Title | Synthesis Lectures on Artificial Intelligence and Machine Learning |
Standard Abbreviation | Synth. Lect. Artif. Intell. Mach. Learn. |
Type of Publication | Book series |
Discipline | Artificial Intelligence (Q1) |
Impact Score | 40.86 |
SCImago Journal Rank (SJR) | 3.886 |
h-index | 29 |
Overall Rank | 399 |
Publisher Name | Morgan and Claypool Publishers |
Publication Country | United States |
International Standard Serial Number (ISSN) | 19394616, 19394608 |
Coverage and History | 2009-2022 |
Best Quartile | Q1 |
Total Citations Received (Last 3 Year) |
304 |
Synthesis Lectures on Artificial Intelligence and Machine Learning is a book series published by Morgan and Claypool Publishers. This book series covers the area[s] related to Artificial Intelligence, etc.
The coverage history of this book series is as follows: 2009-2022.
The rank of this book series is 399. This book series's impact score, h-index, and SJR are 40.86, 29, and 3.886, respectively. The ISSN of this book series is/are as follows: 19394616, 19394608.
The best quartile of Synthesis Lectures on Artificial Intelligence and Machine Learning is Q1.
This book series has received a total of 304 citations during the last three years (Preceding 2022).
The latest impact score (IS) of the Synthesis Lectures on Artificial Intelligence and Machine Learning is 40.86. It is computed in the year 2023 as per its definition and based on Scopus data.
The impact score (IS), also denoted as the 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.
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 |
The h-index of Synthesis Lectures on Artificial Intelligence and Machine Learning is 29. By definition of the h-index, this book series has at least 29 published articles with more than 29 citations.
The h-index (also known as the Hirsch index or Hirsh index) is a scientometric parameter used to evaluate the scientific impact of the publications and journals. It is defined as the maximum value of h such that the given Journal has published at least h papers and each has at least h citations.
The International Standard Serial Number (ISSN) of Synthesis Lectures on Artificial Intelligence and Machine Learning is/are as follows: 19394616, 19394608.
The ISSN is a unique 8-digit identifier for a specific publication like Magazine or Journal. The ISSN is used in the postal system and in the publishing world to identify the articles that are published in journals, magazines, newsletters, etc. This is the number assigned to your article by the publisher, and it is the one you will use to reference your article within the library catalogues.
ISSN code (also called as "ISSN structure" or "ISSN syntax") can be expressed as follows: NNNN-NNNC
Here, N is in the set {0,1,2,3...,9}, a digit character, and C is in {0,1,2,3,...,9,X}
The Synthesis Lectures on Artificial Intelligence and Machine Learning is ranked 399 among 27955 Journals, Conferences, and Book Series.
As per 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.
The publisher of Synthesis Lectures on Artificial Intelligence and Machine Learning is Morgan and Claypool Publishers. The publishing house of this book series is located in the United States. Its coverage history is as follows: 2009-2022.
Please check the official website of this book series to find out the complete details and Call For Papers (CFPs).
The International Organization for Standardization 4 (ISO 4) abbreviation of Synthesis Lectures on Artificial Intelligence and Machine Learning is Synth. Lect. Artif. Intell. Mach. Learn.. ISO 4 is an international standard which defines a uniform and consistent system for the abbreviation of serial publication titles, which are published regularly. The primary use of ISO 4 is to abbreviate or shorten the names of scientific journals using the technique of List of Title Word Abbreviations (LTWA).
As ISO 4 is an international standard, the abbreviation ('Synth. Lect. Artif. Intell. Mach. Learn.') can be used for citing, indexing, abstraction, and referencing purposes.
If your area of research or discipline is related to Artificial Intelligence, etc., please check the book series's official website to understand the complete publication process.
There are several factors that influence the acceptance rate of any academic journal. Here are some critical parameters that are considered while calculating the acceptance rate:
The simplest way to find out the acceptance rate or rejection rate of a Journal/Conference is to check with the journal's/conference's editorial team through emails or through the official website.
The latest impact score of Synthesis Lectures on Artificial Intelligence and Machine Learning is 40.86. It is computed in the year 2023.
The latest h-index of Synthesis Lectures on Artificial Intelligence and Machine Learning is 29. It is evaluated in the year 2023.
The latest SCImago Journal Rank (SJR) of Synthesis Lectures on Artificial Intelligence and Machine Learning is 3.886. It is calculated in the year 2023.
The latest ranking of Synthesis Lectures on Artificial Intelligence and Machine Learning is 399. This ranking is among 27955 Journals, Conferences, and Book Series. It is computed in the year 2023.
Synthesis Lectures on Artificial Intelligence and Machine Learning is published by Morgan and Claypool Publishers. The publication country of this book series is United States.
This standard abbreviation of Synthesis Lectures on Artificial Intelligence and Machine Learning is Synth. Lect. Artif. Intell. Mach. Learn..
Synthesis Lectures on Artificial Intelligence and Machine Learning is a book series published by Morgan and Claypool Publishers.
The scope of Synthesis Lectures on Artificial Intelligence and Machine Learning is as follows:
For detailed scope of Synthesis Lectures on Artificial Intelligence and Machine Learning, check the official website of this book series.
The International Standard Serial Number (ISSN) of Synthesis Lectures on Artificial Intelligence and Machine Learning is/are as follows: 19394616, 19394608.
The best quartile for Synthesis Lectures on Artificial Intelligence and Machine Learning is Q1.
The coverage history of Synthesis Lectures on Artificial Intelligence and Machine Learning is as follows 2009-2022.
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.
Journal/Conference/Book Title | Type | Publisher | Ranking | SJR | h-index | Impact Score |
---|---|---|---|---|---|---|
Qualitative Research | Journal | SAGE Publications Ltd | 2108 | 86 | 3.97 | |
Journal of Geriatric Physical Therapy | Journal | Lippincott Williams and Wilkins Ltd. | 5578 | 43 | 1.80 | |
International Journal of Mathematical Education in Science and Technology | Journal | Taylor and Francis Ltd. | 10040 | 39 | 1.33 | |
Socialism and Democracy | Journal | Taylor and Francis Ltd. | 26162 | 17 | 0.09 | |
Educational Measurement: Issues and Practice | Journal | Wiley-Blackwell Publishing Ltd | 4494 | 59 | 1.53 | |
European Surgery - Acta Chirurgica Austriaca | Journal | Springer Medizin | 16873 | 23 | 0.58 | |
Population Review | Journal | Sociological Demography Press | 17841 | 13 | 0.73 | |
International Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS | Conference And Proceedings | Association for Computing Machinery (ACM) | 781 | 100 | 8.01 | |
Nigerian journal of medicine : journal of the National Association of Resident Doctors of Nigeria | Journal | National Association of Resident Doctors of Nigeria | 25905 | 25 | 0.00 | |
Engenharia Agricola | Journal | Sociedade Brasileira de Engenharia Agricola | 15839 | 30 | 1.12 |
Year | Impact Score (IS) |
---|---|
2023/2024 | Updated 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 |