Mathematical Modelling Of Natural Phenomena impact factor, indexing, ranking (2024)

Aim and Scope

The Mathematical Modelling Of Natural Phenomena is a research journal that publishes research related to Mathematics. This journal is published by the EDP Sciences. The ISSN of this journal is 09735348, 17606101. Based on the Scopus data, the SCImago Journal Rank (SJR) of mathematical modelling of natural phenomena is 0.454.

Also, please check the following important details about mathematical modelling of natural phenomena: Publisher, ISSN, Ranking, Indexing, Impact Factor (if applicable), Publication fee (APC), Review Time, and Acceptance Rate.

According to Clarivate's JCR, journals indexed in SCIE/SSCI have an impact factor.

Mathematical Modelling Of Natural Phenomena Ranking

The Impact Factor of Mathematical Modelling Of Natural Phenomena is 3.117.

The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times its articles are cited.

The impact factor was devised by Eugene Garfield, the founder of the Institute for Scientific Information (ISI) in Philadelphia. Impact factors began to be calculated yearly starting from 1975 for journals listed in the Journal Citation Reports (JCR). ISI was acquired by Thomson Scientific & Healthcare in 1992, and became known as Thomson ISI. In 2018, Thomson-Reuters spun off and sold ISI to Onex Corporation and Baring Private Equity Asia. They founded a new corporation, Clarivate, which is now the publisher of the JCR.

Important Metrics

mathematical modelling of natural phenomena Indexing

The mathematical modelling of natural phenomena is indexed in:

• UGC CARE
• Scopus
• Web of Science (SCIE)

An indexed journal means that the journal has gone through and passed a review process of certain requirements done by a journal indexer.

The Web of Science Core Collection includes the Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), Arts & Humanities Citation Index (AHCI), and Emerging Sources Citation Index (ESCI).

Mathematical Modelling Of Natural Phenomena Impact Factor 2024

The latest impact factor of mathematical modelling of natural phenomena is 3.117.

The impact factor (IF) is a measure of the frequency with which the average article in a journal has been cited in a particular year. It is used to measure the importance or rank of a journal by calculating the times it's articles are cited.

Note: Every year, The Clarivate releases the Journal Citation Report (JCR). The JCR provides information about academic journals including impact factor. The latest JCR was released in June, 2023. The JCR 2024 will be released in the June 2024.

Mathematical Modelling Of Natural Phenomena Quartile

The latest Quartile of mathematical modelling of natural phenomena is Q2.

Each subject category of journals is divided into four quartiles: Q1, Q2, Q3, Q4. Q1 is occupied by the top 25% of journals in the list; Q2 is occupied by journals in the 25 to 50% group; Q3 is occupied by journals in the 50 to 75% group and Q4 is occupied by journals in the 75 to 100% group.

Call for Papers

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

How to publish in Mathematical Modelling Of Natural Phenomena?

If your research is related to Mathematics, then visit the official website of mathematical modelling of natural phenomena and send your manuscript.

Tips for publishing in Mathematical Modelling Of Natural Phenomena:

• Selection of research problem.
• Presenting a solution.
• Designing the paper.
• Make your manuscript publication worthy.
• Write an effective results section.
• Mind your references.

Acceptance Rate

Journal Publication Time

The publication time may vary depending on factors such as the complexity of the research and the current workload of the editorial team. Journals typically request reviewers to submit their reviews within 3-4 weeks. However, some journals lack mechanisms to enforce this deadline, making it difficult to predict the duration of the peer review process.

The review time also depends upon the quality of the research paper.

Final Summary