Journal Guide

This leading international journal publishes research and expository papers on the formulation, analysis and solution of mathematical models in the biosciences. The journal serves both mathematicians involved in solving model equations or in reaching conclusions that are testable in the real world, and biologists who are interested in forming mathematical models of biological processes and systems.Please bookmark this page as: http://www.elsevier.com/locate/mbsFor more information/suggestions/comments please contact AuthorSupport@elsevier.comBenefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Mathematical Communications is published by the Department of Mathematics, J.J. Strossmayer University of Osijek in cooperation with the Osijek Mathematical Society. The journal was initiated in 1996. It is published regularly - twice a year.

Mathematical Finance brings together work on the mathematical aspects of finance theory from such diverse fields as finance, economics, mathematics, and statistics. An essential resource for academic finance researchers and practitioners alike, the journal publishes clear and concise articles which present the latest theoretical developments. Modern finance is becoming increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Mathematical Finance offers a forum for the publication of articles which employ these techniques, as well as providing a much-needed bridge between mathematical scientists and financial economists. Mathematical Finance has been ranked 3rd in the category of Social Sciences/Mathematical Methods, and 6th in the category of Business and Finance journals according to the latest ISI rankings.

Mathematical Foundations of Machine Learning (MFML) is a forum for the publication of highest-quality peer-reviewed papers on the broad mathematical foundations of machine learning.

• Encourages papers concerned with all pure and applied mathematical aspects of machine learning, with a particular focus on foundational work.
• Explicitly encourages papers of conceptual value residing in the synthesis of mathematical theories and their application to fundamental problems in machine learning theory and practice.
• All papers must be characterised by originality and mathematical rigour; survey papers are welcome as well and must exhibit originality in the synthesis of the material and their vantage point.
• For a paper to be accepted, it is not enough that it contain original results. In fact, results should be highly relevant to the mathematical foundations of machine learning with a wide readership in mind.

Aims and scope Mathematical Geosciences (formerly Mathematical Geology) publishes original, high-quality, interdisciplinary papers in geomathematics focusing on quantitative methods and studies of the Earth, its natural resources and the environment.  This international publication is the official journal of the IAMG.   Mathematical Geosciences is an essential reference for researchers and practitioners of geomathematics who develop and apply quantitative models to earth science and geo-engineering problems.  Renaming the journal as of January 1, 2008 aims to better reflect the content of the journal and meets the growing multi-disciplinary interests and diversity of our readers and contributors.

5-year Impact Factor: 1.753     

Mathematical Logic Quarterly publishes original contributions on mathematical logic and foundations of mathematics and related areas, such as general logic, model theory, recursion theory, set theory, proof theory and constructive mathematics, algebraic logic, nonstandard models, and logical aspects of theoretical computer science. - A Journal for Mathematical Logic, Foundations of Mathematics, and Logical Aspects of Theoretical Computer Science ISSN: 0942-5616 (print). 1521-3870 (online). Volume 57. 6 Issues in 2011.

Formerly the IMA Journal of Mathematics Applied in Medicine and Biology.Mathematical Medicine and Biology publishes original articles with a significant mathematical content addressing topics in medicine and biology. Papers exploiting modern developments in applied mathematics are particularly welcome. The biomedical relevance of mathematical models should be demonstrated clearly and validation by comparison against experiment is strongly encouraged.The journal welcomes contributions relevant to any area of the life sciences including: * biomechanics * biophysics * cell biology * developmental biology * ecology and the environment * epidemiology * immunology * infectious diseases * neuroscience * pharmacology * physiology * population biology.

Mathematical Methods in the Applied Sciences publishes papers dealing with new mathematical methods for the consideration of linear and non-linear, direct and inverse problems for physical relevant processes over time- and space- varying media under certain initial, boundary, transition conditions etc. Papers dealing with biomathematical content, population dynamics and network problems are most welcome. Mathematical Methods in the Applied Sciences is an interdisciplinary journal: therefore, all manuscripts must be written to be accessible to a broad scientific but mathematically advanced audience. All papers must contain carefully written introduction and conclusion sections, which should include a clear exposition of the underlying scientific problem, a summary of the mathematical results and the tools used in deriving the results. Furthermore, the scientific importance of the manuscript and its conclusions should be made clear. Papers dealing with numerical processes or which contain only the application of well established methods will not be accepted. Because of the broad scope of the journal, authors should minimize the use of technical jargon from their subfield in order to increase the accessibility of their paper and appeal to a wider readership. If technical terms are necessary, authors should define them clearly so that the main ideas are understandable also to readers not working in the same subfield.

This journal is jointly sponsored by Gesellschaft fuer Operations Research (The German OR Society) and the Nederlands Genootschap voor Besliskunde (The Dutch OR Society). It features contributions to mathematics, statistics, and computer science that have special relevance to operations research. The journal publishes theoretical and applied papers with substantial mathematical interest in the areas of mathematical programming, continuous and discrete and combinatorial optimization, stochastic models, Markov decision processes and stochastic programming, dynamic programming, control theory, game theory, graphs and networks, queueing systems, inventory and reliability. The journal also covers mathematical methods and applications in economics, business administration, finance, and engineering. In addition, Mathematical Methods of Operations Research includes a special section devoted to review papers on mathematical methods and models in interesting fields of operations research and related optimization theory

The journal is dedicated to the mathematical foundations of statistical theory. It primarily publishes research papers with complete proofs and, occasionally, survey papers on particular fields of statistics. Papers dealing with applications of statistics are also published if they contain new theoretical developments to the underlying statistical methods. The journal provides an outlet for research in advanced statistical methodology and for studies where such methodology is effectively used or which stimulate its further development.

Mathematical Modelling and Analysis publishes carefully selected, high quality papers which explore new and important developments in all areas of mathematical modelling and analysis. The scope of the Journal includes:All fields of numerical analysisMathematical aspects of scientific computingParallel algorithmsMathematical modellingAnalysis of ODE and PDEApproximation theoryOptimizationThis Journal is published in collaboration with the Vilnius Gediminas Technical University. For more information on the Journal, please click here.

The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas. The journal is essentially functioning on the basis of topical issues representing active areas of research. Each topical issue has its own editorial board. The authors are invited to submit papers to the announced issues or to suggest new issues.The journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.

Mathematical Models and Computer Simulations is concerned with a variety of aspects of computer-assisted modeling and simulation in science and technology: the investigation of scientific problems and construction of mathematical models, the development of numerical methods, the computer test of the models, construction of computer codes for actual applied problems, and another cases studies.The journal publishes reviews, original articles, abstracts of preprints, reports and manuscripts. The particular problem oriented papers are devoted to controlled fusion, supersonic flows around aircraft, semiconductor technology, plasma chemistry, economics, and problems of social life.