Journal Guide

Comparative Clinical Pathology (previously Comparative Haematology International) provides a source for the publication of reviews, research reports, technical notes and case histories covering all aspects of haematology and clinical chemistry in any species. The journal addresses itself to all scientists with an interest in the field of comparative clinical pathology: research institutes, toxicology and pathology laboratories, medical and veterinary colleges and practises, zoological institutes, universities and teaching hospitals. Comparative Clinical Pathology publishes papers encompassing the total spectrum of comparative clinical pathology including: classical haematology and clinical chemistry, cellular and organ physiology and function, toxicology, immunology, cell kinetics, haemostasis, haematopoietic and other malignancies, immunodeficiency states, molecular biology, immunophenotyping, bone marrow transplantation, enzymology, endocrinology, cytokines, haematopoietic growth factors, evolutionary medicine, cellular lineage, rheology, functional identification and biomarkers. Articles can incorporate: normal values, abnormal reactions, human, veterinary and zoological data, diagnostic and toxicological changes, experimental studies (both in vivo and in vitro) and new technology and its impact on diagnosis and disease control.

Comparative European Politics (CEP) arises out of a unique editorial partnership linking political scientists in Europe and North America. CEP defines its scope broadly to include the comparative politics and political economy of the whole of contemporary Europe within and beyond the European Union, the processes of European integration and enlargement and the place of Europe and European states within international/global political and economic dynamics. As the most regionally integrated political and economic space within the global system, Europe presents a particular opportunity to political scientists to explore the dynamic relationship between transnational, international and domestic processes and practices. The editors welcome original theoretical, empirical and theoretically-informed pieces which deal with these relationships. Such issues pose awkward questions about the limitations of existing disciplinary perspectives and theoretical conventions, requiring theoretical and methodological innovation and an ability to develop genuinely interdisciplinary approaches. CEP aims to publish exceptional work prepared to rise to this challenge. The journal is rigorously peer-reviewed. It neither reflects nor represents any particular school or approach, nor does it restrict itself to particular methodologies or theoretical perspectives. Rather, whilst promoting interdisciplinarity and a greater dialogue between the various sub-disciplines of European political analysis, Comparative European Politics publishes the best and most original work in the field. It publishes substantial articles marking either core empirical developments, theoretical innovation or, preferably, both. The journal particularly encourages pieces which seek to develop the link between substantive empirical investigations and theoretical elaboration and those which transcend the artificial separation of domestic, comparative and international analysis. The editors publish a limited number of debate pieces and review articles related to issues of contemporary theoretical and empirical controversy. Whether solicited or unsolicited these are exposed to the same exacting process of peer review.

Migration, Sociology, Population Economics

Complex Adaptive Systems Modeling is a peer-reviewed open access journal published under the brand SpringerOpen.

Complex Adaptive Systems Modeling (CASM) is a highly multidisciplinary modeling and simulation journal that serves as a unique forum for original, high-quality peer-reviewed papers with a specific interest and scope limited to agent-based and complex network-based modeling paradigms for Complex Adaptive Systems (CAS). The highly multidisciplinary scope of CASM spans any domain of CAS. Possible areas of interest range from the Life Sciences (E.g. Biological Networks and agent-based models), Ecology (E.g. Agent-based/Individual-based models), Social Sciences (Agent-based simulation, Social Network Analysis), Scientometrics (E.g. Citation Networks) to large-scale Complex Adaptive COmmunicatiOn Networks and environmentS (CACOONS) such as Wireless Sensor Networks (WSN), Body Sensor Networks, Peer-to-Peer (P2P) networks, pervasive mobile networks, service oriented architecture, smart grid and the Internet of Things.In general, submitted papers should have the following key elements:-           A clear focus on a specific area of CAS E.g. ecology, social sciences, large scale communication networks, biological sciences etc.) -           Either focus on an agent-based simulation model or else a complex network model based on data from CAS (e.g. Citation networks, Gene regulatory Networks, Social networks, Ecological Networks etc.).

Complex Analysis and Operator Theory (CAOT) is devoted to the publication of current research developments in the closely related fields of complex analysis and operator theory as well as in applications to system theory, harmonic analysis, probability, statistics, learning theory, and other related fields. Articles using the theory of reproducing kernel spaces are in particular welcomed. CAOT is published in four regular and four sectional issues per year, the latter organised in two sections of two issues each. One section concentrates on Higher Dimensional Geometric Function Theory and Hypercomplex Analysis; the other focusses on Infinite-dimensional Analysis and Non-commutative Theory.   Bibliographic Data
Complex Anal. Oper. Theory
First published in 2007
1 volume per year, 6 issues per volume
approx. 1200 pages per volume
Format: 15.5 x 23.5 cm
ISSN 1661-8254 (print)
ISSN 1661-8262 (electronic)

AMS Mathematical Citation Quotient (MCQ): 0.56 (2011)

Astronomy; Astrophysics and Cosmology, Computational Mathematics and Numerical Analysis, Numeric Computing

computational complexity presents outstanding research in computational complexity. Its subject is at the interface between mathematics and theoretical computer science, with a clear mathematical profile and strictly mathematical format. The central topics are: Models of computation, complexity bounds (with particular emphasis on lower bounds), complexity classes, trade-off results

for sequential and parallel computationfor 'general' (Boolean) and 'structured' computation (e.g. decision trees, arithmetic circuits)for deterministic, probabilistic, and nondeterministic computationworst case and average caseSpecific areas of concentration include:

Structure of complexity classes (reductions, relativization questions, degrees, derandomization)Algebraic complexity (bilinear complexity, computations for polynomials, groups, algebras, and representations)Cryptography, interactive proofs, pseudorandom generation

Complexity issues in:
learning theorynumber theorylogic (complexity of logical theories

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