Last Updated on June 22, 2022

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery- Impact Score, Ranking, SJR, h-index, Citescore, Rating, Publisher, ISSN, and Other Important Details


Published By: John Wiley & Sons Inc.

Abbreviation: Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.




Impact Score

The impact Score or journal impact score (JIS) is equivalent to Impact Factor. The impact factor (IF) or journal impact factor (JIF) of an academic journal is a scientometric index calculated by Clarivate that reflects the yearly mean number of citations of articles published in the last two years in a given journal, as indexed by Clarivate's Web of Science. On the other hand, Impact Score is based on Scopus data.

10.38

SJR

 2.901

h-Index

 53

Rank

 625

Important Details

Title Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Standard Abbreviation Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.
Type of Publication Journal
Discipline Computer Science (miscellaneous) (Q1)
Impact Score 10.38
SCImago Journal Rank (SJR) 2.901
h-index 53
Overall Rank 625
Publisher Name John Wiley & Sons Inc.
Publication Country United States
International Standard Serial Number (ISSN) 19424795, 19424787
Coverage and History 2011-2021
Best Quartile Q1
Total Citations Received
(Last 3 Year)
1893

About Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery


Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a journal published by John Wiley & Sons Inc.. This journal covers the area[s] related to Computer Science (miscellaneous), etc. The coverage history of this journal is as follows: 2011-2021. The rank of this journal is 625. This journal's impact score, h-index, and SJR are 10.38, 53, and 2.901, respectively. The ISSN of this journal is/are as follows: 19424795, 19424787.

The best quartile of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is Q1. This journal has received a total of 1893 citations during the last three years (Preceding 2021).


Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Impact Score 2021-2022


The latest impact score (IS) of the Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 10.38. It is computed in the year 2022 as per its definition and based on Scopus data.

It is decreased by a factor of around 2.44, and the percentage change is -19.03% compared to the preceding year 2020, indicating a falling trend.

The impact score (IS), also denoted as the Journal impact score (JIS), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. It is based on Scopus data.

Table Setting

Prediction of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Impact Score 2022


Impact Score 2021 of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 10.38. If a similar downward trend continues, IS may decrease in 2022 as well.


Impact Score Graph


Check below the Impact Score trends of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. This is based on Scopus data.


Year Impact Score (IS)
2022/2023 Coming Soon
2021 10.38
2020 12.82
2019 10.65
2018 5.72
2017 3.88
2016 3.60
2015 3.28
2014 3.47

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery h-index


  Table Setting

The h-index of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 53. By definition of the h-index, this journal has at least 53 published articles with more than 53 citations.

What is h-index?

The h-index (also known as the Hirsch index or Hirsh index) is a scientometric parameter used to evaluate the scientific impact of the publications and journals. It is defined as the maximum value of h such that the given Journal has published at least h papers and each has at least h citations.




Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery ISSN


The International Standard Serial Number (ISSN) of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is/are as follows: 19424795, 19424787.

The ISSN is a unique 8-digit identifier for a specific publication like Magazine or Journal. The ISSN is used in the postal system and in the publishing world to identify the articles that are published in journals, magazines, newsletters, etc. This is the number assigned to your article by the publisher, and it is the one you will use to reference your article within the library catalogues.

ISSN code (also called as "ISSN structure" or "ISSN syntax") can be expressed as follows: NNNN-NNNC
Here, N is in the set {0,1,2,3...,9}, a digit character, and C is in {0,1,2,3,...,9,X}

Table Setting

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Ranking and SCImago Journal Rank (SJR)


The Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is ranked 625 among 27339 Journals, Conferences, and Book Series. As per SJR, this journal is ranked 2.901.

SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come.


Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Publisher


Table Setting

The publisher of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is John Wiley & Sons Inc.. The publishing house of this journal is located in the United States. Its coverage history is as follows: 2011-2021.


Call For Papers (CFPs)


Please check the official website of this journal to find out the complete details and Call For Papers (CFPs).


Abbreviation


The International Organization for Standardization 4 (ISO 4) abbreviation of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.. ISO 4 is an international standard which defines a uniform and consistent system for the abbreviation of serial publication titles, which are published regularly. The primary use of ISO 4 is to abbreviate or shorten the names of scientific journals using the technique of List of Title Word Abbreviations (LTWA).

