Journals in Applied mathematics

Advances in Applied Mathematics

ISSN: 0196-8858
5 Year impact factor: 0.9
Impact factor: 1

Interdisciplinary in its coverage, Advances in Applied Mathematics is dedicated to the publication of original and survey articles on rigorous methods and results in applied mathematics. The journal features articles on discrete mathematics, discrete probability theory, theoretical statistics, mathematical biology and bioinformatics, applied commutative algebra and algebraic geometry, convexity theory, experimental mathematics, theoretical computer science, and other areas.Emphasizing papers that represent a substantial mathematical advance in their field, the journal is an excellent source of current information for mathematicians, computer scientists, applied mathematicians, physicists, statisticians, and biologists. Over the past ten years, Advances in Applied Mathematics has published research papers written by many of the foremost mathematicians of our time.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.This journal has an Open Archive. All published items, including research articles, have unrestricted access and will remain permanently free to read and download 48 months after publication. All papers in the Archive are subject to Elsevier's user license.If you require any further information or help, please visit our Support Center

Chaos, Solitons & Fractals: X

ISSN: 2590-0544

The interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex PhenomenaChaos, Solitons & Fractals: X offers authors with high-quality research who want to publish in a gold open access journal the opportunity to make their work immediately, permanently, and freely accessible.Chaos, Solitons & Fractals: X authors will pay an article publishing charge (APC), have a choice of license options, and retain copyright.Please check the APC on the journal home page. The journal is indexed in Scopus.Chaos, Solitons & Fractals: X aims to be a leading journal in the interdisciplinary field of Nonlinear Science. It encourages the submission of articles containing results which have a significant impact on the following subjects: dynamics; non-equilibrium processes in physics; complex matter and networks; computational biology; fluctuations and random processes; self-organization; social phenomena; technology.The journal can only accept papers whose primary subject area lies within the above Aims & Scope. In particular, please take notice of the following:In order to be acceptable, manuscripts of more mathematical nature should at least attempt a connection to physical insight or new qualitative features. The word "Solitons" should be understood as a label especially extended to all nonlinear integrable systems in complex natural phenomena. The paper should not bear on some explicit formulae, some standard solutions, constructions, or asymptotic methods.The journal is interested in articles providing strong insights in the mathematical theory of fractals that play an important role either in understanding the general theory or are profound for an important particular application, especially in complex systems. Numerical computations should only assist the developed results. Also welcome are the discovery of new fractals that are crucial for important applications.The subject listing is specified further in the journal's classification list. Authors are required to specify matching classifications upon submission of their work.Authors are encouraged to link to their data posted in a repository or uploaded to Mendeley Data.Authors can submit separate research elements describing their data to Data in Brief and software to Software X.

Communications in Nonlinear Science and Numerical Simulation

ISSN: 1007-5704
5 Year impact factor: 3.3
Impact factor: 3.4

Aims:The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science.The submission of manuscripts with cross-disciplinary approaches in nonlinear science is particularly encouraged.Topics of interest:High-dimensional Chaos, Turbulence (fluid mechanics, plasma physics, magnetohydrodynamics, nonlinear internal and surface waves, pattern formation and selection, non-Newtonian fluid flows)Hamiltonian Systems and Applications (atomic and molecular physics, accelerator physics, chemical physics, celestial mechanics and astronomy, plasma physics)Time-Series and Signal Analysis, Experimental Methods and Measurements (methods for signal analysis, models in economics and finance, laboratory experiments)Biological Physics (ecology and environmental science, climate modeling, bioengineering, biomechanics, biological data, neuronal systems, cardiac dynamics, haemodynamics, epidemic models and dynamics of infectious diseases, experimental and theoretical analysis in life sciences)Complexity and Networks (neural networks, complex network, engineering oriented complex systems, artificial intelligence and machine learning, sociophysics)Synchronization, Lyapunov Analysis and Control (Lyapunov theory in dynamical systems, synchronization in complex systems, optimization and control)Nonlinear Mechanical Systems (MEMS and NEMS devices, continuous mechanics of solids, robotics, viscoelasticity and plasticity, energy production, conversion and storage, acoustics, nonlinear vibrations, nonlinear acoustics, porous media, granular matter)Bifurcations, Attractors and ChaosComputational Methods (modeling, analysis and simulations, numerical methods for ordinary and partial differential equations, symbolic computational methods)Analytical Methods (exact solutions for nonlinear differential equations, asymptotic methods in nonlinear dynamics, Lie group analysis, integrable systems and solitons, symbolic dynamics)Discrete, Stochastic and Hybrid Dynamics (discontinuous dynamical systems, hybrid systems, stochastic processes)Fractional Dynamics (fractional dynamics and control, fractional calculus)No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Short Communications. Discussions of previously published papers are welcome.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

