Theory in Biosciences- Impact Score, Overall Ranking, h-index, SJR, Rating, Publisher, ISSN, and Other Important Metrics

About Theory in Biosciences

Theory in Biosciences is a journal covering the technologies/fields/categories related to Applied Mathematics (Q3); Ecology, Evolution, Behavior and Systematics (Q3); Statistics and Probability (Q3). It is published by Springer Verlag. The overall rank of Theory in Biosciences is 13991. According to SCImago Journal Rank (SJR), this journal is ranked 0.327. 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 37. The best quartile for this journal is Q3.

The ISSN of Theory in Biosciences journal is 16117530, 14317613. 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. Theory in Biosciences is cited by a total of 96 articles during the last 3 years (Preceding 2021).

Theory in Biosciences Impact Score 2021-2022

The impact score (IS) 2021 of Theory in Biosciences is 1.30, which is computed in 2022 as per its definition. Theory in Biosciences IS is decreased by a factor of 0.43 and approximate percentage change is -24.86% 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.

Theory in Biosciences Impact Score 2022 Prediction

IS 2021 of Theory in Biosciences is 1.30. If the same downward trend persists, impact score may fall in 2022 as well.

Theory in Biosciences h-index

 

Theory in Biosciences has an h-index of 37. It means 37 articles of this journal have more than 37 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.

Theory in Biosciences ISSN

The ISSN of Theory in Biosciences is 16117530, 14317613. 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.

Theory in Biosciences Rank and SCImago Journal Rank (SJR)

The overall rank of Theory in Biosciences is 13991. According to SCImago Journal Rank (SJR), this journal is ranked 0.327. 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.

Theory in Biosciences Publisher

Theory in Biosciences is published by Springer Verlag. It's publishing house is located in Germany. Coverage history of this journal is as following: 1997-2021. 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 Theory in Biosciences is Theory Biosci.. This abbreviation ('Theory Biosci.') 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 Theory in Biosciences

If your research field is/are related to Applied Mathematics (Q3); Ecology, Evolution, Behavior and Systematics (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/