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

Last Updated on May 27, 2022

Impact Score

38.78

h-Index

 36

Rank

 35

SJR

 13.206

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 36
Overall Rank/Ranking 35
SCImago Journal Rank (SJR) 13.206
Impact Score 38.78
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 35. According to SCImago Journal Rank (SJR), this journal is ranked 13.206. 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 36. 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 503 articles during the last 3 years (Preceding 2021).


Foundations and Trends in Machine Learning Impact Score 2021-2022


The impact score (IS) 2021 of Foundations and Trends in Machine Learning is 38.78, which is computed in 2022 as per its definition. Foundations and Trends in Machine Learning IS is decreased by a factor of 30.78 and approximate percentage change is -44.25% 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.

Table Setting

Foundations and Trends in Machine Learning Impact Score 2022 Prediction


IS 2021 of Foundations and Trends in Machine Learning is 38.78. If the same downward trend persists, impact score may fall in 2022 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)
2022/2023 Coming Soon
2021 38.78
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 36. It means 36 articles of this journal have more than 36 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 35. According to SCImago Journal Rank (SJR), this journal is ranked 13.206. 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: 2008-2021. 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 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/



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Journal/Conference/Workshop/Book Title Type Ranking Publisher h-index Impact Score
Orthopaedic Nursing journal 19950 Lippincott Williams and Wilkins Ltd. 38 0.47
Dissolution Technologies journal 16166 Dissolution Technologies Inc 34 0.76
African American Review journal 24917 Johns Hopkins University Press 16 0.00
Studia z Filologii Polskiej i Slowianskiej journal 20545 Polska Akademia Nauk 2 0.05
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Statistical Inference for Stochastic Processes journal 7254 Springer Netherlands 19 1.18
Australian Journal of Mechanical Engineering journal 15213 Taylor and Francis Ltd. 13 1.34
SAE International Journal of Transportation Safety journal 21944 SAE International 10 0.79
Interacting with Computers journal 12735 Oxford University Press 86 2.19
International Journal of Forestry Research journal 16658 Hindawi Publishing Corporation 9 1.18

Check complete list




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

Impact Score Table

Year Impact Score (IS)
2022/2023 Coming Soon
2021 38.78
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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