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Synthesis Lectures on Artificial Intelligence and Machine Learning- Impact Score, Overall Ranking, h-index, SJR, Rating, Publisher, ISSN, and Other Important Metrics

Last Updated on May 27, 2022

Impact Score

14.43

h-Index

 26

Rank

 512

SJR

 3.273

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 Synthesis Lectures on Artificial Intelligence and Machine Learning
Abbreviation Synth. Lect. Artif. Intell. Mach. Learn.
Publication Type Book series
Subject Area, Categories, Scope Artificial Intelligence (Q1)
h-index 26
Overall Rank/Ranking 512
SCImago Journal Rank (SJR) 3.273
Impact Score 14.43
Publisher Morgan and Claypool Publishers
Country United States
ISSN 19394616, 19394608




About Synthesis Lectures on Artificial Intelligence and Machine Learning


Synthesis Lectures on Artificial Intelligence and Machine Learning is a book series covering the technologies/fields/categories related to Artificial Intelligence (Q1). It is published by Morgan and Claypool Publishers. The overall rank of Synthesis Lectures on Artificial Intelligence and Machine Learning is 512. According to SCImago Journal Rank (SJR), this book series is ranked 3.273. 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 book series has an h-index of 26. The best quartile for this book series is Q1.

The ISSN of Synthesis Lectures on Artificial Intelligence and Machine Learning book series is 19394616, 19394608. 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. Synthesis Lectures on Artificial Intelligence and Machine Learning is cited by a total of 135 articles during the last 3 years (Preceding 2021).


Synthesis Lectures on Artificial Intelligence and Machine Learning Impact Score 2021-2022


The impact score (IS) 2021 of Synthesis Lectures on Artificial Intelligence and Machine Learning is 14.43, which is computed in 2022 as per its definition. 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


Impact Score Trend


Year wise Impact Score (IS) of Synthesis Lectures on Artificial Intelligence and Machine Learning. Based on Scopus data.


Year Impact Score (IS)
2022/2023 Coming Soon
2021 14.43
2020 13.17
2019 12.00
2018 11.50
2017 8.25
2016 4.50
2015 2.20
2014 5.00

Synthesis Lectures on Artificial Intelligence and Machine Learning h-index


  Table Setting

Synthesis Lectures on Artificial Intelligence and Machine Learning has an h-index of 26. It means 26 articles of this book series have more than 26 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.




Synthesis Lectures on Artificial Intelligence and Machine Learning ISSN


The ISSN of Synthesis Lectures on Artificial Intelligence and Machine Learning is 19394616, 19394608. 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

Synthesis Lectures on Artificial Intelligence and Machine Learning Rank and SCImago Journal Rank (SJR)


The overall rank of Synthesis Lectures on Artificial Intelligence and Machine Learning is 512. According to SCImago Journal Rank (SJR), this book series is ranked 3.273. 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.


Synthesis Lectures on Artificial Intelligence and Machine Learning Publisher


Table Setting

Synthesis Lectures on Artificial Intelligence and Machine Learning is published by Morgan and Claypool Publishers. It's publishing house is located in United States. Coverage history of this book series is as following: 2009-2021. 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 Synthesis Lectures on Artificial Intelligence and Machine Learning is Synth. Lect. Artif. Intell. Mach. Learn.. This abbreviation ('Synth. Lect. Artif. Intell. 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 Synthesis Lectures on Artificial Intelligence and Machine Learning


If your research field is/are related to Artificial Intelligence (Q1), then please visit the official website of this book series.


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


Journal/Conference/Workshop/Book Title Type Ranking Publisher h-index Impact Score
Materials Research Letters journal 1004 Taylor and Francis Ltd. 54 7.67
Project Baikal journal 19370 Russian Academy of Architecture and Construction Sciences, Vostoksibacademcenter 4 0.17
Asian Englishes journal 5887 Routledge 16 1.51
Archivos Venezolanos de Farmacologia y Terapeutica journal 20793 Sociedad Latinoamericana de Hipertension 8 0.39
Tuberkuloz ve Toraks journal 17826 Ankara University 20 0.68
UCLA Law Review journal 12617 American Statistical Association 47 0.76
Environmental History journal 11571 Oxford University Press 38 0.69
Biophysical Journal journal 2871 Cell Press 278 3.03
Clinics in Sports Medicine journal 9640 W.B. Saunders Ltd 87 1.91
Ekologiya Cheloveka (Human Ecology) journal 19140 Northern State Medical University 12 0.46

Check complete list




Year wise Impact Score (IS) of Synthesis Lectures on Artificial Intelligence and Machine Learning

Impact Score Table

Year Impact Score (IS)
2022/2023 Coming Soon
2021 14.43
2020 13.17
2019 12.00
2018 11.50
2017 8.25
2016 4.50
2015 2.20
2014 5.00



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