Journal of Machine Learning Research

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

Aim and Scope

JMLR seeks previously unpublished papers on machine learning that contain:
- new algorithms with empirical, theoretical, psychological, or biological justification;
- experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems;
- accounts of applications of existing techniques that shed light on the strengths and weaknesses of the methods;
- formalization of new learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks;
- development of new analytical frameworks that advance theoretical studies of practical learning methods;
- extremely well-written surveys of existing work.

About Journal of Machine Learning Research

Journal of Machine Learning Research is a journal covering the technologies/fields/categories related to Artificial Intelligence (Q1); Control and Systems Engineering (Q1); Software (Q1); Statistics and Probability (Q1). It is published by Microtome Publishing. The overall rank of Journal of Machine Learning Research is 1058. According to SCImago Journal Rank (SJR), this journal is ranked 2.281. 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 239. The best quartile for this journal is Q1.

The ISSN of Journal of Machine Learning Research journal is 15337928, 15324435. 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. Journal of Machine Learning Research is cited by a total of 5639 articles during the last 3 years (Preceding 2022).

Journal of Machine Learning Research Impact IF 2022-2023

The Impact IF 2022 of Journal of Machine Learning Research is 7.19, which is computed in 2023 as per its definition. Journal of Machine Learning Research IF is increased by a factor of 0.18 and approximate percentage change is 2.57% 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.

Journal of Machine Learning Research Impact IF 2023 Prediction

Impact IF 2022 of Journal of Machine Learning Research is 7.19. If the same upward trend persists, Impact IF may rise in 2023 as well.

Journal of Machine Learning Research h-index

 

Journal of Machine Learning Research has an h-index of 239. It means 239 articles of this journal have more than 239 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.

Journal of Machine Learning Research ISSN

The ISSN of Journal of Machine Learning Research is 15337928, 15324435. 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.

Journal of Machine Learning Research Rank and SCImago Journal Rank (SJR)

The overall rank of Journal of Machine Learning Research is 1058. According to SCImago Journal Rank (SJR), this journal is ranked 2.281. 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 Journal of Machine Learning Research by Year

Ranking of Journal of Machine Learning Research by Year

Journal of Machine Learning Research Publisher

Journal of Machine Learning Research is published by Microtome Publishing. It's publishing house is located in United States. Coverage history of this journal is as following: 2001-2022. 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 Journal of Machine Learning Research is J. Mach. Learn. Res.. This abbreviation ('J. Mach. Learn. Res.') 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 Journal of Machine Learning Research

If your research field is/are related to Artificial Intelligence (Q1); Control and Systems Engineering (Q1); Software (Q1); Statistics and Probability (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/