Journals in Mathematics

101-110 of 113 results in All results

Physics of Life Reviews

ISSN: 1571-0645
5 Year impact factor: 10.8
Impact factor: 11.7

Physics of Life Reviews is an international journal appearing quarterly, that publishes review articles on physics of living systems, complex phenomena in biological systems, and related fields of artificial life, robotics, mathematical bio-semiotics, and artificial intelligent systems. This journal is a unifying force, going across the barriers between disciplines, addressing all living systems from molecules to populations and from genetics to mind and artificial systems modeling these phenomena. The journal invites reviews from actively working researchers, which are broad in scope, critical, accessible to our wide readership and addresses sometimes controversial accounts of recent progress and problems. Physics of Life Reviews intends to keep the active researcher abreast of developments on a wide range of topics by publishing timely reviews, which are more than mere literature surveys but normally less than a full monograph. Although most of the reviews will be of a specialist nature, each review should contain enough introductory material to make the main points intelligible to a non-specialist and to inspire and facilitate interdisciplinary research. "Physics" in the journal name refers to the methodology unifying all areas of physics: (1) elucidating fundamental principles, (2) developing a mathematical model, (3) making experimentally verifiable predictions. We seek reviews aspiring to this universal paradigm. The reviews should address in a clear way the most important conceptual issues in a field, review existing theories and methods with their achievements and drawbacks or difficulties versus the issues, unsolved problems addressed by a new theory, method, or approach, and why a significant progress is achieved or expected. Future research directions, remaining unsolved problems, and experimental confirmations or controversies should also be addressed.

Results in Applied Mathematics

ISSN: 2590-0374
5 Year impact factor: 1.8
Impact factor: 2

Results in Applied Mathematics (RINAM) is a gold open access journal offering authors the opportunity to publish in all fundamental and interdisciplinary areas of applied mathematics. Results in Applied Mathematics accepts papers that are scientifically sound, technically correct and provide valuable new knowledge to the mathematics community. The journal also publish survey papers. However, survey papers will be considered only with prior approval from the editor-in-chief and should provide additional insights into the topic surveyed rather than a mere compilation of known results. Topics such as Numerical Methods for PDEs, Numerical Linear Algebra, Optimization, Stochastic Systems, Differential Equations, Mathematical Modelling, Imaging and Data Analysis are covered by the journal. Results in Applied Mathematics welcomes two types of papers: Full research papers Microarticles: very short papers, no longer than 6 pages. They may consist of a single, but well-described piece of information, such as: Data and/or a plot plus a description Description of a new method or instrumentation Negative results/counterexamples Concept or design study This article type will allow the 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.

Results in Control and Optimization

ISSN: 2666-7207

Results in Control and Optimization (RICO) is a gold open access journal offering authors the opportunity to publish in all fundamental and interdisciplinary areas of control and optimization enabling a safe and sustainable interconnected human society in a rapid way. Results in Control and Optimization accepts papers that are scientifically sound, technically correct and provide valuable new knowledge to both mathematics and engineering community. Theoretical work, experimental work or case studies are all welcome. The journal also publishes survey papers. However, survey papers will be considered only with prior approval from the editor-in-chief and should provide additional insights into the topic surveyed rather than a mere compilation of known results. Topics on well-studied classical control and optimization methods such as pole assignment and linear programming are not within the scope of the journal. Furthermore topics such as Artificial Intelligence (AI) and Reinforcement Learning (RL) are welcome. Re-publication of a paper from another language to English is acceptable, provided that there is full and prominent disclosure of its original source at the time of submission.

Spatial Statistics

ISSN: 2211-6753
5 Year impact factor: 2.5
Impact factor: 2.3

Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies and algorithms without methodological development are not acceptable for publication. Spatial Statistics concerns the quantitative analysis of spatial and spatio-temporal data, including their statistical dependencies, heterogeneity, accuracy and uncertainties. Methodology for spatial statistics is typically found in probability theory, stochastic modelling and mathematical statistics as well as in information and computer science. Spatial statistics is used in mapping, assessing spatial data quality, sampling design optimisation, modelling of spatial structures, and drawing of valid inference and causality from a limited set of spatio-temporal data. Application fields include: • The physical domains, e.g. environment, climate, agriculture, ecology, geosciences oceanography and remote sensing. • The social/economic domains, e.g. epidemiology, population characteristics, and disease mapping. Spatial Statistics encourages the submission of short communications and case studies in spatial statistics (i.e. manuscripts up to 3000 words presenting novel spatial statistical applications). Spatial Statistics aims to publish reproducible science. Authors are encouraged to submit and publish data, procedures, models and methods that support your research publication. It provides facilities to interlink those with your published articles. Spatial Statistics has an open attitude towards the latest developments in data science, deep learning and geoAI, as long as a substantial statistical component is present.

