above subjects. Specific topics include, but are not limited to: (a) the nature and quality of data, (b) the computational complexity of data-intensive computing,(c) new methods for the design and analysis of the algorithms for solving problems with big data input,(d) collection and integration of data collected from internet and sensing devises or sensor networks, (e) representation, modeling, and visualization of  big data,(f)  storage, transmission, and management of big data,(g) methods and algorithms of  data intensive computing, such asmining big data,online analysis processing of big data,big data-based machine learning, big data based decision-making, statistical computation of big data, graph-theoretic computation of big data, linear algebraic computation of big data, and  big data-based optimization. (h) hardware systems and software systems for data-intensive computing, (i) data security, privacy, and trust, and(j) novel applications of big data. 
官方網站https://www.springer.com/41019
在線稿件提交https://www.editorialmanager.com/dsej
開放訪問Yes
出版商Springer Nature
主題領域Engineering
出版國/地區Germany
發行頻率年4回刊行
創刊年0
每年文章數33每年文章數趨勢
黃金OA百分比100.00%
OA Related Info
APC: No
APC waiver:No
Other charges: No
Keywords: data collection、data management、big data、knowledge extraction
Useful LinksAims & ScopeAuthor InstructionsEditorial BoardDouble anonymous peer review
Web of Science 四分位
2023-2024
WOS Quartile: Q1

CategoryEditionJIF QuartileJIF RankingJIF Percentage
COMPUTER SCIENCE, INFORMATION SYSTEMSESCIQ143/249
COMPUTER SCIENCE, THEORY & METHODSESCIQ119/143
索引 (SCI or SCIE)
鏈接到PubMed Central (PMC)https://www.ncbi.nlm.nih.gov/nlmcatalog?term=2364-1185%5BISSN%5D
平均審稿時間 *來自出版商的數據:
來自作者的數據: 12 Weeks
競爭力 *來自作者的數據:
參考鏈接
相關期刊 【Data Science and Engineering】CiteScore趨勢
自引率趨勢 每年文章數趨勢
作者評論
*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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  •  

    Data Science and Engineering Data Science and Engineering
    明年預測:
    穩步上升 無變化 逐步下降  刷新
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  [Data Science and Engineering] 的評論撰寫評論
作者: bb67ao


領域: 信息科學
審稿時間: 3.0 month(s)
結果: 修改後接受


撰寫評論

2024-10-07 21:36:24 評論於
good comments,ac in three months
(0) 讚! | bb67ao

作者: yzj


領域: 计算机科学
審稿時間: 0.0 month(s)
結果: 待定&不明


撰寫評論

2024-06-14 16:01:05 評論於
2024.6 rush for manuscripts, instant rejection
(0) 讚! | yzj

作者: yzj


領域: 计算机科学
審稿時間: 0.0 month(s)
結果: 待定&不明


撰寫評論

2024-05-09 13:11:36 評論於
2024.5.3 Submission
(2) 讚! | yzj

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