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Foundations and Trends in Machine Learning- Impact Factor, Overall Ranking, h-index, SJR, Rating, Publisher, ISSN, and Other Important Metrics

Last Updated on June 24, 2021

Impact Score

69.56

h-Index

 35

Rank

 355

SJR

 4.292

Note: The impact score shown here is equivalent to the average number of times documents published in a journal/conference in the past two years have been cited in the current year (i.e., Cites / Doc. (2 years)). It is based on Scopus data and can be a little higher or different compared to the impact factor (IF) produced by Journal Citation Report. Please refer to the Web of Science data source to check the exact journal impact factor ™ (Thomson Reuters) metric.

Important Metrics

Title Foundations and Trends in Machine Learning
Abbreviation Found. Trends Mach. Learn.
Publication Type Journal
Subject Area, Categories, Scope Artificial Intelligence (Q1); Human-Computer Interaction (Q1); Software (Q1)
h-index 35
Overall Rank/Ranking 355
SCImago Journal Rank (SJR) 4.292
Impact Score 69.56
Publisher Now Publishers Inc
Country United States
ISSN 19358245, 19358237


About Foundations and Trends in Machine Learning


Foundations and Trends in Machine Learning is a journal covering the technologies/fields/categories related to Artificial Intelligence (Q1); Human-Computer Interaction (Q1); Software (Q1). It is published by Now Publishers Inc. The overall rank of Foundations and Trends in Machine Learning is 355. According to SCImago Journal Rank (SJR), this journal is ranked 4.292. 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 35. The best quartile for this journal is Q1.

The ISSN of Foundations and Trends in Machine Learning journal is 19358245, 19358237. 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. Foundations and Trends in Machine Learning is cited by a total of 814 articles during the last 3 years (Preceding 2020).


Foundations and Trends in Machine Learning Impact Score 2020-2021


The impact score (IS) 2020 of Foundations and Trends in Machine Learning is 69.56, which is computed in 2021 as per its definition. Foundations and Trends in Machine Learning IS is increased by a factor of 24.56 and approximate percentage change is 54.58% when compared to preceding year 2019, which shows a rising 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.

Table Setting

Foundations and Trends in Machine Learning Impact Score 2021 Prediction


IS 2020 of Foundations and Trends in Machine Learning is 69.56. If the same upward trend persists, impact score of joule may rise in 2021 as well.


Impact Score Trend


Year wise Impact Score (IS) of Foundations and Trends in Machine Learning. Based on Scopus data.


Year Impact Score (IS)
2021/2022 Coming Soon
2020 69.56
2019 45.00
2018 28.50
2017 39.50
2016 13.14
2015 10.57
2014 16.83

Foundations and Trends in Machine Learning h-index


  Table Setting

Foundations and Trends in Machine Learning has an h-index of 35. It means 35 articles of this journal have more than 35 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.




Foundations and Trends in Machine Learning ISSN


The ISSN of Foundations and Trends in Machine Learning is 19358245, 19358237. 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.

Table Setting

Foundations and Trends in Machine Learning Rank and SCImago Journal Rank (SJR)


The overall rank of Foundations and Trends in Machine Learning is 355. According to SCImago Journal Rank (SJR), this journal is ranked 4.292. 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.


Foundations and Trends in Machine Learning Publisher


Table Setting

Foundations and Trends in Machine Learning is published by Now Publishers Inc. It's publishing house is located in United States. Coverage history of this journal is as following: 2008-2019. 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 Foundations and Trends in Machine Learning is Found. Trends Mach. Learn.. This abbreviation ('Found. Trends 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 Foundations and Trends in Machine Learning


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/



Impact Factor, h-Index, and Other Important Details of These Journals, Conferences, and Books


Journal/Conference/Workshop/Book Title Type Ranking Publisher h-index Impact Score
Journal of Shellfish Research journal 9935 National Shellfisheries Association 62 1.34
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RSC Detection Science book series 30035 Royal Society of Chemistry 7 0.40
Design Issues journal 13640 MIT Press Journals 33 0.69
Age and Ageing journal 1294 Oxford University Press 143 4.37
Tribology International journal 2553 Elsevier Ltd. 120 5.10
Physica E: Low-Dimensional Systems and Nanostructures journal 8707 Elsevier 94 3.37
Journal of Library Administration journal 8748 Routledge 28 0.83
International Journal of Emergency Mental Health journal 21961 Chevron Publishing Corporation 31 0.00
Proceedings - 30th Symposium on Integrated Circuits and Systems Design, SBCCI 2017 conference and proceedings 19505 1 0.00

Check complete list



Year wise Impact Score (IF) of Foundations and Trends in Machine Learning

Impact Score Table

Year Impact Score (IS)
2021/2022 Coming Soon
2020 69.56
2019 45.00
2018 28.50
2017 39.50
2016 13.14
2015 10.57
2014 16.83



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