Mathematical and Computational Forestry and Natural-Resource Sciences
Impact Factor & Key Scientometrics

Mathematical and Computational Forestry and Natural-Resource Sciences
Overview

Impact Factor

H Index

Impact Factor

0.467

I. Basic Journal Info

Country

United States
Journal ISSN: 19467664
Publisher: NA
History: 2009-2022
Journal Hompage: Link
How to Get Published:

Research Categories

Scope/Description:

"Mathematical and Computational Forestry & Natural-Resource Sciences" (MCFNS) is an international scientific journal dedicated to the promotion, publication, and public discussion, of high quality studies on the basic mathematical and computational research in forestry and natural resource sciences. The title of the journal is intended to be descriptive of this journal's main focus and scope. The journal is all-inclusive in the sense that it invites publications from a range of topics varying in scope from "Mathematical Forestry" to "Mathematical Natural-Resource Sciences," and from "Computational Forestry" to "Computational Natural-Resource Sciences." The notions of "Mathematical" and "Computational" sciences are intended to indicate a double focus on two opposite ends of the contemporary natural resource sciences spectrum. One end is the traditional Rationalist, derivation-based foundation of theoretical thinking that was the origin of all the sciences, but in recent decades, with the growing availability of inexpensive computers, is losing ground to the overriding usage of data-analysis-based studies. The other end of the spectrum is inevitably what many aspects of natural sciences must converge to in taking advantage of emerging and ever-growing and more readily available super-computing power. Inasmuch as the increasing computing resources demote the basic analytical research, replacing it with expedient empirical solutions, they promote a different kind of analytical research by opening new ways of structuring scientific pursuits, asking formerly unanswerable questions, and solving formerly insolvable problems with the use of computer-based modeling and simulations.

II. Science Citation Report (SCR)



Mathematical and Computational Forestry and Natural-Resource Sciences
SCR Impact Factor

Mathematical and Computational Forestry and Natural-Resource Sciences
SCR Journal Ranking

Mathematical and Computational Forestry and Natural-Resource Sciences
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.

Mathematical and Computational Forestry and Natural-Resource Sciences
Scopus 2-Year Impact Factor Trend

Note: impact factor data for reference only

Mathematical and Computational Forestry and Natural-Resource Sciences
Scopus 3-Year Impact Factor Trend

Note: impact factor data for reference only

Mathematical and Computational Forestry and Natural-Resource Sciences
Scopus 4-Year Impact Factor Trend

Note: impact factor data for reference only

Mathematical and Computational Forestry and Natural-Resource Sciences
Impact Factor History

2-year 3-year 4-year
  • 2022 Impact Factor
    0.625 0.565 0.556
  • 2021 Impact Factor
    0.467 0.474 0.472
  • 2020 Impact Factor
    1.091 0.821 0.667
  • 2019 Impact Factor
    0.714 0.563 0.625
  • 2018 Impact Factor
    0.214 0.5 0.6
  • 2017 Impact Factor
    0.684 0.821 0.692
  • 2016 Impact Factor
    0.882 0.607 0.622
  • 2015 Impact Factor
    0.4 0.655 1.295
  • 2014 Impact Factor
    0.35 NA NA
  • 2013 Impact Factor
    0.667 NA NA
  • 2012 Impact Factor
    0.457 NA NA
  • 2011 Impact Factor
    0.29 NA NA
  • 2010 Impact Factor
    0.364 NA NA
  • 2009 Impact Factor
    0 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)

Mathematical and Computational Forestry and Natural-Resource Sciences
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

Mathematical and Computational Forestry and Natural-Resource Sciences
H-Index History