Network Modeling Analysis in Health Informatics and Bioinformatics
Impact Factor & Key Scientometrics

Network Modeling Analysis in Health Informatics and Bioinformatics
Overview

Impact Factor

NA

H Index

23

Impact Factor

2.045

I. Basic Journal Info

Country

United States
Journal ISSN: 21926662, 21926670
Publisher: Springer Nature
History: 2012-2021
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

NetMAHIB publishes original research articles and reviews reporting how graph theory statistics linear algebra and machine learning techniques can be effectively used for modelling and analysis in health informatics and bioinformatics. It aims at creating a synergy between these disciplines by providing a forum for disseminating the latest developments and research findings hence results can be shared with readers across institutions governments researchers students and the industry. The journal emphasizes fundamental contributions on new methodologies discoveries and techniques that have general applicability and which form the basis for network based modelling knowledge discovery knowledge sharing and decision support to the benefit of patients healthcare professionals and society in traditional and advanced emerging settings including eHealth and mHealth .

II. Science Citation Report (SCR)



Network Modeling Analysis in Health Informatics and Bioinformatics
SCR Impact Factor

Network Modeling Analysis in Health Informatics and Bioinformatics
SCR Journal Ranking

Network Modeling Analysis in Health Informatics and Bioinformatics
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.

Network Modeling Analysis in Health Informatics and Bioinformatics
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Network Modeling Analysis in Health Informatics and Bioinformatics
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Network Modeling Analysis in Health Informatics and Bioinformatics
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Network Modeling Analysis in Health Informatics and Bioinformatics
Impact Factor History

2-year 3-year 4-year
  • 2023 Impact Factor
    2.536 2.575 2.646
  • 2022 Impact Factor
    2.952 2.757 2.594
  • 2021 Impact Factor
    2.045 1.933 1.808
  • 2020 Impact Factor
    1.22 1.066 1.398
  • 2019 Impact Factor
    0.811 1.333 1
  • 2018 Impact Factor
    1.154 0.965 0.931
  • 2017 Impact Factor
    1.061 0.951 0.904
  • 2016 Impact Factor
    0.571 0.736 0.798
  • 2015 Impact Factor
    0.684 0.764 0.764
  • 2014 Impact Factor
    0.65 NA NA
  • 2013 Impact Factor
    2.176 NA NA
  • 2012 Impact Factor
    0 NA NA
  • 2011 Impact Factor
    NA 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)

Network Modeling Analysis in Health Informatics and Bioinformatics
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

23

Network Modeling Analysis in Health Informatics and Bioinformatics
H-Index History