Gallery — Academic Journal

Since 1926 the Journal of the London Mathematical Society has been publishing significant research, predominantly in pure mathematics. The Journal aims to publish papers which are of medium length, of high quality, are well-written and appeal to a broad mathematical audience. For more information about the journal, see http://jlms.oxfordjournals.org/.

International Mathematics Research Notices provides very fast publication of research articles of high current interest in all areas of mathematics. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics. For more information about the journal, see http://imrn.oxfordjournals.org/.

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. For more information about the journal, see http://imammb.oxfordjournals.org/.

The IMA Journal of Mathematical Control and Information is dedicated to developing solutions to the unsolved problems in control and information theory. For more information about the journal, see http://imamci.oxfordjournals.org/.

The IMA Journal of Management Mathematics, by Oxford University Press, publishes mathematics for management. The mission of this quarterly journal is to publish mathematical or, more broadly, quantitative research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling. For more information about the journal, see http://imaman.oxfordjournals.org/.

This sample is a guideline for preparing technical papers using LaTeX for manuscript submission for all Journals of OUP*. This sample article uses a class file named ouparticle.cls that authors should use for their manuscript preparation. It is similar in use to the article class file of LaTeX, but has some extra fields in the preamble and some extended commands for other parts of the article. *Note: this template is from 2009, and we recommend checking the latest author guidelines for your intended target OUP journal before starting to prepare your manuscript.

The aim of the Forestry journal, from Oxford University Press, is to publish high quality articles and reviews on all aspects of research, practice and policy that inform and promote the sustainable management of forests and trees. The journal is inclusive of all subjects, geographical zones and study locations, including trees in urban environments, plantations and natural forests. It welcome papers that consider economic, environmental and social factors and, in particular, studies that take an integrated approach to sustainable management. For more details about the journal, see http://forestry.oxfordjournals.org/.

This is a template for a book chapter for the Springer book "Advances in Intelligent Systems and Computing". The files are provided by Springer.

The Journal of Complex Networks, by Oxford University Press, publishes original articles and reviews with a significant contribution to the analysis and understanding of complex networks and its applications in diverse fields. Complex networks are loosely defined as networks with nontrivial topology and dynamics, which appear as the skeletons of complex systems in the real-world. The journal covers everything from the basic mathematical, physical and computational principles needed for studying complex networks to their applications leading to predictive models in molecular, biological, ecological, informational, engineering, social, technological and other systems. For more details about the journal see http://comnet.oxfordjournals.org/.