Statistics & Probability Letters

ISSN: 0167-7152
5 Year impact factor: 0.8
Impact factor: 0.8

Statistics & Probability Letters adopts a novel and highly innovative approach to the publication of research findings in statistics and probability. It features concise articles, rapid publication and broad coverage of the statistics and probability literature. Statistics & Probability Letters is a refereed journal. Articles will be limited to six journal pages (13 double-space typed pages) including references and figures. Apart from the six-page limitation, originality, quality and clarity will be the criteria for choosing the material to be published in Statistics & Probability Letters. Every attempt will be made to provide the first review of a submitted manuscript within three months of submission. The proliferation of literature and long publication delays have made it difficult for researchers and practitioners to keep up with new developments outside of, or even within, their specialization. The aim of Statistics & Probability Letters is to help to alleviate this problem. Concise communications (letters) allow readers to quickly and easily digest large amounts of material and to stay up-to-date with developments in all areas of statistics and probability. The mainstream of Letters will focus on new statistical methods, theoretical results, and innovative applications of statistics and probability to other scientific disciplines. Key results and central ideas must be presented in a clear and concise manner. These results may be part of a larger study that the author will submit at a later time as a full length paper to SPL or to another journal. Theory and methodology may be published with proofs omitted, or only sketched, but only if sufficient support material is provided so that the findings can be verified. Empirical and computational results that are of significant value will be published. We also plan to publish applications and case studies that demonstrate a novel use of existing techniques or have interesting innovative ideas about data collection, modelling or inference.

Stochastic Processes and their Applications

ISSN: 0304-4149
5 Year impact factor: 1.5
Impact factor: 1.4

An official journal of the Bernoulli Society for Mathematical Statistics and Probability. Stochastic Processes and their Applications is a mathematics journal that publishes papers on the theory and applications of stochastic processes. It is concerned with the following: concepts and techniques mathematically challenging questions in sciences and engineering. characterization, structural properties, limit theorems inference control of stochastic processes. The journal is exacting and scholarly in its standards. Every effort is made to promote innovation, vitality, and communication between disciplines. Submissions are anonymously peer-reviewed. 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.

Supply Chain Analytics

ISSN: 2949-8635

Firms from all industries operate within complex global supply chains since today's business activities are fragmented among many dispersed partners. These supply chains are fragile and exposed to various risks and threats, requiring advanced risk management and resilience competencies. Data is the lifeblood of a supply chain. Digitization and analytics are vital in monitoring real-time data, predicting future patterns, and quickly responding to unforeseen events. Supply chain analytics can help companies adapt in real-time to shifting customer demand caused by disruptions. Analytics can drive significant operational efficiencies by providing visibility into supply chains. Supply chain analytics collects, analyzes, and synthesizes data to provide insights into supply chain performance. Supply chain managers must use data and analytics to transform their supply chain into a robust and resilient supply chain and create more opportunities to remain competitive and diversified. Future supply chain managers should be digitally savvy. They will be storytellers with the skills to dig into the countless layers of supply chain data to transform data into insight and make informed decisions. The principal objective of Supply Chain Analytics is to provide state-of-the-art information for academic researchers, policymakers, and practitioners concerned with developing new methodologies and technologies to formulate and solve supply chain problems. The journal is a source of information for theoretical, empirical, and analytical research, real-world applications, and case studies in supply chain management and analytics. The journal covers: Descriptive supply chain analytics: applying statistical models to understand a supply chain's past and current data and display it with charts and graphs to answer questions about the current health of a supply chain. Descriptive analytics can show what has happened and what is happening by analyzing supply chain data for trends and patterns. Diagnostic supply chain analytics: providing supply chain managers with the tools and technologies to discover problems in supply chains. It uses in-depth data mining and correlation analysis to answer why something happens. Diagnostic analytics can be used to understand data anomalies and explain deviations from expectations and norms when paired with powerful visualization tools and technologies. Predictive supply chain analytics: focusing on the future. It applies complex forward-looking mathematical models such as artificial intelligence and machine learning to large amounts of historical data collected through descriptive analytics to help supply chain managers predict what will happen in the future. Prescriptive supply chain analytics: building on predictive and diagnostic analytics to compare scenarios, provide insight, and suggest alternative courses of action to supply chain managers. It uses sophisticated machine learning, optimization, and simulation methods and typically requires more data to anticipate various outcomes effectively and efficiently.

