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Mathematical and Computational Forestry and Natural-Resource Sciences

Impact, Factor and Metrics, Impact Score, Ranking, h-index, SJR, Rating, Publisher, ISSN, and More

Last Updated on June 27, 2025

Impact Score

2024-2025

0.40

h-Index

2024-2025

 14

Rank

2024-2025

 23774

SJR

2024-2025

 0.16

Note: The impact score or impact index shown here is equivalent to the average number of times documents published in a journal/conference in the past two years have been cited in the current year (i.e., Cites / Doc. (2 years)). It is based on Scopus data and can be a little higher or different compared to the impact factor (IF) produced by Journal Citation Report. Please refer to the Web of Science data source to check the exact journal impact factor ™ (Thomson Reuters) metric.

Important Metrics and Factor

Title Mathematical and Computational Forestry and Natural-Resource Sciences
Abbreviation Math. Comput. For. Nat.-Resour. Sci.
Publication Type Journal
Subject Area, Categories, Scope Applied Mathematics (Q4); Computer Science Applications (Q4); Environmental Engineering (Q4); Forestry (Q4)
h-index 14
Overall Rank/Ranking 23774
SCImago Journal Rank (SJR) 0.16
Impact Score 0.40
Publisher University of Georgia
Country United States
ISSN 19467664
Best Quartile Q4
Coverage History 2009-2024




About Mathematical and Computational Forestry and Natural-Resource Sciences


Mathematical and Computational Forestry and Natural-Resource Sciences is a journal covering the technologies/fields/categories related to Applied Mathematics (Q4); Computer Science Applications (Q4); Environmental Engineering (Q4); Forestry (Q4). It is published by University of Georgia. The overall rank of Mathematical and Computational Forestry and Natural-Resource Sciences is 23774. According to SCImago Journal Rank (SJR), this journal is ranked 0.16. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come. SJR acts as an alternative to the Journal Impact Factor (or an average number of citations received in last 2 years). This journal has an h-index of 14. The best quartile for this journal is Q4.

The ISSN of Mathematical and Computational Forestry and Natural-Resource Sciences journal is 19467664. An International Standard Serial Number (ISSN) is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic. Mathematical and Computational Forestry and Natural-Resource Sciences is cited by a total of 9 articles during the last 3 years (Preceding 2024).


Mathematical and Computational Forestry and Natural-Resource Sciences Impact IF 2024-2025


The Impact IF 2024 of Mathematical and Computational Forestry and Natural-Resource Sciences is 0.40, which is computed in 2025 as per its definition. Mathematical and Computational Forestry and Natural-Resource Sciences IF is increased by a factor of 0.02 and approximate percentage change is 5.26% when compared to preceding year 2023, which shows a rising trend. The impact IF, also denoted as Journal impact score (JIS), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. It is based on Scopus data.

Table Setting

Mathematical and Computational Forestry and Natural-Resource Sciences Impact IF 2025 Prediction


Impact IF 2024 of Mathematical and Computational Forestry and Natural-Resource Sciences is 0.40. If the same upward trend persists, Impact IF may rise in 2025 as well.


Impact IF Trend


Year wise Impact IF of Mathematical and Computational Forestry and Natural-Resource Sciences. Based on Scopus data.


Year Impact IF
2025/2026 Coming Soon
2024 0.40
2023 0.38
2022 0.63
2021 0.47
2020 1.09
2019 0.71
2018 0.21
2017 0.68
2016 0.88
2015 0.40
2014 0.35

Mathematical and Computational Forestry and Natural-Resource Sciences h-index


  Table Setting

Mathematical and Computational Forestry and Natural-Resource Sciences has an h-index of 14. It means 14 articles of this journal have more than 14 number of citations. The h-index is a way of measuring the productivity and citation impact of the publications. The h-index is defined as the maximum value of h such that the given journal/author has published h papers that have each been cited at least h number of times.




Mathematical and Computational Forestry and Natural-Resource Sciences ISSN


The ISSN of Mathematical and Computational Forestry and Natural-Resource Sciences is 19467664. ISSN stands for International Standard Serial Number.

An ISSN is a unique code of 8 digits. It is used for the recognition of journals, newspapers, periodicals, and magazines in all kind of forms, be it print-media or electronic.

Table Setting

Mathematical and Computational Forestry and Natural-Resource Sciences Rank and SCImago Journal Rank (SJR)


The overall rank of Mathematical and Computational Forestry and Natural-Resource Sciences is 23774. According to SCImago Journal Rank (SJR), this journal is ranked 0.16. SCImago Journal Rank is an indicator, which measures the scientific influence of journals. It considers the number of citations received by a journal and the importance of the journals from where these citations come.

SJR of Mathematical and Computational Forestry and Natural-Resource Sciences by Year


Year SJR
2025/2026 Coming Soon
2024 0.16
2023 0.209
2022 0.200
2021 0.184
2020 0.373
2019 0.159
2018 0.246
2017 0.391
2016 0.305
2015 0.299
2014 0.290

Ranking of Mathematical and Computational Forestry and Natural-Resource Sciences by Year


Year Ranking
2025/2026 Coming Soon
2024 23774
2023 19478
2022 19204
2021 19354
2020 12760
2019 21104
2018 15653
2017 11104
2016 13386
2015 13428
2014 13365

Mathematical and Computational Forestry and Natural-Resource Sciences Publisher


Table Setting

Mathematical and Computational Forestry and Natural-Resource Sciences is published by University of Georgia. It's publishing house is located in United States. Coverage history of this journal is as following: 2009-2024. The organization or individual who handles the printing and distribution of printed or digital publications is known as Publisher.


