Machine Learning

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

About Machine Learning

Machine Learning is a journal covering the technologies/fields/categories related to Artificial Intelligence (Q1); Software (Q1). It is published by Springer Netherlands. The overall rank of Machine Learning is 1772. According to SCImago Journal Rank (SJR), this journal is ranked 1.72. 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 169. The best quartile for this journal is Q1.

The ISSN of Machine Learning journal is 15730565, 08856125. 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. Machine Learning is cited by a total of 2427 articles during the last 3 years (Preceding 2023).

Machine Learning Impact IF 2023-2024

The Impact IF 2023 of Machine Learning is 5.09, which is computed in 2024 as per its definition. Machine Learning IF is decreased by a factor of 2.16 and approximate percentage change is -29.79% when compared to preceding year 2022, which shows a falling 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.

Machine Learning Impact IF 2024 Prediction

Impact IF 2023 of Machine Learning is 5.09. If the same downward trend persists, Impact IF may fall in 2024 as well.

Machine Learning h-index

 

Machine Learning has an h-index of 169. It means 169 articles of this journal have more than 169 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.

Machine Learning ISSN

The ISSN of Machine Learning is 15730565, 08856125. 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.

Machine Learning Rank and SCImago Journal Rank (SJR)

The overall rank of Machine Learning is 1772. According to SCImago Journal Rank (SJR), this journal is ranked 1.72. 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 Machine Learning by Year

Ranking of Machine Learning by Year

Machine Learning Publisher

Machine Learning is published by Springer Netherlands. It's publishing house is located in Netherlands. Coverage history of this journal is as following: 1986-2023. 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 Machine Learning is Mach. Learn.. This abbreviation ('Mach. Learn.') 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 Machine Learning

If your research field is/are related to Artificial Intelligence (Q1); Software (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/