Communications in Nonlinear Science and Numerical Simulation

Decision Analytics Journal

ISSN: 2772-6622

Decision Analytics Journal is a forum for the exchange of research findings, analysis, information, and knowledge in organizations on areas that include but are not limited to:Predictive Modelling - Decision Analytics encourages research endeavors that identify organizational risks and opportunities by exploiting historical and transactional data patterns.Simulation Modelling - Decision Analytics promotes the application of simulation in organizational contexts to examine and compare options and scenarios before implementation.Optimization Modelling - Decision Analytics promotes research that can help decision-makers make the best choice using various optimization models.Prescriptive Methods - Decision Analytics invites research that supports the joint application of predictive models and optimization technology to create better solutions for decision-makers.Business Intelligence - Decision Analytics invites research utilizing the latest artificial intelligence, machine learning, data mining, and performance management techniques to help decision-makers gain and sustain a competitive edge.The journal views an organization as a group of people who come together to achieve a common goal or purpose. It typically has a structured framework, defining roles, responsibilities, and authority to guide the collective effort toward its objectives. Organizations can take various forms, including businesses (profit-driven entities like corporations), nonprofits (charitable entities like social service agencies), government (public service agencies), societies (groups with shared interests), educational institutions (schools and universities), and healthcare (hospitals, clinics, pharmacies, health insurance providers) among others. Decision Analytics Journal is comprised of four Departments:The Descriptive Analytics Department handles manuscripts and studies that answer what happened by analyzing historical data and extracting hindsight about the past without explaining why.The Diagnostic Analytics Department handles manuscripts and studies that answer why something happened by measuring historical data against other data (i.e., benchmarks) and extracting insight into the present.The Predictive Analytics Department handles manuscripts and studies that answer what will happen using descriptive and diagnostic analytics findings to provide foresight for the future.The Prescriptive Analytics Department handles manuscripts and studies that answer what to do using descriptive, diagnostic, and predictive analytics findings and prescribe for the future to eliminate a problem or take advantage of a promising trend.

Expositiones Mathematicae

ISSN: 0723-0869
5 Year impact factor: 0.9
Impact factor: 0.8

This journal publishes articles in English, French or German in all branches of mathematics under the headings “Survey Articles”, "Main Research Articles" and "Short Research Notes". Survey articles - are expositions on contemporary mathematical research written in a way that a research student or a mathematician who may not be an expert on the topic can read them profitably. There is no page limit for survey articles.Main research articles - must contain significant new results, provide enough background information on the research topic and make high level research accessible to a broad audience. Main research articles are expected to have at least fifteen pages. Short research notes - can be slightly higher-level research on a specialized topic and are expected to contain ten or fewer pages. Clarity of exposition, accuracy of the details, quality of research results, and the relevance and interest of the subject matter will be the decisive factors in our acceptance for publication of an article.

