Journals in Physical sciences and engineering

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Composites Part A: Applied Science and Manufacturing

ISSN: 1359-835X
5 Year impact factor: 8.2
Impact factor: 8.1

Composites Part A: Applied Science and Manufacturing publishes original research papers, review articles, case studies, short communications and letters from a wide variety of sources dealing with all aspects of the science and technology of composite materials, including fibrous and particulate reinforcements in polymeric, metallic and ceramic matrices, and 'natural' composites. The range of applicable topics includes the properties, design and manufacture of reinforcing fibres and particles, novel architectures and concepts, multifunctional composites, advances in fabrication and processing of composite materials and structures, manufacturing science, process modelling, experimental mechanics, microstructural characterization of composites and their constituent phases, interfaces in composites, new approaches to prediction and measurement of mechanical, physical and chemical behaviour, and performance of composites in service. Articles are also welcomed on sustainable and economic aspects of composites. All articles are subject to rigorous peer review to ensure they make an important and novel contribution, and a high standard is set for both content and presentation. The Editors aim to conduct the review procedure with the minimum of delay so that prompt publication ensues.Review articles are welcome, however please see the Guide for authors for more information and if you want to discuss a topic with the Editor.Benefits to authors We 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 Center

Composites Part B: Engineering

ISSN: 1359-8368
5 Year impact factor: 11.1
Impact factor: 12.7

Composites Part B: Engineering publishes impactful research of high quality on composite materials, supported by fundamental mechanics and materials science and engineering approaches. Targeted research may cover a range of length scales from nano, over micro and meso to full product/structure level, with a focus on Engineering embracing high performance applications spanning from low volume/high cost to high volume/low cost composite development.The Journal aims to provide a forum for the prompt publication of original and high quality research, with emphasis on design, development, modelling, validation and manufacturing of engineering details and concepts. Basic research papers are welcomed as well as proposals for review articles. Authors are encouraged to address challenges across application areas, such as (but not limited to) aerospace, automotive and other surface transportation, energy (renewable applications encouraged), infrastructure, off-shore, maritime, health care technology, and recreational products.Current topics of key interest to the readers of the Journal include all aspects related to manufacturing, design, validation, characterisation/testing, performance, application and sustainability of composite materials, and including functional and smart composite materials, novel composite material concepts, and also biomimetics and bio-based composites.

Composites Science and Technology

ISSN: 0266-3538
5 Year impact factor: 8.1
Impact factor: 8.3

Composites Science and Technology publishes refereed original articles on the fundamental and applied science of composites. The focus of the journal is on polymeric matrix composites with reinforcements/fillers ranging from nano- to macro-scale. CSTE encourages manuscripts reporting unique, innovative contributions to the materials science, physics, chemistry and applied mechanics aspects of advanced composites.Besides traditional fiber reinforced composites, novel composites with significant potential for engineering applications are encouraged. These may include, but are not limited to, nanocomposites, bio-composites, green/eco composites, energy composites, and composites mimicking natural materials. Manuscripts dealing with multi-scale and multi-functional issues and performance as well as interdisciplinary approaches to the study of new generation composite materials are welcome. Analytical work should be validated (either experimental or numerical). Experimental work should include a modelling section (numerical, analytical) suitable to clarify and justify the results presented. The journal attracts papers on modelling of materials (at different scale, from nano to macro - not composite structures). Publication of manuscripts reporting routine processing, synthesis and property characterization are not a priority of CSTE.In order to expedite the handling of submissions, manuscripts will be given a preliminary review prior to the full reviewing process to evaluate their suitability for CSTE. General Review articles as well as Feature articles covering topics of major interests to the readers will be presented at regular intervals, but only by invitation of the Editors. CSTE does not accept short communications or letters. It is the aim of CSTE to play an effective role in the rapid dissemination of research findings in the ever-evolving field of composite materials.New: With each manuscript a supplementary Graphical Abstract is mandatory.https://www.elsevier.com/authors/journal-authors/graphical-abstract

Computational Biology and Chemistry

ISSN: 1476-9271
5 Year impact factor: 2.6
Impact factor: 2.6

Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.