As ISO 4 is an international standard, the abbreviation ('Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.') can be used for citing, indexing, abstraction, and referencing purposes.


How to publish in Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery


If your area of research or discipline is related to Computer Science (miscellaneous), etc., please check the journal's official website to understand the complete publication process.


Acceptance Rate


There are several factors that influence the acceptance rate of any academic journal. Here are some critical parameters that are considered while calculating the acceptance rate:

  • Interest/demand of researchers/scientists for publishing in a specific journal/conference.
  • The complexity of the peer review process and timeline.
  • Time taken from draft submission to final publication.
  • Number of submissions received and acceptance slots
  • And Many More.

The simplest way to find out the acceptance rate or rejection rate of a Journal/Conference is to check with the journal's/conference's editorial team through emails or through the official website.



Frequently Asked Questions (FAQ)


What is the impact score of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

The latest impact score of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 10.38. It is computed in the year 2022.


What is the h-index of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

The latest h-index of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 53. It is evaluated in the year 2022.


What is the SCImago Journal Rank (SJR) of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

The latest SCImago Journal Rank (SJR) of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 2.901. It is calculated in the year 2022.


What is the ranking of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

The latest ranking of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 625. This ranking is among 27339 Journals, Conferences, and Book Series. It is computed in the year 2022.


Who is the publisher of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is published by John Wiley & Sons Inc.. The publication country of this journal is United States.


What is the abbreviation of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

This standard abbreviation of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is Wiley Interdiscip. Rev.: Data Min. Knowl. Discov..


Is "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery" a Journal, Conference or Book Series?

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a journal published by John Wiley & Sons Inc..


What is the scope of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

The scope of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is as follows:

  • Computer Science (miscellaneous)

For detailed scope of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, check the official website of this journal.


What is the ISSN of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

The International Standard Serial Number (ISSN) of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is/are as follows: 19424795, 19424787.


What is the best quartile for Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

The best quartile for Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is Q1.


What is the coverage history of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery?

The coverage history of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is as follows 2011-2021.


Credits and Sources


  • Scimago Journal & Country Rank (SJR), https://www.scimagojr.com/
  • Journal Impact Factor, https://clarivate.com/
  • Issn.org, https://www.issn.org/
  • Scopus, https://www.scopus.com/

Note: The impact score shown here is equivalent to the average number of times documents published in a journal/conference in the past two years have been cited in the current year (i.e., Cites / Doc. (2 years)). It is based on Scopus data and can be a little higher or different compared to the impact factor (IF) produced by Journal Citation Report. Please refer to the Web of Science data source to check the exact journal impact factor ™ (Thomson Reuters) metric.


Impact Score, SJR, h-Index, and Other Important metrics of These Journals, Conferences, and Book Series


Journal/Conference/Book Title Type Publisher Ranking SJR h-index Impact Score
Revue de Micropaleontologie Journal Elsevier Masson s.r.l. 11907 0.408 31 1.67
Oral Radiology Journal Springer Japan 10911 0.455 17 2.17
Medicina e Morale Journal PagePress Publications 21328 0.147 2 0.18
Pattern Recognition and Image Analysis Journal Pleiades Publishing 13177 0.356 29 1.24
Studia Historica, Historia Antigua Journal Ediciones Universidad de Salamanca 26410 0.101 2 0.08
Zeitschrift fur Physikalische Chemie Journal Walter de Gruyter GmbH 10557 0.472 51 2.95
Mitteilungen der Berliner Gesellschaft fur Anthropologie, Ethnologie und Urgeschichte Book Series Berliner Gesellschaft fur Anthropologie, Ethnologie und Urgeschichte 20271 0.166 2 0.00
Earth's Future Journal John Wiley & Sons Inc. 767 2.624 50 8.33
Series on Analysis, Applications and Computation Book Series World Scientific Publishing Co. Pte Ltd 22585 0.13 1 0.00
Journal of Substance Abuse Treatment Journal Elsevier Inc. 2947 1.228 109 3.50

Check complete list




Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery Impact Score (IS) Trend

Table: Impact Score

Year Impact Score (IS)
2022/2023 Udpated Soon
2021 10.38
2020 12.82
2019 10.65
2018 5.72
2017 3.88
2016 3.60
2015 3.28



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