Healthcare Analytics

ISSN: 2772-4425

Healthcare Analytics is an interdisciplinary journal promoting the application of data science, business analytics, information technology, operations research, statistics, simulation, optimization, and mathematical modeling to decision-making and problem-solving in healthcare organizations within the private and public sectors. The principal objective of Healthcare Analytics is to provide state-of-the-art information for academic researchers, policy-makers, and practitioners concerned with developing new methodologies, tools, and technologies to formulate and solve operational, tactical, and strategic problems in healthcare organizations. The journal views a healthcare organization as an entity that provides medical services, health-related support, or medical care to individuals or communities. These organizations are structured to deliver a wide range of services to promote, maintain, or restore health. Healthcare organizations can vary in size, scope, and purpose and can be classified into different types based on their function, ownership, and services. A healthcare organization can be a hospital (providing a broad range of medical services, including emergency care, surgeries, inpatient treatment, and specialized care), a clinic (offering outpatient services, preventive care, and treatment for non-emergency conditions), a nursing home (providing long-term care for elderly or disabled individuals who need help with daily activities), a home healthcare agency (offering medical care and assistance to patients in their homes), a public health organization (focusing on population health through disease prevention, health education, and community health initiatives), a health maintenance organization (managing healthcare services through a network of providers with a focus on preventive care), an urgent care center (providing immediate care for non-life-threatening conditions), a rehabilitation center (focusing on helping patients recover from injuries, surgeries, or illnesses), a clinical or hospital laboratory (performing blood tests, pathology, microbiology, and biochemistry analysis), a pharmaceutical or biotech laboratory (developing and testing new drugs and treatments or new medical equipment and devices), a public health laboratory (focusing on disease surveillance, testing for infectious diseases, and managing public health emergencies), an environmental health laboratory (analyzing samples related to environmental factors, such as water, air, and soil quality), or health research centers (such as academic medical centers, national research institutes, government-funded institutions, non-governmental research centers, or private companies or foundations) among others.Healthcare Analytics is comprised of four Departments:The Descriptive Analytics Department handles manuscripts and studies that answer what happened by analyzing historical data and extracting hindsight about the past without explaining why.The Diagnostic Analytics Department handles manuscripts and studies that answer why something happened by measuring historical data against other data (i.e., benchmarks) and extracting insight into the present.The Predictive Analytics Department handles manuscripts and studies that answer what will happen using descriptive and diagnostic analytics findings to provide foresight for the future.The Prescriptive Analytics Department handles manuscripts and studies that answer what to do using descriptive, diagnostic, and predictive analytics findings and prescribe for the future to eliminate a problem or take advantage of a promising trend.The journal is a source of information for theoretical, empirical, and analytical research and real-world applications and case studies in healthcare analytics and informatics.

Journal of Computational Algebra

ISSN: 2772-8277

The Journal of Computational Algebra publishes novel research about computation in, and with, algebraic or discrete structures, such that both mathematics and algorithms contribute to the new result. This includes:Description and design of new algorithms for calculations in algebraic structures, and analysis of such algorithms.New and interesting mathematical results, such as classifications or the resolving of open conjectures, that have been obtained through computation, going beyond the application of standard methods or standard use of existing implementations.Algorithms for concrete (real-world) applications, that use or build on algebraic or discrete structures.Survey articles that describe algorithmic methods within the scope of the journal, which have not been properly described in the scientific literature.Results obtained are expected to be mathematically correct and to contain new mathematics and algorithmic approaches should go beyond a brute-force exhaustion of possibilities. Purely heuristic results, or results whose correctness cannot be established, would in general not be appropriate.While publicly available implementations, in particular if general purpose, are welcome, papers whose main contribution is a new implementation of existing algorithms, or whose focus or novelty is purely on the side of software engineering would similarly be not appropriate.The journal publishes Full-Length Research Articles, Review Articles and Short Communications.Short Communications, comprising not more than 5 pages (including references and examples), should contain new results of interest to the community, give sufficient references to place themselves in the context of the literature, include a justification (such as proofs or timings) and be meaningful without supplemental publications. They should not aim to give a comprehensive history of a problem, or present a full theoretical and practical analysis of a new method.Short Communications could, for example, be about:- Modifications to, or new strategies for, existing algorithms. - Improved analyses / justifications of known algorithms. - Utilization or combination of existing techniques or mathematical tools in a new context. This could include example calculations. - Pointing out (previously not observed) cases in which "standard" computational methods do not work well. - Presenting a concrete computational problem that has arisen in another area of mathematics, is not directly related to known problems and, so far, is lacking a fully satisfactory computational approach.

