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.

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.

The purpose of this journal is to provide a medium of exchange for scientists engaged in applied sciences (physics, mathematical physics, natural, and technological sciences) where there exists a non-trivial interplay between mathematics, mathematical modelling of real systems and mathematical and computer methods oriented towards the qualitative and quantitative analysis of real physical systems.The principal areas of interest of this journal are the following: *Mathematical modelling of systems in applied sciences; *Mathematical methods for the qualitative and quantitative analysis of models of mathematical physics and technological sciences; * Numerical and computer treatment of mathematical models or real systems.Special attention will be paid to the analysis of nonlinearities and stochastic aspects.Within the above limitation, scientists in all fields which employ mathematics are encouraged to submit research and review papers to the journal. Both theoretical and applied papers will be considered for publication. High quality, novelty of the content and potential for the applications to modern problems in applied sciences and technology will be the guidelines for the selection of papers to be published in the journal.

The analysis and improvement of performance in complex systems, the adaptation of plants to new demands or conditions, and the design of 'optimal' systems are a few of the challenges confronting engineers and systems scientists today. In many cases solutions to problems in areas such as these may be found through the use of appropriate mathematical models. The dynamic case, whether continuous time, discrete time of discrete-event, deterministic or stochastic, presents special challenges, and derivation of an appropriate solution depends strongly on the proper initial formulation of the goals and constraints. Increasingly this demands an interdisciplinary approach to modelling. Models can take the form of sets of equations, graphs or nets, or some combination of elements such as these. The derivation, combination, simplification and validation of models and sub-models are the main topics of Mathematical and Computer Modelling of Dynamical Systems, which provides an international forum for the presentation of new ideas in modelling and for the exchange of experience and knowledge through descriptions of specific applications. Original work will be published as regular papers or short notes dealing with a range of topics including the following:Processes and methods for model formulation, identification, development, reduction and validation etc. (including guidelines and check lists)Automation of modelling and software aid for modellingThe relationship between computational/simulation methods, the underlying mathematical formulation and real-world modelling problemsQualitative modelling including fuzzy and iterative approaches to modellingModular modelling (especially applied to interdisciplinary fields such as mechatronic or controlled environmental systems)Learning networks in modellingUncertainties in modellingThe relationship between the modelling approach and problem solutionsComparisons of methods for modelling, model reduction and model validationeffects of modelling errors on overall performance of engineering system (e.g. relationship between modelling and control design)Applications in the field of engineering systemsApplications in other fields (such as environmental systems, biotechnology etc.) provided the methods or ideas presented are relevant in a number of areas or are of interest from a theoretical point of viewCase studies allowing a comparison of ideas or methods Consequently, computer simulation and description of mathematical methods and/or algorithms are restricted to the field of modelling and to the consequences of modelling. Only the most important facts about the latter should be discussed but not all the details of modelling languages or about mathematical methods and/or algorithms which is used to solve the task for which the (simulation) model was created. Modelling of the task including the modelling of the dynamic system, of restrictions, of goals etc. and the implications of the model used on solution and on solution methods are of primary interest.Therefore, papers dealing with applications are accepted only when the purpose of the model, the assumptions (explicit and implicit) made in its development and the precise process of model validation are discussed carefully. Authors are requested to concentrate an those aspects which are of interest to a large community of engineers and scientists and to organize the paper so that it is stimulating and easily readable for engineers and scientists working in a wide range of application areas. Further, a manuscript should be self-contained without being lengthy i.e. its contents should be able to be understood by readers that are not experts in that specific area of application and without consulting many articles in the literature.INCREASED 2009 5-year Impact Factor: 0.623169; 2010 Thomson Reuters, 2009 Journal Citation Reports174;ReadershipEngineers - especially electrical and control engineers, aerospace engineers, mechanical engineers, marine and offshore engineers, chemical engineers, safe engineers and civil engineers, mathematicians and computer scientists who are involved with applications of mathematical and computer modelling in the physical sciences, in biology, in medicine, in ecology and in other fields such as economics. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.DisclaimerTaylor & Francis makes every effort to ensure the accuracy of all the information (the 8220;Content8221;) contained in its publications. However, Taylor & Francis and its agents and licensors make no representations or warranties whatsoever as to the accuracy, completeness or suitability for any purpose of the Content and disclaim all such representations and warranties whether express or implied to the maximum extent permitted by law. Any views expressed in this publication are the views of the authors and are not the views of Taylor & Francis.