Computational Geometry

ISSN: 0925-7721
5 Year impact factor: 0.5
Impact factor: 0.4

Theory and ApplicationsComputational Geometry is a forum for research in theoretical and applied aspects of computational geometry. The journal publishes fundamental research in all areas of the subject, as well as disseminating information on the applications, techniques, and use of computational geometry. Computational Geometry publishes articles on the design and analysis of geometric algorithms. All aspects of computational geometry are covered, including the numerical, graph theoretical, combinatorial and computational topology aspects. Also welcomed are computational geometry solutions to fundamental problems arising in computer graphics, pattern recognition, robotics, image processing, CAD-CAM, VLSI design and geographical information systems.Computational Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.Benefits to authors We 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 Center

Computational Materials Science

ISSN: 0927-0256
5 Year impact factor: 3.2
Impact factor: 3.1

The aim of the journal is to publish papers that advance the field of computational materials science through the application of modern computational methods alone or in conjunction with experimental techniques to discover new materials and investigate existing inorganic materials, such as metals, ceramics, composites, semiconductors, nanostructures, 2D materials, metamaterials, and organic materials, such as polymers, liquid crystals, surfactants, emulsions, and also hybrid materials combining both inorganic and organic components such as polymer nanocomposites, nanocrystal superlattices or surfactant nanoparticle mixtures.Papers that report on the development of new methods, enhancement of existing approaches or significant technical computational advances are of interest.Papers with a focus on simulations must contain new conceptual or computational advances. For example, molecular dynamics using standard force fields, ordinary techniques and reporting conventional average quantities will be rejected without review. Validation of non-first-principles methods and transferability of methods must be included as part of each submission. In-depth discussion of impact, physical properties, and motivation for the system under study is strongly recommended.Studies including experimental data are of interest, but they must address a relevant theoretical/computational question. Papers that are deemed to be primarily experimental with some supporting theory will be returned without review.Data-driven materials research and materials informatics has emerged as a powerful technique to complement traditional computational materials science. Consistent with established best practices in data science, it is important that data and code associated with materials informatics studies adhere to FAIR data principles by being Findable, Accessible, Interoperable, and Reusable. FAIR data access also ensures a robust peer review process where results can be reproduced by referees. In a few rare cases, some limitations may prevent the complete public sharing of code and data; for instance, when the data or code is subject to copyright or intellectual property. However, these cases should be rare and considered on a case-by-case basis.The scope of the journal includes:obtaining new or enhanced insights into material behavior, properties and phenomena,predicting structure-property relationships for new materials in conjunction with data informatics,novel capabilities of computational methods and algorithms, technical software and shareware, or cyberinfrastructures.Contributions are accepted in the form of critical reviews, articles, letters and perspectives. Occasional special issues will be organized around a particular theme and some of these will be guest edited.Not all topics that potentially fall under the category of computational materials science will be considered; to find out more please visit the Guide for Authors.Guide for Authors:Research articles will be assessed based on originality, uniqueness and scientific merit. Manuscripts with significant overlap with existing reported works are likely to be inadmissible. Not all topics that potentially fall under the category of computational materials science will be accepted. For example, submissions that emphasize small molecules or clusters, focus on the design of components for structural applications, describe performance of an electronic device, or characterize thermal or mass transport without extensive accompanying input and associated discussion from computational materials science methods are best suited for other specialized journals. Additionally, papers that focus on continuum mechanical responses of broad classes of materials are likely better suited for journals that specialize in the mechanics of materials. Papers on biomolecules, drugs, bone, or medical applications will not be considered. In addition, papers on materials such as asphalt, cement, concrete, and related materials will be rejected without review.

