Journal Guide

Journal of Computational and Graphical Statistics works to improve and extend the use of computational and graphical methods in statistics and data analysis. Established in 1992, JCGS contains cutting-edge research, data, surveys, and more on numerical methods, graphical displays and methods, and perception. Articles are written for readers who have a strong background in statistics, but are not necessarily experts in computing.

The Journal of Engineering and Technology Management (JET-M) is an international scholarly refereed research journal which aims to promote the theory and practice of technology, innovation, and engineering management.The journal links engineering, science, and management disciplines. It addresses the issues involved in the planning, development, and implementation of technological capabilities to shape and accomplish the strategic and operational objectives of an organization. It covers not only R&D management, but also the entire spectrum of managerial concerns in technology-based organizations. This includes issues relating to new product development, human resource management, innovation process management, project management, technological fusion, marketing, technological forecasting and strategic planning.The journal provides an interface between technology and other corporate functions, such as R&D, marketing, manufacturing and administration. Its ultimate goal is to make a profound contribution to theory development, research and practice by serving as a leading forum for the publication of scholarly research on all aspects of technology, innovation, and engineering management.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

Journal of Enterprise Information Management publishes high quality articles of significant intellectual interest and commercial relevance to managers, consultants, academics and students operating within an information intense business driven enterprise.

Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster innovative research on systems science and information technology for environmental management. The journal aims to motivate and enhance the integration of environmental information and systems analysis to help develop management solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective.

The Journal of Forecasting is an international journal that publishes refereed papers on forecasting. It is multidisciplinary, welcoming papers dealing with any aspect of forecasting: theoretical, practical, computational and methodological. A broad interpretation of the topic is taken with approaches from various subject areas, such as statistics, economics, psychology, systems engineering and social sciences, all encouraged. Furthermore, the Journal welcomes a wide diversity of applications in such fields as business, government, technology and the environment. Of particular interest are papers dealing with modelling issues and the relationship of forecasting systems to decision-making processes. New concepts of modelling are especially encouraged as well as practical details of actual applications of particular models. Apart from research reports and review articles, other materials of interest that will be published include book reviews, software reviews, descriptions of data sources and notices of general interest.

JGOSS is a leading information resource in its field for researchers, industry decision makers, and public sector decision and policy makers, hence becoming the journal of choice for outsourcing industry specialists and researchers.

The Journal of Global Optimization publishes carefully refereed papers that deal with all theoretical, computational, and applied aspects of global optimization. Original research articles explore optimization in the widest sense, including nonlinear, stochastic and combinatorial programming, multi-objective programming, control, games, geometry, approximation, and algorithms for parallel architectures. In addition to papers covering theory and algorithms of global optimization, the journal publishes important papers on numerical experiments and applications in engineering, management, and the sciences. Of special note, readers will find thoughtful examinations of problems arising from applications. Apart from full-length articles, the journal features short communications on both open and solved global optimization problems. It also offers reviews of relevant books and special journal issues.

The Journal of Heuristics provides a forum for advancing the state-of-the-art in the theory and practical application of techniques for solving problems approximately that cannot be solved exactly. It fosters the development, understanding, and practical use of heuristic solution techniques for solving business, engineering, and societal problems. It considers the importance of theoretical, empirical, and experimental work related to the development of heuristics. The journal presents practical applications, theoretical developments, decision analysis models that consider issues of rational decision making with limited information, artificial intelligence-based heuristics applied to a wide variety of problems, learning paradigms, and computational experimentation. Officially cited as: J Heuristics

We are pleased to announce that an electronic submission and handling system, EES, has been implemented for Journal of Informetrics. This 'Elsevier Editorial System' (or EES) is a web-based system with full online submission, review and status update capabilities. EES allows you to upload files directly from your computer. This is all part of our ongoing efforts to improve the efficiency and accuracy of our editorial procedures and the quality and timeliness of the manuscripts published. EES can be accessed at: http://ees.elsevier.com/joi/ where first time users will have to register.Journal of Informetrics (JOI) publishes refereed articles on fundamental quantitative aspects of information science. The journal, although limited to -metrics aspects, has a broad scope: in principle, all quantitative analysis of original problems in information science are within the scope of JOI. Besides its generality, Journal of Informetrics focusses on papers describing fundamental methods and theories and/or universally important data, gathered in a non-trivial way. Fundamental methods comprise mathematical, probabilistic or statistical models and techniques as well as methods in operational research. These methods can serve the quantitative explanation of certain phenomena, evaluation of information and its producers as well as the management of libraries and other information centres.Journal of Informetrics has a special (though not exclusive) interest in inter- and multi-disciplinary papers, dealing with common aspects of (or possible differences between) several neighbouring disciplines such as quantitative linguistics, econometrics, biometrics and other -metrics fields. The aim is to lower the barriers between these fields, hence avoiding reformulation of similar problems, theories and solutions. Journal of Informetrics also welcomes certain papers from researchers who do not consider themselves as informetrists, for example research papers would be considered on the graph-theoretic description of networks.Journal of Informetrics also publishes papers that improve standardisation in informetrics. In general the journal aims to contribute to increasing the degree of "hardness" of the field, and to increase the degree of "exactness" of the scientific field of informetrics.The journal covers informetrics and considers it to comprise (or at least to include) fields such as bibliometrics, scientometrics, webometrics and cybermetrics. Specific topics can be described (non-exhaustively) as follows: informetric laws (including, but not exclusively: Lotka, Zipf, Bradford, Mandelbrot but also laws of growth and ageing or obsolescence) hereby also modelling generalised bibliographies, aspects of inequality or concentration (e.g. Lorenz theory) and diffusion, citation theory, linking theory, downloads, indicators (definitions and properties), evaluation techniques for scientific output (literature, persons) and for documentary systems (information retrieval) incl. ranking theory, library management, graph-theoretic and topological analysis of networks (incl. Internet, intranets, citation and collaboration networks), visualisation and mapping of science (persons, fields, institutes, topics,...).