Data Analysis and Knowledge Discovery

Impact, Factor and Metrics, Impact Score, Ranking, h-index, SJR, Rating, Publisher, ISSN, and More

About Data Analysis and Knowledge Discovery

Data Analysis and Knowledge Discovery is a journal covering the technologies/fields/categories related to Library and Information Sciences (Q3); Artificial Intelligence (Q4); Computer Science Applications (Q4); Information Systems (Q4). It is published by Chinese Academy of Sciences. The overall rank of Data Analysis and Knowledge Discovery is 20192. According to SCImago Journal Rank (SJR), this journal is ranked 0.181. 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 6. The best quartile for this journal is Q3.

The ISSN of Data Analysis and Knowledge Discovery journal is 20963467. 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. Data Analysis and Knowledge Discovery is cited by a total of 209 articles during the last 3 years (Preceding 2022).

Data Analysis and Knowledge Discovery Impact IF 2022-2023

The Impact IF 2022 of Data Analysis and Knowledge Discovery is 0.82, which is computed in 2023 as per its definition. Data Analysis and Knowledge Discovery IF is increased by a factor of 0.27 and approximate percentage change is 49.09% when compared to preceding year 2021, which shows a rising 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.

Data Analysis and Knowledge Discovery Impact IF 2023 Prediction

Impact IF 2022 of Data Analysis and Knowledge Discovery is 0.82. If the same upward trend persists, Impact IF may rise in 2023 as well.

Data Analysis and Knowledge Discovery h-index

 

Data Analysis and Knowledge Discovery has an h-index of 6. It means 6 articles of this journal have more than 6 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.

Data Analysis and Knowledge Discovery ISSN

The ISSN of Data Analysis and Knowledge Discovery is 20963467. 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.

Data Analysis and Knowledge Discovery Rank and SCImago Journal Rank (SJR)

The overall rank of Data Analysis and Knowledge Discovery is 20192. According to SCImago Journal Rank (SJR), this journal is ranked 0.181. 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 of Data Analysis and Knowledge Discovery by Year

Ranking of Data Analysis and Knowledge Discovery by Year

Data Analysis and Knowledge Discovery Publisher

Data Analysis and Knowledge Discovery is published by Chinese Academy of Sciences. It's publishing house is located in China. Coverage history of this journal is as following: 2020-2022. The organization or individual who handles the printing and distribution of printed or digital publications is known as Publisher.

Call For Papers

Visit the official website of the journal/conference to check the further details about the call for papers.

Abbreviation

The IS0 4 standard abbreviation of Data Analysis and Knowledge Discovery is Data Anal. Knowl. Discov.. This abbreviation ('Data Anal. 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.

How to publish in Data Analysis and Knowledge Discovery

If your research field is/are related to Library and Information Sciences (Q3); Artificial Intelligence (Q4); Computer Science Applications (Q4); Information Systems (Q4), then please visit the official website of this journal.

Acceptance Rate

The acceptance rate/percentage of any academic journal/conference depends upon many parameters. Some of the critical parameters are listed below.

• The demand or interest of researchers/scientists in publishing in a specific Journal/Conference.
• Peer review complexity and timeline.
• The mix of unsolicited and invited submissions.
• The time it takes from manuscript submission to final publication.
• And Many More.

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.

Credits and Sources

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