News
Subscribe-to-Open 2022 Transparency Report for maths journals provides new metrics
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- Published on 30 March 2022
We are pleased to share the Subscribe-to-Open (S2O) 2022 Transparency Report. The annual report details costs and prices related to the EDP Sciences-SMAI Subscribe-to-Open program for the applied mathematics journals they co-publish.
Support from library community for Subscribe-to-Open ensures continued open access for Mathematics titles in 2022
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- Published on 09 March 2022
Paris, France, 8 March 2022: EDP Sciences and the Société de Mathématiques Appliquées et Industrielles (SMAI) have announced today that six mathematics journals will continue to publish in open access under the Subscribe-to-Open (S2O) model in 2022*. This demonstrates the support from the library community for this equitable open access model which enables open access publication without article processing charges (APCs).
Strong performance from maths portfolio in 2020 Journal Impact Factors from Clarivate
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- Published on 15 July 2021
MMNP ranks Q1 following ground-breaking move to Subscribe-to-Open in 2020
Paris, France, 8 July 2021: We are pleased to report that our mathematics journals have performed particularly well in this year’s Journal Impact Factors ™ from Clarivate. The star performer is Mathematical Modelling of Natural Phenomena (MMNP) which increased by 153% (from 1.642 to 4.157) having already increased by 73% last year. It is now ranked 13/108 in “Mathematics, Interdisciplinary Applications”, 6/265 in “Mathematics, Applied” and 10/58 in “Mathematical & Computational Biology” – all Q1 or the top 25% of the world’s most-cited journals. Indeed, every EDP Sciences maths journal indexed in Web of Science ™ has received an increased impact factor contributing to an unprecedented year in which all eligible EDP Sciences journals increased.
Momentum builds for Subscribe-to-Open as mathematics portfolio transitions to open access
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- Published on 20 May 2021
Paris, France, 19 May 2021: It is confirmed that five mathematics journals published by EDP Sciences and the Société de Mathématiques Appliquées et Industrielles (SMAI) will join Mathematical Modelling of Natural Phenomena (MMNP) in open access under the Subscribe-to-Open (S2O) model in 2021*. The transition will further bolster S2O, a transformative model first introduced by Annual Reviews and recently endorsed by cOAlition S.
MMNP COVID-19 special issue expands its publication formats to include HTML and ePUB
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- Published on 04 November 2020
Mathematical Modelling of Natural Phenomena (MMNP) is pleased to announce that all articles from the “Coronavirus: Scientific insights and societal aspects” special issue can now be accessed in HTML and ePUB formats, in addition to the traditional PDF format. With these additional formats, we are making research on mathematical modelling of the Covid-19 epidemic more easily accessible to researchers, students, and the public alike.
Mathematical modelling in the age of COVID-19
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- Published on 18 August 2020
Vitaly Volpert of the Institut Camille Jordan, University of Lyon, France, reviews how the public’s new favourite scientific discipline, mathematical modelling, is being used to track and tackle the COVID-19 pandemic.
2019 Impact Factor: sharp rise for MMNP
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- Published on 20 July 2020
After being included in the ‘Mathematics, Applied’ category of Web of Science towards the end of 2019, MMNP is delighted to announce a 73% increase in its 2019 Impact Factor. The Journal Citation Reports®, announced by Clarivate Analytics recently, show an increase from 0.949 in 2018 to 1.642* in 2019 meaning it now ranks 66/260 in the Mathematics Applied category. With a CiteScore of 3.2, MMNP currently ranks 121/510 in Applied Mathematics.
Call for Papers: Coronavirus: scientific insights and societal aspects (March 2020)
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- Published on 20 March 2020
UPDATE (2020-05-07)
The journal has received numerous papers with the application of conventional epidemiological models (SIR, SEIR) to describe Covid-19 epidemic progression in different countries. To avoid the repetition of similar models and results, we will restrict the consideration of such works and will privilege other directions of mathematical modelling related to the immune response, pathophysiology, virology, etc.
The COVID-19 epidemic is provoking numerous questions at all levels. It also shows that modern society is extremely vulnerable and unprepared to such events. A wide scientific and public discussion becomes necessary. This special issue of MMNP will publish scientific papers in a broad range of topics related to coronavirus infection and epidemic, reports and data analysis, as well as more general prospective articles. The special issue will contain a mixture of invited articles, and spontaneous submissions. If you would like to submit an article, please visit the MMNP submission site. Please ensure you select the article type “Coronavirus: scientific insights and societal aspects”.
In order to accelerate the publication of papers, articles will be reviewed by members of the editorial board. The publication process will be fast-tracked as the timely availability of research is crucial to meeting and overcoming the ongoing challenges posed by the pandemic. Your article will be published in open access free of charge, under EDP Sciences’ “Subscribe to Open” programme.
Board:
E. Augeraud Veron, Université de Bordeaux, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
M. Banerjee, Indian Institute of Technology Kanpur, India, This email address is being protected from spambots. You need JavaScript enabled to view it.
G. Bocharov, Marchuk Institute of Numerical Mathematics, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
J.-S. Dhersin, CNRS et Université Sorbonne Paris Nord, France This email address is being protected from spambots. You need JavaScript enabled to view it.
A. d’Onofrio, International Prevention Research Institute, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
T. Lipniacki, Institute of Fundamental Technological Research, Poland, This email address is being protected from spambots. You need JavaScript enabled to view it.
S. Petrovskii, University of Leicester, UK, This email address is being protected from spambots. You need JavaScript enabled to view it.
C. Tran, Université Paris-Est, Marne-la-Vallée, France This email address is being protected from spambots. You need JavaScript enabled to view it.
A. Veber-Delattre, Polytechnique, France <This email address is being protected from spambots. You need JavaScript enabled to view it.
E. Vergu, INRA, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
V. Volpert, CNRS, France, This email address is being protected from spambots. You need JavaScript enabled to view it.
MMNP transitions to open access under the Subscribe to Open model (March 2020)
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- Published on 05 March 2020
Change of Web of Science categories for MMNP (August 2019)
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- Published on 28 August 2019
Publisher’s Note
Mathematical Modelling of Natural Phenomena is a journal whose primary focus is mathematics, applied to non-mathematics disciplines. Yet, this was not reflected in the categories in which the journal is indexed in the major citation databases : Web of Science and Scopus.