The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles.Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO.Topics covered by the journal include mathematical tools in:•The foundations of systems modelling•Numerical analysis and the development of algorithms for simulationThey also include considerations about computer hardware for simulation and about special software and compilers.The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research.The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.

Mathematics in Computer Science (MCS) publishes high-quality original research papers on the development of theories and methods for computer and information sciences, the design, implementation, and analysis of algorithms and software tools for mathematical computation and reasoning, and the integration of mathematics and computer science for scientific and engineering applications. Insightful survey articles may be submitted for publication by invitation. As one of its distinct features, the journal publishes mainly special issues on carefully selected topics, reflecting the trends of research and development in the broad area of mathematics in computer science. Submission of proposals for special issues is welcome.


Bibliographic Data
Math.Comput.Sci.
First published in 2007
1 volume per year, 4 issues per volume
approx. 600 pages per volume
Format: 19.3 x 26 cm
ISSN 1661-8270 (print)
ISSN 1661-8289 (electronic)AMS American Mathematical Citation Quotient (MCQ): 0.17 (2011)

The AMS has published peer-reviewed journals of the highest quality in mathematical research for over 100 years. Each journal is unique in its offering of articles, book reviews, and reports. And each is managed by editors who are prominent in their fields. In addition to publishing and distributing printed journals, the AMS offers searchable electronic versions. Articles are posted before they are included in an issue, so the electronic versions are available prior to the print versions.

Mathematics of Control, Signals, and Systems (MCSS) publishes original and high-quality research papers concerned with mathematically rigorous system theoretic aspects of control and signal processing.

Authors of a paper wishing to enquire about the scope of the journal or the suitability of a particular topic are encouraged to contact the Editors informally, preferably by email, prior to submission. Please e-mail Professor Lars Grüne at: lars.gruene@uni-bayreuth.de. Authors can submit their papers online (see link to right).

Contributions are invited on all aspects of the research, development and applications of the science and technology of measurement and instrumentation. Authors are encouraged to submit novel material which could include results of research or experimental work, may deal with practical developments related to plant or process, discuss new developments in sensors and instrumentation, or relate to systems evaluation and modelling.Topics covered include: General principles of measurement and instrumentation; Sensors and sensor systems: design and evaluation; Data acquisition; Signal transmission; Processing and evaluation; Data output; Systems aspects; Systems modelling and evaluation; Specific applications in measurement and instrumentation; Specific instruments and measurement systems; Design and manufacture of instruments; applications of sensors and instrumentation.Benefits 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

Subject coverageWith 12 issues per year, Measurement Science and Technology publishes articles on new measurement techniques and associated instrumentation. Papers submitted to MST that describe experiments must represent an advance in measurement science or measurement technique rather than the application of established experimental technique. Authors must make this novel aspect clear, bearing in mind the multidisciplinary readership of the journal. Subject coverage includes the theory, practice and application of measurement in physics, chemistry, engineering and the environmental and life sciences from inception to commercial exploitation.Publications in the journal should emphasise the novelty of reported methods and give possible applications.

Measurement Techniques contains articles of interest to all who are engaged in the study and application of fundamental measurements.Coverage includes: general problems of metrology; Uniformity of measurement results; Measurement standards and methods; New techniques in measurement: linear, mechanical, electromagnetic, optical, time and frequency, thermo-technical, ionising radiations and more. The journal Measurement Techniques is a translation of the peer reviewed Russian journals: Izmeritel'naya Tekhnika and selected articles from Metrologiya. Both original Russian journals are publications of Gosstandart of Russia, the All-Russia Scientific-Research Institute for Optical-Physical Measurements, the Metrological Academy of Russia, the D.I.Mendeleev All-Russia Scientific-Research Instritute of Metrology, the All-Russia Scientific-Research Institute for Physical-Technical and Radiotechnical Measurements and the Ural Scientific-Research Institute of Metrology.