Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
Impact Factor & Key Scientometrics

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
Overview

Impact Factor

H Index

115

Impact Factor

1068

I. Basic Journal Info

Country

United States
Journal ISSN: -
Publisher: Association for Computing Machinery (ACM)
History: 1988, 1990-1991, 1994-2022
Journal Hompage: Link
How to Get Published:
Find out more

Research Categories

Scope/Description:

PLDI is a forum where researchers, developers, educators, and practitioners exchange information on the latest practical and experimental work in the design and implementation of programming languages. PLDI seeks original research papers that focus on the design, implementation, development, and use of programming languages. PLDI emphasizes innovative and creative approaches to compile-time and runtime technology; novel language designs and features; and results from implementations.

II. Science Citation Report (SCR)



Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
SCR Impact Factor

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
SCR Journal Ranking

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
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.

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    #N/A #N/A #N/A
  • 2022 Impact Factor
    1161 88 88
  • 2021 Impact Factor
    1068 93 93
  • 2020 Impact Factor
    763 63 63
  • 2019 Impact Factor
    896 84 84
  • 2018 Impact Factor
    721 46 46
  • 2017 Impact Factor
    992 48 48
  • 2016 Impact Factor
    1115 57 57
  • 2015 Impact Factor
    983 55 55
  • 2014 Impact Factor
    932 NA NA
  • 2013 Impact Factor
    887 NA NA
  • 2012 Impact Factor
    840 NA NA
  • 2011 Impact Factor
    647 NA NA
  • 2010 Impact Factor
    929 NA NA
  • 2009 Impact Factor
    761 NA NA
  • 2008 Impact Factor
    768 NA NA
  • 2007 Impact Factor
    605 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)

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
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

115

Proceedings of the ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI)
H-Index History

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