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Synthesis Lectures on Artificial Intelligence and Machine Learning

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

Last Updated on October 31, 2023

Impact Score

2022-2023

40.86

h-Index

2022-2023

 29

Rank

2022-2023

 399

SJR

2022-2023

 3.886

Note: The impact score or impact index 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 and Factor

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 29
Overall Rank/Ranking 399
SCImago Journal Rank (SJR) 3.886
Impact Score 40.86
Publisher Morgan and Claypool Publishers
Country United States
ISSN 19394616, 19394608
Best Quartile Q1
Coverage History 2009-2022




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 399. According to SCImago Journal Rank (SJR), this book series is ranked 3.886. 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 29. 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 304 articles during the last 3 years (Preceding 2022).


Synthesis Lectures on Artificial Intelligence and Machine Learning Impact IF 2022-2023


The Impact IF 2022 of Synthesis Lectures on Artificial Intelligence and Machine Learning is 40.86, which is computed in 2023 as per its definition. 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.

Table Setting


Impact IF Trend


Year wise Impact IF of Synthesis Lectures on Artificial Intelligence and Machine Learning. Based on Scopus data.


Year Impact IF
2023/2024 Coming Soon
2022 40.86
2021 15.57
2020 9.33
2019 2.21
2018 2.57
2017 6.50
2016 5.00
2015 1.20
2014 2.61

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 29. It means 29 articles of this book series have more than 29 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 399. According to SCImago Journal Rank (SJR), this book series is ranked 3.886. 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 Synthesis Lectures on Artificial Intelligence and Machine Learning by Year


Year SJR
2023/2024 Coming Soon
2022 3.886
2021 3.273
2020 0.927
2019 1.824
2018 1.445
2017 0.856
2016 0.495
2015 0.896
2014 0.811

Ranking of Synthesis Lectures on Artificial Intelligence and Machine Learning by Year


Year Ranking
2023/2024 Coming Soon
2022 399
2021 512
2020 4899
2019 1549
2018 2406
2017 5359
2016 9362
2015 5130
2014 5654

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: 2009-2022. 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 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.



Frequently Asked Questions (FAQs)


What's the latest impact IF of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

Synthesis Lectures on Artificial Intelligence and Machine Learning latest impact IF is 40.86. It's evaluated in the year 2022. The highest and the lowest impact IF or impact score of this book series are 40.86 (2022) and 1.20 (2015), respectively, in the last 9 years. Moreover, its average IS is 9.54 in the previous 9 years.


What's the SCImago Journal Rank (SJR) of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The Synthesis Lectures on Artificial Intelligence and Machine Learning has an SJR (SCImago Journal Rank) of 3.886, according to the latest data. It is computed in the year 2023. In the past 9 years, this book series has recorded a range of SJR, with the highest being 3.886 in 2022 and the lowest being 0.495 in 2016. Furthermore, the average SJR of the Synthesis Lectures on Artificial Intelligence and Machine Learning over the previous 9-year period stands at 9.54.


What's the latest h-index of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The latest h-index of the Synthesis Lectures on Artificial Intelligence and Machine Learning is 29.


Who's the publisher of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The Synthesis Lectures on Artificial Intelligence and Machine Learning is published by the Morgan and Claypool Publishers, with its country of publication being the United States.


What's the current ranking of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The Synthesis Lectures on Artificial Intelligence and Machine Learning is currently ranked 399 out of 27955 Journals, Conferences, and Book Series in the latest ranking. Over the course of the last 9 years, this book series has experienced varying rankings, reaching its highest position of 399 in 2022 and its lowest position of 9362 in 2016.


What's the abbreviation or short name for the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The standard ISO4 abbreviation for the Synthesis Lectures on Artificial Intelligence and Machine Learning is Synth. Lect. Artif. Intell. Mach. Learn..


Is the "Synthesis Lectures on Artificial Intelligence and Machine Learning" classified as a Journal, Conference and Proceedings, Trade Journal or Book Series?

Synthesis Lectures on Artificial Intelligence and Machine Learning is classified as a book series that the Morgan and Claypool Publishers publishes.


What's the scope or major areas of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The Synthesis Lectures on Artificial Intelligence and Machine Learning encompasses the following areas:

  • Artificial Intelligence

For a more comprehensive understanding of its scope, check the official website of this book series.


What's the ISSN of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The Synthesis Lectures on Artificial Intelligence and Machine Learning is assigned the following International Standard Serial Numbers (ISSN): 19394616, 19394608.


What's the best quartile of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The best quartile for the Synthesis Lectures on Artificial Intelligence and Machine Learning is Q1 (2022).


What's the coverage history of the Synthesis Lectures on Artificial Intelligence and Machine Learning?

The Synthesis Lectures on Artificial Intelligence and Machine Learning coverage history can be summarized as follows: 2009-2022.


Credits and Sources


  • Scimago Journal & Country Rank (SJR), https://www.scimagojr.com/
  • Journal Impact Factor, https://clarivate.com/



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Milan Journal of Mathematics journal 3120 Birkhauser Verlag Basel 28 1.79
Archives of Phytopathology and Plant Protection journal 14852 Taylor and Francis Ltd. 29 1.14
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Biological Procedures Online journal 3350 BioMed Central Ltd. 43 6.40
Proteomics - Clinical Applications journal 9140 Wiley-VCH Verlag 59 2.02
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European Journal of Wildlife Research journal 8709 Springer Verlag 56 1.99

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

Impact Score Table

Year Impact Score (IS)
2023/2024 Coming Soon
2022 40.86
2021 15.57
2020 9.33
2019 2.21
2018 2.57
2017 6.50
2016 5.00
2015 1.20
2014 2.61



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