Data and Knowledge Engineering

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

Aim and Scope

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.

About Data and Knowledge Engineering

Data and Knowledge Engineering is a journal covering the technologies/fields/categories related to Information Systems and Management (Q2). It is published by Elsevier. The overall rank of Data and Knowledge Engineering is 9295. According to SCImago Journal Rank (SJR), this journal is ranked 0.556. 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 92. The best quartile for this journal is Q2.

The ISSN of Data and Knowledge Engineering journal is 0169023X. 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 and Knowledge Engineering is cited by a total of 318 articles during the last 3 years (Preceding 2022).

Data and Knowledge Engineering Impact IF 2022-2023

The Impact IF 2022 of Data and Knowledge Engineering is 3.01, which is computed in 2023 as per its definition. Data and Knowledge Engineering IF is increased by a factor of 1.06 and approximate percentage change is 54.36% 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 and Knowledge Engineering Impact IF 2023 Prediction

Impact IF 2022 of Data and Knowledge Engineering is 3.01. If the same upward trend persists, Impact IF may rise in 2023 as well.

Data and Knowledge Engineering h-index

 

Data and Knowledge Engineering has an h-index of 92. It means 92 articles of this journal have more than 92 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 and Knowledge Engineering ISSN

The ISSN of Data and Knowledge Engineering is 0169023X. 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 and Knowledge Engineering Rank and SCImago Journal Rank (SJR)

The overall rank of Data and Knowledge Engineering is 9295. According to SCImago Journal Rank (SJR), this journal is ranked 0.556. 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 and Knowledge Engineering by Year

Ranking of Data and Knowledge Engineering by Year

Data and Knowledge Engineering Publisher

Data and Knowledge Engineering is published by Elsevier. It's publishing house is located in Netherlands. Coverage history of this journal is as following: 1985, 1987-2022. 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 and Knowledge Engineering is Data Knowl. Eng.. This abbreviation ('Data Knowl. Eng.') 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 and Knowledge Engineering

If your research field is/are related to Information Systems and Management (Q2), 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/