Journal of Computational Mathematics and Data Science

ISSN: 2772-4158

Journal of Computational Mathematics and Data Science (JCMDS) is a gold open access journal offering authors the opportunity to publish in all areas of computational mathematics and data science.Journal of Computational Mathematics and Data Science publishes high-quality papers (original, reviews, or letters) in all areas of modern computational mathematics. More specifically it publishes papers on the development of numerical methods, their theoretical analysis (convergence, complexity, accuracy, and stability), and their applications in sciences and engineering. The journal publishes also review (survey) papers. For survey papers a prior acceptance from the editor-in-chief is necessary. The emphasis of a review paper must be the presentation of new insights into a topic and not only a presentation of known results.Topics like Algorithmic game theory, Algorithmic information theory, Computational algebraic geometry, Computational complexity, Computational finance, Computational fluid dynamics, Computational Fractal Geometry, Computational linguistics, Computational number theory, Computational optimization, Computational science, Computational statistics, Computational topology, Computer algebra, and computer algebra systems, Computer simulation, Computing in biology and medicine, Control systems, Cryptography, Image processing, Machine learning and data mining, Mathematical economics, Numerical linear algebra, Numerical methods for PDEs, Operations research, Symbolic computing, and computer algebra are covered by the journal.Journal of Computational Mathematics and Data Science welcomes two types of papers:A) Full research papersB) Microarticles: short papers, no more than 6 pages. They may consist of a single, but well-presented piece of information, such as:Data and/or a plot plus a descriptionDescription of a new numerical/computational method or instrumentationConcept or design studyThis article type will allow the Computational Mathematics community to publish snippets of research that have not matured into a complete study and that have not found a publication home yet.All submitted manuscripts are fully peer-reviewed and after acceptance, a publication fee is charged to cover all editorial, production, and archiving costs. Accepted papers are freely accessible to anyone.

Mathematical Social Sciences

ISSN: 0165-4896
5 Year impact factor: 0.6
Impact factor: 0.5

The international, interdisciplinary journal Mathematical Social Sciences publishes original research articles, survey papers, short notes and book reviews. The journal emphasizes the unity of mathematical modelling in economics, psychology, political sciences, sociology and other social sciences.Topics of particular interest include the fundamental aspects of choice, information, and preferences (decision science) and of interaction (game theory and economic theory), the measurement of utility, welfare and inequality, the formal theories of justice and implementation, voting rules, cooperative games, fair division, cost allocation, bargaining, matching, social networks, and evolutionary and other dynamics models.Papers published by the journal are mathematically rigorous but no bounds, from above or from below, limits their technical level. All mathematical techniques may be used. The articles should be self-contained and readable by social scientists trained in mathematics.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

Partial Differential Equations in Applied Mathematics

ISSN: 2666-8181

Partial Differential Equations in Applied Mathematics provides a platform for the rapid circulation of original research in applied mathematics and applied sciences by utilizing partial differential equations and related techniques. Contributions on analytical and numerical approaches are both encouraged. All manuscripts should be written to be accessible to a broad scientific audience, who are interested in applied partial differential equations and their applications in physical and engineering sciences. The covered topics include, but are not limited to, inverse scattering transforms, initial and boundary value problems, the unified transform (Fokas method), Lie symmetry method, Hamiltonian theory, Darboux and Backlund transformations, Hirota bilinear method, Riemann-Hilbert problems, d-bar formalism, long-time asymptotes, etc. Papers dealing with mathematical modelling and analysis for traveling waves, solitons, lumps, rogue waves, breathers, optical solitons and non-smooth solitons are particularly welcome.

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