Parallel Processing Letters
Impact Factor & Key Scientometrics

Parallel Processing Letters
Overview

Impact Factor

NA

H Index

32

Impact Factor

0.524

I. Basic Journal Info

Country

Singapore
Journal ISSN: 01296264, 1793642X
Publisher: World Scientific Publishing Co. Pte Ltd
History: 1994-2021
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

Parallel Processing Letters PPL aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered includedesign and analysis of parallel and distributed algorithmstheory of parallel computationparallel programming languagesparallel programming environmentsparallel architectures and VLSI circuitsunconventional computational problems e.g. timevarying variables interacting variables timevarying complexityunconventional computational paradigms e.g. biomolecular computing chemical computing quantum computingcomputing in nature e.g. decision making in plant and animal groups and populations bacterial communication intracellular information processingnatureinspired algorithms e.g. genetic algorithms neural networks swarm intelligenceLetters of high scientific quality containing original results will be published. Experimental results are also welcome for publication if they contain an analysis corresponding to an abstract model of computation.

II. Science Citation Report (SCR)



Parallel Processing Letters
SCR Impact Factor

Parallel Processing Letters
SCR Journal Ranking

Parallel Processing Letters
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.

Parallel Processing Letters
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Parallel Processing Letters
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Parallel Processing Letters
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Parallel Processing Letters
Impact Factor History

2-year 3-year 4-year
  • 2022 Impact Factor
    0.511 0.548 0.532
  • 2021 Impact Factor
    0.524 0.525 0.727
  • 2020 Impact Factor
    0.647 0.75 0.632
  • 2019 Impact Factor
    0.8 0.763 0.9
  • 2018 Impact Factor
    0.833 0.767 0.842
  • 2017 Impact Factor
    0.691 0.771 0.661
  • 2016 Impact Factor
    0.78 0.716 0.789
  • 2015 Impact Factor
    0.702 0.793 1.385
  • 2014 Impact Factor
    0.594 NA NA
  • 2013 Impact Factor
    1.523 NA NA
  • 2012 Impact Factor
    0.984 NA NA
  • 2011 Impact Factor
    0.68 NA NA
  • 2010 Impact Factor
    0.977 NA NA
  • 2009 Impact Factor
    0.776 NA NA
  • 2008 Impact Factor
    0.685 NA NA
  • 2007 Impact Factor
    0.436 NA NA
  • 2006 Impact Factor
    0.577 NA NA
  • 2005 Impact Factor
    1.068 NA NA
  • 2004 Impact Factor
    0.628 NA NA
  • 2003 Impact Factor
    0.597 NA NA
  • 2002 Impact Factor
    0.493 NA NA
  • 2001 Impact Factor
    0.365 NA NA
  • 2000 Impact Factor
    0.267 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)

Parallel Processing Letters
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

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Parallel Processing Letters
H-Index History