Journal Guide

Journal of Scientific Computing is an international interdisciplinary forum for the publication of papers on state-of-the-art developments in scientific computing and its applications in science and engineering.

The journal publishes high-quality, peer-reviewed original papers, review papers and short communications on scientific computing.

Journal of Statistical Computation and Simulation publishes significant and original work in areas of statistics which are related to or dependent upon the computer.Fields covered include computer algorithms related to probability or statistics, studies in statistical inference by means of simulation techniques, and implementation of interactive statistical systems.2009 5-year Impact Factor: 0.517169; 2010 Thomson Reuters, 2009 Journal Citation Reports174; 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 Journal of Statistical Planning and Inference offers itself as a multifaceted and all-inclusive bridge between classical aspects of statistics and probability, and the emerging interdisciplinary aspects that have a potential of revolutionizing the subject. While we maintain our traditional strength in statistical inference, design, classical probability, and large sample methods, we also have a far more inclusive and broadened scope to keep up with the new problems that confront us as statisticians, mathematicians, and scientists.We publish high quality articles in all branches of statistics, probability, discrete mathematics, machine learning, and bioinformatics. We also especially welcome well written and up to date review articles on fundamental themes of statistics, probability, machine learning, and general biostatistics. Thoughtful letters to the editors, interesting problems in need of a solution, and short notes carrying an element of elegance or beauty are equally welcome.We want to serve as the broadest international platform for high quality research on every aspect of our field, traditional and cutting edge. The quality and the breadth of our editorial board reflects that singular priority.

This journal offers optional funded open access. Click here to read more...The Journal of Strain Analysis for Engineering Design provides a forum for work relating to the measurement and analysis of strain that is appropriate to engineering design and practice."Since launching in 1965, The Journal of Strain Analysis has been a collegiate effort, dedicated to providing exemplary service to our authors. We welcome contributions related to analytical, experimental, and numerical techniques for the analysis and/or measurement of stress and/or strain, or studies of relevant material properties and failure modes. Our international Editorial Board contains experts in all of these fields and is keen to encourage papers on novel techniques and innovative applications.".

The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on communications, signal processing, control systems, and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.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

The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including:• Cell Biology• Developmental Biology• Ecology• Evolution• Immunology• Infectious Diseases• Mathematical Modeling, Statistics, and Data Bases• Medical Sciences and Plant Pathology• Microbiology, Molecular Biology, and Biochemistry• PhysiologyPlease note that the biological significance of the problem being studied should be clearly stated.Acceptable papers are those that bear significant importance on the biology being presented, and not on the mathematical analysis, per se. Papers that include some data will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.Highly speculative papers not based on current biological knowledge will not be accepted. Also not acceptable are papers in which only mathematics is utilized, or standard statistical methods are applied to existing genomic data, without new theoretical perspective or biologically novel insight.Comment on theoretical issues or on papers published in the journal is welcomed in the form of Letters to the Editors.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

During the last 30 years Time Series Analysis has become one of the most important and widely used branches of Mathematical Statistics. Its fields of application range from neurophysiology to astrophysics and it covers such well-known areas as economic forecasting, study of biological data, control systems, signal processing and communications and vibrations engineering. The Journal of Time Series Analysis started in 1980, has since become the leading journal in its field, publishing papers on both fundamental theory and applications, as well as short communications on theoretical developments. The editorial board consists of many of the world's leading experts in Time Series Analysis.

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.

The Journal of the European Mathematical Society (JEMS) is the official journal of the EMS. The Society, founded in 1990, works at promoting joint scientific efforts between the many different structures that characterize European mathematics. JEMS will publish research articles in all active areas of pure and applied mathematics. These will be selected by a distinguished, international board of editors for their outstanding quality and interest, according to the highest international standards. Occasionally, substantial survey papers on topics of exceptional interest will also be published. Starting in 1999, the Journal has been published by Springer-Verlag until the end of 2003. Since 2004 it is published by the EMS Publishing House. The first Editor-in-Chief of the Journal was J. Jost, succeeded by H. Brezis in 2003.

Lifetime Data Analysis is the only journal dedicated to statistical methods and applications for lifetime data. The journal advances and promotes statistical science in various applied fields that deal with lifetime data, including actuarial science, economics, engineering, environmental sciences, management, medicine, operations research, public health, and social and behavioral sciences. A partial list of topics reflecting the broad range of interests covered in the journal includes accelerated failure time models, degradation processes, meta-analysis, models for multiple events, nonparametric estimation of survival functions, quality-of-life models, rank tests for comparing lifetime distributions, and reliability methods.Officially cited as: Lifetime Data Anal

Logica Universalis (LU) publishes peer-reviewed research papers related to universal features of logics. Topics include general tools and techniques for studying already existing logics and building new ones, the study of classes of logics, the scope of validity and the domain of application of fundamental theorems, and also philosophical and historical aspects of general concepts of logiC.
Bibliographic Data
Log. Univers.
First published in 2007
1 volume per year, 4 issues per volume
approx. 500 pages per volume
Format: 15.5 x 23.5 cm
ISSN 1661-8297 (print)
ISSN 1661-8300 (electronic)AMS Mathematical Citation Quotient (MCQ): 0.07 (2011)

The International Journal of Automation and Computing (IJAC) publishes papers on original theoretical and experimental research and development in automation and computing. The scope of the journal is extensive. Topics include but are not limited to: Artificial intelligence, Automatic control, Bio-informatics, Computer science, Information technology, Modelling and simulation, Networks and communications, Optimization and decision, Pattern recognition, Robotics, Signal processing, Systems engineering.