Synthesis Lectures on the Semantic Web: Theory and Technology
Impact Factor & Key Scientometrics

Synthesis Lectures on the Semantic Web: Theory and Technology
Overview

Impact Factor

NA

H Index

#N/A

Impact Factor

5.5

I. Basic Journal Info

Country

United States
Journal ISSN: 21604711, 2160472X
Publisher: Morgan and Claypool Publishers
History: 2011-2020
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

Synthesis Lectures on the Semantic Web Theory and Technology is edited by Ying Ding of Indiana University and Paul Groth of the University of Amsterdam. Whether you call it the Semantic Web Linked Data or Web 3.0 a new generation of Web technologies is offering major advances in the evolution of the World Wide Web. As the first generation of this technology transitions out of the laboratory new research is exploring how the growing Web of Data will change our world. While topics such as ontologybuilding and logics remain vital new areas such as the use of semantics in Web search the linking and use ofopen data on the Web andfuture applications that will be supported by these technologies are becoming important research areas in their own right. Whether they be scientists engineers or practitioners Web users increasingly need to understand not just the new technologies of the Semantic Web but to understand the principles by which those technologies work and the best practices for assembling systems that integrate the different languages resources and functionalities that will be important in keeping the Web the rapidly expanding and constantly changing information space that has changed our lives. Topics to be included Semantic Web Principles from linkeddata to ontology designKey Semantic Web technologies and algorithmsSemantic Search and language technologiesThe Emerging Web of Data and its use in industry government and university applicationsTrust Social networking and collaboration technologies for the Semantic WebThe economics of Semantic Web application adoption and usePublishing and Science on the Semantic WebSemantic Web in health care and life sciences

II. Science Citation Report (SCR)



Synthesis Lectures on the Semantic Web: Theory and Technology
SCR Impact Factor

Synthesis Lectures on the Semantic Web: Theory and Technology
SCR Journal Ranking

Synthesis Lectures on the Semantic Web: Theory and Technology
SCImago SJR Rank

SCImago Journal Rank (SJR indicator) is a measure of scientific influence of scholarly journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from.

Synthesis Lectures on the Semantic Web: Theory and Technology
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Synthesis Lectures on the Semantic Web: Theory and Technology
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Synthesis Lectures on the Semantic Web: Theory and Technology
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Synthesis Lectures on the Semantic Web: Theory and Technology
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    #N/A #N/A #N/A
  • 2022 Impact Factor
    NA NA NA
  • 2021 Impact Factor
    5.5 6 5.25
  • 2020 Impact Factor
    4 3.333 2.75
  • 2019 Impact Factor
    4 2.667 2.375
  • 2018 Impact Factor
    1.5 2.429 2.25
  • 2017 Impact Factor
    1.167 1.429 1.909
  • 2016 Impact Factor
    2.333 1.8 2.25
  • 2015 Impact Factor
    4 3.286 18.375
  • 2014 Impact Factor
    1 NA NA
  • 2013 Impact Factor
    53 NA NA
  • 2012 Impact Factor
    106 NA NA
  • 2011 Impact Factor
    0 NA NA
  • 2010 Impact Factor
    NA NA NA
  • 2009 Impact Factor
    NA NA NA
  • 2008 Impact Factor
    NA NA NA
  • 2007 Impact Factor
    NA NA NA
  • 2006 Impact Factor
    NA NA NA
  • 2005 Impact Factor
    NA NA NA
  • 2004 Impact Factor
    NA NA NA
  • 2003 Impact Factor
    NA NA NA
  • 2002 Impact Factor
    NA NA NA
  • 2001 Impact Factor
    NA NA NA
  • 2000 Impact Factor
    NA NA NA
Note: impact factor data for reference only

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Impact Factor

Impact factor (IF) is a scientometric factor based on the yearly average number of citations on articles published by a particular journal in the last two years. A journal impact factor is frequently used as a proxy for the relative importance of a journal within its field. Find out more: What is a good impact factor?


III. Other Science Influence Indicators

Any impact factor or scientometric indicator alone will not give you the full picture of a science journal. There are also other factors such as H-Index, Self-Citation Ratio, SJR, SNIP, etc. Researchers may also consider the practical aspect of a journal such as publication fees, acceptance rate, review speed. (Learn More)

Synthesis Lectures on the Semantic Web: Theory and Technology
H-Index

The h-index is an author-level metric that attempts to measure both the productivity and citation impact of the publications of a scientist or scholar. The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications

#N/A

Synthesis Lectures on the Semantic Web: Theory and Technology
H-Index History