Journal Guide

Computational Economics, the official journal of the Society for Computational Economics, presents new research at the interface of computer science and economic and management science. Articles span the fields of symbolic information processing, numerical procedures, computational aspects of mathematical programming, hardware developments, operational research, artificial intelligence, user interfaces, database interfaces, and software research.Computational Economics also publishes state-of-the-art reports from invited authors, brief software reports, and critical reviews. Lastly, periodic special issues are devoted to in-depth studies of current topics of interest to the readership.

Officially cited as: Comput Econ

Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.

Computational Management Science is an international journal focusing on all computational aspects of management science. These include theoretical and empirical analysis of computational models: computational statistics: analysis and applications of constrained, unconstrained, robust, stochastic and combinatorial optimisation algorithms: dynamic models, such as dynamic programming and decision trees: new search tools and algorithms for global optimisation, modelling, learning and forecasting: models and tools of knowledge acquisition. The emphasis on computational paradigms is an intended feature of CMS, distinguishing it from more classical operations research journals.Officially cited as: Comput Manag Sci

Computational Mathematics and Mathematical Physics is a monthly journal of the Russian Academy of Sciences (RAS). It contains the English translations of papers published in the Zhurnal Vychislitel’noi Matematiki i Matematicheskoi Fiziki, which was founded in 1961 by Academician A. A. Dorodnitsyn. The Journal includes surveys and original papers on computational mathematics, computational methods of mathematical physics, informatics, and other mathematical sciences.

Computational Mathematics and Modeling focuses on important Russian contributions to computational mathematics that are useful to the applied scientist or engineer. This quarterly publication presents timely research articles by scientists from Moscow State University, an institution recognized worldwide for influential contributions to this subject. Numerical analysis, control theory, and the interplay of modeling and computational mathematics are among the featured topics.

Computational Mechanics reports original research in computational mechanics of enduring scholarly value. It focuses on areas that involve and enrich the rational application of mechanics, mathematics, and numerical methods in the practice of modern engineering. The journal investigates theoretical and computational methods and their rational applications. Areas covered include solid and structural mechanics, multi-body system dynamics, constitutive modeling, inelastic and finite deformation response, and structural control. The journal also covers fluid mechanics and fluid-structure interactions, biomechanics, free-surface and two-fluid flows, aerodynamics, fracture mechanics and structural integrity, multi-scale mechanics, particle and meshfree methods, transport phenomena, and heat transfer. Lastly, the journal publishes modern variational methods in mechanics in general.

CMFT is an international mathematics journal which publishes carefully selected original research papers in complex analysis (in a broad sense), and on applications or computational methods related to complex analysis. Survey articles of high standard and current interest can be considered for publication as well. Contributed papers should be written in English (exceptions in rare cases are tolerated), and in a lucid, expository style. Papers should not exceed 30 printed pages.

This journal publishes research on the analysis and development of computational algorithms and modeling technology for optimization. It examines algorithms either for general classes of optimization problems or for more specific applied problems, stochastic algorithms as well as deterministic algorithms. Computational Optimization and Applications covers a wide range of topics in optimization, including: large scale optimization, unconstrained optimization, constrained optimization, nondifferentiable optimization, combinatorial optimization, stochastic optimization, multiobjective optimization, and network optimization. It also covers linear programming, complexity theory, automatic differentiation, approximations and error analysis, parametric programming and sensitivity analysis, management science, and more. This peer-reviewed journal features both research and tutorial papers that provide theoretical analysis, along with carefully designed computational experiments.Officially cited as: Comput Optim Appl

Social networks, Social computing, Mathematics of social networks, Computational aspects of social networks, Therory of social computing

Computational Statistics (CompStat) is an international journal that fosters the publication of applications and methodological research in the field of computational statistics. The journal provides a forum for computer scientists, mathematicians, and statisticians working in a variety of areas in statistics, including biometrics, econometrics, data analysis, graphics, simulation, algorithms, knowledge-based systems, and Bayesian computing. CompStat papers emphasize the contribution to and influence of computing on statistics and vice versa. The journal also publishes hardware, software, and package reports as well as book reviews.Officially cited as: Comput Stat

