Machine Learning: Science and Technology

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

About Machine Learning: Science and Technology

Machine Learning: Science and Technology is a journal covering the technologies/fields/categories related to Artificial Intelligence (Q1); Human-Computer Interaction (Q1); Software (Q1). It is published by Institute of Physics Publishing. The overall rank of Machine Learning: Science and Technology is 2238. According to SCImago Journal Rank (SJR), this journal is ranked 1.506. 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 31. The best quartile for this journal is Q1.

The ISSN of Machine Learning: Science and Technology journal is 26322153. 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: Science and Technology is cited by a total of 1965 articles during the last 3 years (Preceding 2023).

Machine Learning: Science and Technology Impact IF 2023-2024

The Impact IF 2023 of Machine Learning: Science and Technology is 6.58, which is computed in 2024 as per its definition. Machine Learning: Science and Technology IF is increased by a factor of 0.24 and approximate percentage change is 3.79% when compared to preceding year 2022, 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.

Machine Learning: Science and Technology Impact IF 2024 Prediction

Impact IF 2023 of Machine Learning: Science and Technology is 6.58. If the same upward trend persists, Impact IF may rise in 2024 as well.

Machine Learning: Science and Technology h-index

 

Machine Learning: Science and Technology has an h-index of 31. It means 31 articles of this journal have more than 31 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: Science and Technology ISSN

The ISSN of Machine Learning: Science and Technology is 26322153. 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: Science and Technology Rank and SCImago Journal Rank (SJR)

The overall rank of Machine Learning: Science and Technology is 2238. According to SCImago Journal Rank (SJR), this journal is ranked 1.506. 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: Science and Technology by Year

Ranking of Machine Learning: Science and Technology by Year

Machine Learning: Science and Technology Publisher

Machine Learning: Science and Technology is published by Institute of Physics Publishing. It's publishing house is located in United Kingdom. Coverage history of this journal is as following: 2020-2023. 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: Science and Technology is Mach. Learn.: Sci. Technol.. This abbreviation ('Mach. Learn.: Sci. Technol.') 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: Science and Technology

If your research field is/are related to Artificial Intelligence (Q1); Human-Computer Interaction (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/