Systems & Control Letters

ISSN: 0167-6911
5 Year impact factor: 2.9
Impact factor: 2.6

Founded in 1981 by two of the pre-eminent control theorists, Roger Brockett and Jan Willems, Systems & Control Letters is one of the leading journals in the field of control theory. The aim of the journal is to allow dissemination of relatively concise but highly original contributions whose high initial quality enables a relatively rapid review process. All aspects of the fields of systems and control are covered, especially mathematically-oriented and theoretical papers that have a clear relevance to engineering, physical and biological sciences, and even economics. Application-oriented papers with sophisticated and rigorous mathematical elements are also welcome. Expressly excluded from SCL's scope are the following topics: fractional-order systems, designs employing fuzzy-neural network approximations, all but the most mathematically sophisticated embodiments of sliding-mode control, "dynamic surface control", adaptive control under unknown sign of high-frequency gain (Nussbaum gain algorithms), the so-called "multi-dimensional" systems (discrete-time/discrete-space systems inspired by image processing), all applications not entailing significant theoretical advances, and all papers with analytical developments not resulting in rigorous "theorem-proof" formulations of the results. Articles published in SCL rarely exceed 8-10 pages in Elsevier's two-column format. However, submission on topics of a technically demanding nature (for example, stochastic control, PDE control, etc.), where even concisely crafted proofs cannot fit into the said page limit, are also welcome, as long as their initial quality is high and permits editorial processing that typically takes no more than two rounds of review. (Initial quality refers to originality, relevance, correctness, clarity of exposition, and comprehensive awareness of literature in the paper's first draft.) Following the San Francisco Declaration on Research Assessment, signed by Elsevier and over 2,000 organizations and 16,000 researchers, authors of submissions to SCL should cite primary literature, in which observations are first reported, rather than limiting themselves to citing surveys and predominantly recent contributions. Additionally, geographically limited perspectives on the literature are not appropriate for submissions to a global journal like SCL. This policy aims for a proper attribution of credit, authors' adequate assessment of their own contributions, and those undertaking follow-up research effort not being misguided regarding the state of the art on a topic to which they will dedicate much time and their career hopes. The editors may reject an article containing such lapses, either after the deficiencies are not corrected to the editors' satisfaction upon being pointed out by editors or reviewers, or immediately upon submission if the deficiencies require a degree of editorial input that is more commonly associated with acting as a coauthor than as an editor or reviewer. 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

Topology and its Applications

ISSN: 0166-8641
5 Year impact factor: 0.5
Impact factor: 0.6

Topology and its Applications is primarily concerned with publishing original research papers of moderate length. However, a limited number of carefully selected survey or expository papers are also included. The mathematical focus of the journal is that suggested by the title: Research in Topology. It is felt that it is inadvisable to attempt a definitive description of topology as understood for this journal. Certainly the subject includes the algebraic, general, geometric, and set-theoretic facets of topology as well as areas of interactions between topology and other mathematical disciplines, e.g. topological algebra, topological dynamics, functional analysis, category theory. Since the roles of various aspects of topology continue to change, the non-specific delineation of topics serves to reflect the current state of research in topology. At regular intervals, the journal publishes a section entitled Open Problems in Topology, edited by J. van Mill and G.M. Reed. This is a status report on the 1100 problems listed in the book of the same name published by North-Holland in 1990, edited by van Mill and Reed. 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