Computational Statistics & Data Analysis

ISSN: 0167-9473
5 Year impact factor: 1.7
Impact factor: 1.5

The Official Journal of the Network Computational and Methodological Statistics (CMStatistics) and the International Association of Statistical Computing (IASC)Computational Statistics and Data Analysis (CSDA), an Official Publication of the network Computational and Methodological Statistics (CMStatistics) and of the International Association for Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of four refereed sections which are divided into the following subject areas:I) Computational Statistics - Manuscripts dealing with:the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics, computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.II) Statistical Methodology for Data Analysis - Manuscripts dealing with: novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures. Statistical methodology includes, but not limited to: bootstrapping, classification techniques, clinical trials, data exploration, density estimation, design of experiments, pattern recognition/image analysis, parametric and nonparametric methods, statistical genetics, Bayesian modeling, outlier detection, robust procedures, cross-validation, functional data, fuzzy statistical analysis, mixture models, model selection and assessment, nonlinear models, partial least squares, latent variable models, structural equation models, supervised learning, signal extraction and filtering, time-series modelling, longitudinal analysis, multilevel analysis and quality control.III) Special Applications - Manuscripts at the interface of statistics and computing (e.g., comparison of statistical methodologies, computer-assisted instruction for statistics, simulation experiments). Advanced statistical analysis with real applications (social sciences, marketing, psychometrics, chemometrics, signal processing, medical statistics, environmentrics, statistical physics).IV) Statistical Data Science - The manuscripts concern with well-founded theoretical and applied data-driven research, with a significant computational or statistical methodological component for data analytics. Emphasis is given to comprehensive and reproducible research, including data-driven methodology, algorithms and software. This journal section serves as a complementary component to the network Computational and Methodological Statistics (CMStatistics).

Computational Statistics & Data Analysis

Computational and Theoretical Chemistry

ISSN: 2210-271X
5 Year impact factor: 2.3
Impact factor: 3

Computational and Theoretical Chemistry publishes high quality, original reports of significance in computational and theoretical chemistry including those that deal with problems of structure, properties, energetics, weak interactions, reaction mechanisms, catalysis, and reaction rates involving atoms, molecules, clusters, surfaces, and bulk matter. Reports on new algorithms and comprehensive assessments of existing ones, and applications to new types of problems are especially welcome. Manuscripts that apply standard methods to specific chemical problems and/or to specific molecules are appropriate if they report novel results for an important problem of high interest and/or if they are used to develop significant new insights.Benefits to authors We 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 Center

Computer Aided Geometric Design

ISSN: 0167-8396
5 Year impact factor: 1.5
Impact factor: 1.3

The journal Computer Aided Geometric Design is for researchers, scholars, and software developers dealing with mathematical and computational methods for the description of geometric objects as they arise in areas ranging from CAD/CAM to robotics and scientific visualization. The journal publishes original research papers, survey papers and with quick editorial decisions short communications of at most 3 pages. The primary objects of interest are curves, surfaces, and volumes such as splines (NURBS), meshes, subdivision surfaces as well as algorithms to generate, analyze, and manipulate them. This journal will report on new developments in CAGD and its applications, including but not restricted to the following:Mathematical and Geometric FoundationsCurve, Surface, and Volume generationCAGD applications in Numerical Analysis, Computational Geometry, Computer Graphics, or Computer VisionIndustrial, medical, and scientific applicationsThe aim is to collect and disseminate information on computer aided design in one journal. To provide the user community with methods and algorithms for representing curves and surfaces. To illustrate computer aided geometric design by means of interesting applications. To combine curve and surface methods with computer graphics. To explain scientific phenomena by means of computer graphics. To concentrate on the interaction between theory and application. To expose unsolved problems of the practice. To develop new methods in computer aided geometry.Software ImpactsWe invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications (OSP) which describe the application of the software to research and the published outputs.How to submit an article to Software Impacts: https://www.journals.elsevier.com/software-impacts/For more information contact us at: [email protected] to authors We 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 Center

Computer Communications

ISSN: 0140-3664
5 Year impact factor: 4.2
Impact factor: 4.5

The International Journal for the Computer and Telecommunications IndustryComputer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today's computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms.Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications. Topics include, but are not limited to:Internet of ThingsEdge/cloud computingGreen networkingMobile and ubiquitous networksTerrestrial and Non-terrestrial networksMobile network services and applicationsExperimental test-beds and research platformsAlgorithmic aspects of communication networksEmerging technologies for next generation networkFuture Internet architecture, protocols and servicesModeling, measurement, and simulation of computer communication networks

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