Dependence Modeling- Impact Score, Overall Ranking, h-index, SJR, Rating, Publisher, ISSN, and Other Important Metrics

About Dependence Modeling

Dependence Modeling is a journal covering the technologies/fields/categories related to Applied Mathematics (Q3); Modeling and Simulation (Q3); Statistics and Probability (Q3). It is published by De Gruyter Open Ltd.. The overall rank of Dependence Modeling is 11227. According to SCImago Journal Rank (SJR), this journal is ranked 0.438. 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 10. The best quartile for this journal is Q3.

The ISSN of Dependence Modeling journal is 23002298. 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. Dependence Modeling is cited by a total of 49 articles during the last 3 years (Preceding 2021).

Dependence Modeling Impact Score 2021-2022

The impact score (IS) 2021 of Dependence Modeling is 0.52, which is computed in 2022 as per its definition. Dependence Modeling IS is decreased by a factor of 0.58 and approximate percentage change is -52.73% when compared to preceding year 2020, which shows a falling 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.

Dependence Modeling Impact Score 2022 Prediction

IS 2021 of Dependence Modeling is 0.52. If the same downward trend persists, impact score may fall in 2022 as well.

Dependence Modeling h-index

 

Dependence Modeling has an h-index of 10. It means 10 articles of this journal have more than 10 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.

Dependence Modeling ISSN

The ISSN of Dependence Modeling is 23002298. 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.

Dependence Modeling Rank and SCImago Journal Rank (SJR)

The overall rank of Dependence Modeling is 11227. According to SCImago Journal Rank (SJR), this journal is ranked 0.438. 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.

Dependence Modeling Publisher

Dependence Modeling is published by De Gruyter Open Ltd.. It's publishing house is located in Poland. Coverage history of this journal is as following: 2013-2021. 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 Dependence Modeling is Depend. Model.. This abbreviation ('Depend. Model.') 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 Dependence Modeling

If your research field is/are related to Applied Mathematics (Q3); Modeling and Simulation (Q3); Statistics and Probability (Q3), 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/