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IMA JOURNAL OF NUMERICAL ANALYSIS

期刊標題檢索 IMA J NUMER ANA 最新評論: Dear friends, do submissions to this journal now require a plagiarism ... (2023-12-08)


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:

[IMA JOURNAL OF NUMERICAL ANALYSIS]您好,您是該頁面的第 35840 位訪客。

期刊簡介
期刊名稱IMA JOURNAL OF NUMERICAL ANALYSIS IMA JOURNAL OF NUMERICAL ANALYSIS
LetPub Score
7.2
50 ratings
Rate

Reputation
8.8

Influence
5.9

Speed
7.1

期刊簡稱IMA J NUMER ANAL
ISSN0272-4979
E-ISSN1464-3642
h-index54
CiteScore
CiteScoreSJRSNIPCiteScore Rank
5.301.8611.758
Subject fieldQuartilesRankPercentile
Category: Mathematics
Subcategory: General Mathematics
Q125 / 399
Category: Mathematics
Subcategory: Applied Mathematics
Q188 / 635
Category: Mathematics
Subcategory: Computational Mathematics
Q138 / 189

自引率 (2023-2024)4.30%自引率趨勢
掲載範囲
The IMA Journal of Numerical Analysis (IMAJNA) publishes original contributions to all fields of numerical analysis; articles will be accepted which treat the theory, development or use of practical algorithms and interactions between these aspects. Occasional survey articles are also published.
官方網站https://academic.oup.com/imajna
在線稿件提交https://mc.manuscriptcentral.com/imajna
開放訪問No
出版商Oxford University Press
主題領域数学
出版國/地區ENGLAND
發行頻率四半期刊行
創刊年0
每年文章數110每年文章數趨勢
黃金OA百分比9.02%
Web of Science 四分位
2023-2024
WOS Quartile: Q1

CategoryEditionJIF QuartileJIF RankingJIF Percentage
MATHEMATICS, APPLIEDSCIEQ141/331
索引 (SCI or SCIE)Science Citation Index
Science Citation Index Expanded
鏈接到PubMed Central (PMC)https://www.ncbi.nlm.nih.gov/nlmcatalog?term=0272-4979%5BISSN%5D
平均審稿時間 *來自出版商的數據:
來自作者的數據: Slow, 6-12 Week(s)
競爭力 *來自作者的數據: Easy
參考鏈接
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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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    CiteScore: 16.90
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    IMA JOURNAL OF NUMERICAL ANALYSIS IMA JOURNAL OF NUMERICAL ANALYSIS
    明年預測:
    穩步上升 無變化 逐步下降  刷新
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  [IMA JOURNAL OF NUMERICAL ANALYSIS] 的評論撰寫評論
作者: 正版余则成


領域: 数学
審稿時間: 0.0 month(s)
結果: 待定&不明


撰寫評論

2023-12-08 13:03:10 評論於
Dear friends, do submissions to this journal now require a plagiarism check? If so, what is the acceptable similarity rate? Thank you~
(0) 讚! | 正版余则成

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