Call For Papers


Visit the official website of the journal/conference to check the further details about the call for papers.


Abbreviation


The IS0 4 standard abbreviation of Mathematical and Computational Forestry and Natural-Resource Sciences is Math. Comput. For. Nat.-Resour. Sci.. This abbreviation ('Math. Comput. For. Nat.-Resour. Sci.') is well recommended and approved for the purpose of indexing, abstraction, referencing and citing goals. It meets all the essential criteria of ISO 4 standard.

ISO 4 (International Organization for Standardization 4) is an international standard that defines a uniform and consistent system for abbreviating serial publication titles and journals.


How to publish in Mathematical and Computational Forestry and Natural-Resource Sciences


If your research field is/are related to Applied Mathematics (Q4); Computer Science Applications (Q4); Environmental Engineering (Q4); Forestry (Q4), then please visit the official website of this journal.


Acceptance Rate


The acceptance rate/percentage of any academic journal/conference depends upon many parameters. Some of the critical parameters are listed below.

  • The demand or interest of researchers/scientists in publishing in a specific Journal/Conference.
  • Peer review complexity and timeline.
  • The mix of unsolicited and invited submissions.
  • The time it takes from manuscript submission to final publication.
  • And Many More.

It is essential to understand that the acceptance rate/rejection rate of papers varies among journals. Some Journals considers all the manuscripts submissions as a basis of acceptance rate computation. On the other hand, few consider the only manuscripts sent for peer review or few even not bother about the accurate maintenance of total submissions. Hence, it can provide a rough estimation only.

The best way to find out the acceptance rate is to reach out to the associated editor or to check the official website of the Journal/Conference.



Frequently Asked Questions (FAQs)


What's the latest impact IF of the Mathematical and Computational Forestry and Natural-Resource Sciences?

Mathematical and Computational Forestry and Natural-Resource Sciences latest impact IF is 0.40. It's evaluated in the year 2024. The highest and the lowest impact IF or impact score of this journal are 1.09 (2020) and 0.21 (2018), respectively, in the last 11 years. Moreover, its average IS is 0.56 in the previous 11 years.


What's the SCImago Journal Rank (SJR) of the Mathematical and Computational Forestry and Natural-Resource Sciences?

The Mathematical and Computational Forestry and Natural-Resource Sciences has an SJR (SCImago Journal Rank) of 0.16, according to the latest data. It is computed in the year 2025. In the past 11 years, this journal has recorded a range of SJR, with the highest being 0.391 in 2017 and the lowest being 0.159 in 2019. Furthermore, the average SJR of the Mathematical and Computational Forestry and Natural-Resource Sciences over the previous 11-year period stands at 0.56.


What's the latest h-index of the Mathematical and Computational Forestry and Natural-Resource Sciences?

The latest h-index of the Mathematical and Computational Forestry and Natural-Resource Sciences is 14.


Who's the publisher of the Mathematical and Computational Forestry and Natural-Resource Sciences?

The Mathematical and Computational Forestry and Natural-Resource Sciences is published by the University of Georgia, with its country of publication being the United States.


What's the current ranking of the Mathematical and Computational Forestry and Natural-Resource Sciences?

The Mathematical and Computational Forestry and Natural-Resource Sciences is currently ranked 23774 out of 27955 Journals, Conferences, and Book Series in the latest ranking. Over the course of the last 11 years, this journal has experienced varying rankings, reaching its highest position of 11104 in 2017 and its lowest position of 23774 in 2024.


What's the abbreviation or short name for the Mathematical and Computational Forestry and Natural-Resource Sciences?

The standard ISO4 abbreviation for the Mathematical and Computational Forestry and Natural-Resource Sciences is Math. Comput. For. Nat.-Resour. Sci..


Is the "Mathematical and Computational Forestry and Natural-Resource Sciences" classified as a Journal, Conference and Proceedings, Trade Journal or Book Series?

Mathematical and Computational Forestry and Natural-Resource Sciences is classified as a journal that the University of Georgia publishes.


What's the scope or major areas of the Mathematical and Computational Forestry and Natural-Resource Sciences?

The Mathematical and Computational Forestry and Natural-Resource Sciences encompasses the following areas:

  • Applied Mathematics
  • Computer Science Applications
  • Environmental Engineering
  • Forestry

For a more comprehensive understanding of its scope, check the official website of this journal.


What's the ISSN of the Mathematical and Computational Forestry and Natural-Resource Sciences?

The Mathematical and Computational Forestry and Natural-Resource Sciences is assigned the following International Standard Serial Numbers (ISSN): 19467664.


What's the best quartile of the Mathematical and Computational Forestry and Natural-Resource Sciences?

The best quartile for the Mathematical and Computational Forestry and Natural-Resource Sciences is Q4 (2024).


What's the coverage history of the Mathematical and Computational Forestry and Natural-Resource Sciences?

The Mathematical and Computational Forestry and Natural-Resource Sciences coverage history can be summarized as follows: 2009-2024.


Credits and Sources


  • Scimago Journal & Country Rank (SJR), https://www.scimagojr.com/
  • Journal Impact Factor, https://clarivate.com/



Impact Score, h-Index, and Other Important Details of These Journals, Conferences, and Books


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Year wise Impact Score (IS) of Mathematical and Computational Forestry and Natural-Resource Sciences

Impact Score Table

Year Impact Score (IS)
2025/2026 Coming Soon
2024 0.40
2023 0.38
2022 0.63
2021 0.47
2020 1.09
2019 0.71
2018 0.21
2017 0.68
2016 0.88
2015 0.40
2014 0.35



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