Computational & Applied Mathematics began to be published in 1981. This journal was conceived as the main scientific publication of SBMAC (Brazilian Society of Computational and Applied Mathematics).   The objective of the journal is the publication of original research in Applied and Computational Mathematics, with interfaces in Physics, Engineering, Chemistry, Biology, Operations Research, Statistics, Social Sciences and Economy. The journal has the usual quality standards of scientific international journals and we aim high level of contributions in terms of originality, depth and relevance. CAM is currently reviewed in Mathematical Reviews and Institute of Scientific Information (Webofscience).  

Computational & Mathematical Organization Theory has been accepted for Social Sciences Citation Index, Science Citation Index Expanded, and Current Contents/Social & Behavioral Sciences, and will first appear with an Impact Factor in the Journal Citation Reports 2010, published in 2011. Computational & Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for inte

Computer Science – Research and Development (CSRD), formerly Informatik – Forschung und Entwicklung (IFE), is a quarterly international journal that publishes high-quality research and survey papers from the Software Engineering & Systems area and its adjacent disciplines, with inclusion of embedded systems, mobile systems, information systems, algorithm engineering, web engineering, ubiquitous computing, service-oriented architectures, model-driven architectures, process-oriented architectures and related topics. Also, contributions describing research in application areas as e.g. mechanical engineering, medical engineering and medical technology, traffic engineering and environmental technology are welcome. CSRD is oriented towards practical and also industrial applications since many developments in Computer Science, even those of a fundamental nature, are driven by practical considerations. Contributions from industry are very welcome. In general, two kinds of papers are published in CSRD: research papers presenting novel approaches and results, and survey papers summarizing current developments. CSRD continues the tradition of publishing special issues on selected topics in the field of Software Engineering & Systems. All papers are reviewed in a peer-review process. CSRD focuses on publishing in English while still accepting German papers for a transitional period.

Computer Supported Cooperative Work (CSCW) disseminates innovative research results and provides an interdisciplinary forum for the debate and exchange of ideas concerning theoretical, practical, technical, and social issues in CSCW. The journal encompasses the diverse nature of research within the field and its related areas. Coverage ranges from ethnographic studies of cooperative work to reports on the development of CSCW systems and their technological foundations.

Computing publishes original papers, short communications and surveys on all fields of computing. The contributions should be written in English and may be of theoretical or applied nature, the essential criteria are computational relevance and systematic foundation of results.
Subjects include
- autonomic, adaptive, dependable computing
- parallel computing
- services computing and cloud computing
- green computing
- internet computing
- business process computing
- software evolution and mining
- architectural concepts for systems
- network science, social networks, collective intelligence

Devoted to computational sciences - a field of a major and continually growing importance for both research and applications, this journal provides the ideal platform for scientists eager to cooperate in solving scientific and technological challenges. The aim is to link professionals from the diverse fields of mathematics computer science physics chemistry environmental sciences biosciences engineering. The rapid development of computer technology has opened up new perspectives, increased the importance of mathematical models and created an urgent need for efficient algorithms. Reflecting these trends, the journal has set itself the goal of publishing pioneering methods and applications which precipitate the solution of complex problems - or even make such solutions possible at all. Since visualization has become an important scientific tool, especially in the analysis of complex situations, it is treated in close connection with the other areas covered by the journal. These areas include: - mathematical modeling and analysis of model systems - numerical methods and algorithms - development of simulation software - optimization and control - parallel computing - visualization and image analysis - computational physics and chemistry - structural mechanics - fluid dynamics - environmental sciences - computation in biosciences and medicine - modeling and computation in engineering As well as publishing this exciting material in print form, Computing and Visualization in Science will also make the documents available to subscribers electonically via a server.