Data Science and Engineering- Impact Score, Overall Ranking, h-index, SJR, Rating, Publisher, ISSN, and Other Important Metrics

About Data Science and Engineering

Data Science and Engineering is a journal covering the technologies/fields/categories related to Computational Mechanics (Q1); Computer Science Applications (Q1). It is published by Springer Berlin. The overall rank of Data Science and Engineering is 1956. According to SCImago Journal Rank (SJR), this journal is ranked 1.563. 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 17. The best quartile for this journal is Q1.

The ISSN of Data Science and Engineering journal is 23641541, 23641185. 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 Science and Engineering is cited by a total of 368 articles during the last 3 years (Preceding 2021).

Data Science and Engineering Impact Score 2021-2022

The impact score (IS) 2021 of Data Science and Engineering is 4.52, which is computed in 2022 as per its definition. Data Science and Engineering IS is increased by a factor of 0.9 and approximate percentage change is 24.86% when compared to preceding year 2020, which shows a rising trend. The impact score (IS), 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 Science and Engineering Impact Score 2022 Prediction

IS 2021 of Data Science and Engineering is 4.52. If the same upward trend persists, impact score may rise in 2022 as well.

Data Science and Engineering h-index

 

Data Science and Engineering has an h-index of 17. It means 17 articles of this journal have more than 17 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 Science and Engineering ISSN

The ISSN of Data Science and Engineering is 23641541, 23641185. 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 Science and Engineering Rank and SCImago Journal Rank (SJR)

The overall rank of Data Science and Engineering is 1956. According to SCImago Journal Rank (SJR), this journal is ranked 1.563. 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.

Data Science and Engineering Publisher

Data Science and Engineering is published by Springer Berlin. It's publishing house is located in Germany. Coverage history of this journal is as following: 2016-2021. 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 Science and Engineering is Data Sci. Eng.. This abbreviation ('Data Sci. 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 Science and Engineering

If your research field is/are related to Computational Mechanics (Q1); Computer Science Applications (Q1), 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/