Title | Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery |
Abbreviation | Wiley Interdiscip. Rev.: Data Min. Knowl. Discov. |
Publication Type | Journal |
Subject Area, Categories, Scope | Computer Science (miscellaneous) (Q1) |
h-index | 62 |
Overall Rank/Ranking | 1018 |
SCImago Journal Rank (SJR) | 2.330 |
Impact Score | 10.30 |
Publisher | John Wiley & Sons Inc. |
Country | United States |
ISSN | 19424795, 19424787 |
Best Quartile | Q1 |
Coverage History | 2011-2022 |
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is a journal covering the technologies/fields/categories related to Computer Science (miscellaneous) (Q1). It is published by John Wiley & Sons Inc.. The overall rank of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 1018. According to SCImago Journal Rank (SJR), this journal is ranked 2.330. 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. SJR acts as an alternative to the Journal Impact Factor (or an average number of citations received in last 2 years). This journal has an h-index of 62. The best quartile for this journal is Q1.
The ISSN of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery journal is 19424795, 19424787. An International Standard Serial Number (ISSN) is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is cited by a total of 1698 articles during the last 3 years (Preceding 2022).
The Impact IF 2022 of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 10.30, which is computed in 2023 as per its definition. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery IF is decreased by a factor of 0.5 and approximate percentage change is -4.63% when compared to preceding year 2021, which shows a falling trend. The impact IF, also denoted as 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.
Impact IF 2022 of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 10.30. If the same downward trend persists, Impact IF may fall in 2023 as well.
Year | Impact IF |
---|---|
2023/2024 | Coming Soon |
2022 | 10.30 |
2021 | 10.80 |
2020 | 11.13 |
2019 | 9.65 |
2018 | 5.08 |
2017 | 3.52 |
2016 | 3.67 |
2015 | 3.30 |
2014 | 3.50 |
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery has an h-index of 62. It means 62 articles of this journal have more than 62 number of citations. The h-index is a way of measuring the productivity and citation impact of the publications. The h-index is defined as the maximum value of h such that the given journal/author has published h papers that have each been cited at least h number of times.
The ISSN of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 19424795, 19424787. ISSN stands for International Standard Serial Number.
An ISSN is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic.
The overall rank of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 1018. According to SCImago Journal Rank (SJR), this journal is ranked 2.330. 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.
Year | SJR |
---|---|
2023/2024 | Coming Soon |
2022 | 2.330 |
2021 | 2.901 |
2020 | 1.506 |
2019 | 1.465 |
2018 | 0.928 |
2017 | 0.971 |
2016 | 0.782 |
2015 | 0.848 |
2014 | 0.979 |
Year | Ranking |
---|---|
2023/2024 | Coming Soon |
2022 | 1018 |
2021 | 625 |
2020 | 2268 |
2019 | 2326 |
2018 | 4814 |
2017 | 4543 |
2016 | 5981 |
2015 | 5486 |
2014 | 4479 |
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is published by John Wiley & Sons Inc.. It's publishing house is located in United States. Coverage history of this journal is as following: 2011-2022. The organization or individual who handles the printing and distribution of printed or digital publications is known as Publisher.
Visit the official website of the journal/conference to check the further details about the call for papers.
The IS0 4 standard abbreviation of Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.. This abbreviation ('Wiley Interdiscip. Rev.: Data Min. Knowl. Discov.') is well recommended and approved for the purpose of indexing, abstraction, referencing and citing goals. It meets all the essential criteria of ISO 4 standard.
ISO 4 (International Organization for Standardization 4) is an international standard that defines a uniform and consistent system for abbreviating serial publication titles and journals.
If your research field is/are related to Computer Science (miscellaneous) (Q1), then please visit the official website of this journal.
The acceptance rate/percentage of any academic journal/conference depends upon many parameters. Some of the critical parameters are listed below.
It is essential to understand that the acceptance rate/rejection rate of papers varies among journals. Some Journals considers all the manuscripts submissions as a basis of acceptance rate computation. On the other hand, few consider the only manuscripts sent for peer review or few even not bother about the accurate maintenance of total submissions. Hence, it can provide a rough estimation only.
The best way to find out the acceptance rate is to reach out to the associated editor or to check the official website of the Journal/Conference.
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery latest impact IF is 10.30. It's evaluated in the year 2022. The highest and the lowest impact IF or impact score of this journal are 11.13 (2020) and 3.30 (2015), respectively, in the last 9 years. Moreover, its average IS is 6.77 in the previous 9 years.
The Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery has an SJR (SCImago Journal Rank) of 2.330, according to the latest data. It is computed in the year 2023. In the past 9 years, this journal has recorded a range of SJR, with the highest being 2.901 in 2021 and the lowest being 0.782 in 2016. Furthermore, the average SJR of the Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery over the previous 9-year period stands at 6.77.
The latest h-index of the Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is 62.
The Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is published by the John Wiley & Sons Inc., with its country of publication being the United States.
The Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is currently ranked 1018 out of 27955 Journals, Conferences, and Book Series in the latest ranking. Over the course of the last 9 years, this journal has experienced varying rankings, reaching its highest position of 625 in 2021 and its lowest position of 5981 in 2016.
The standard ISO4 abbreviation for the Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is Wiley Interdiscip. Rev.: Data Min. Knowl. Discov..
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is classified as a journal that the John Wiley & Sons Inc. publishes.
The Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery encompasses the following areas:
For a more comprehensive understanding of its scope, check the official website of this journal.
The Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is assigned the following International Standard Serial Numbers (ISSN): 19424795, 19424787.
The best quartile for the Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery is Q1 (2022).
The Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery coverage history can be summarized as follows: 2011-2022.
Journal/Conference/Workshop/Book Title | Type | Ranking | Publisher | h-index | Impact Score |
---|---|---|---|---|---|
Business: Theory and Practice | journal | 13414 | Vilnius Gediminas Technical University | 21 | 2.47 |
CESifo Economic Studies | journal | 14012 | Oxford University Press | 32 | 1.70 |
Archives of Phytopathology and Plant Protection | journal | 14852 | Taylor and Francis Ltd. | 29 | 1.14 |
Studies in Continuing Education | journal | 6011 | Routledge | 38 | 2.81 |
Natural Solutions | trade journal | 28581 | Innovision Health Media | 1 | 0.00 |
Indian Phytopathology | journal | 14222 | Springer Nature | 11 | 1.33 |
Genes and Nutrition | journal | 6154 | BioMed Central Ltd. | 61 | 3.28 |
European Journal of Cancer, Supplement | journal | 9063 | Elsevier Ltd. | 28 | 1.93 |
Rudarsko Geolosko Naftni Zbornik | journal | 14294 | University of Zagreb, Faculty of Mining, Geology and Petroleum Engineering | 17 | 1.48 |
Brazilian Symposium of Computer Graphic and Image Processing | conference and proceedings | 16004 | 32 | 0.00 |
Year | Impact Score (IS) |
---|---|
2023/2024 | Coming Soon |
2022 | 10.30 |
2021 | 10.80 |
2020 | 11.13 |
2019 | 9.65 |
2018 | 5.08 |
2017 | 3.52 |
2016 | 3.67 |
2015 | 3.30 |
2014 | 3.50 |