Journals in Computer science
Journals in Computer science
The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.
Big Data Research
The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.- ISSN: 2214-5796
Design Studies
Design Studies The Interdisciplinary Journal of Design ResearchMission Our mission at Design Studies is to foster contemporary discourse and discoveries in the field of design. We commit to transcend traditional disciplinary boundaries and champion inclusivity in academic contributions. We welcome submissions from a diverse spectrum of individuals and perspectives globally. We invite an engaged community of authors to advance design through research, scholarship and creative practice.Aims Design Studies is a leading international academic journal dedicated to the comprehensive examination and discourse of design.The editorial aim is to publish work that is relevant to a broad audience of researchers, educators, and practitioners. We welcome original scholarly research papers concerned with the process, perspectives and outcomes of designing in all its application areas. Insights into the process of design from experimental or empirical research, the design of objects, environments, and systems and their impacts on society and the environment, and critical theory and analysis should galvanize thought leadership and community.Design Studies fills a unique niche among design publications of its type by publishing articles that strike a balance between theoretical and practical modes of inquiry, to produce critical understandings of design practice and its effects in society through the following distinctive aims.Foster Interdisciplinary Design Discussions: Create a space for interdisciplinary discussions on fundamental design elements, including process, cognition, and philosophy, while emphasising research, theory, and innovative outcomes.Explore Design's Theoretical Evolution: Assess the history and future of design by examining its development and contributing to future practices, focusing on rigorous research approachesCritically Analyse Design Practices: Encourage critical evaluations of design methodologies and outcomes, including ethical, social, and environmental considerations.Embra... Diverse Design Contexts: Examine design within various cultural, socio-economic, organisational and political settings, highlighting its impact on social change, sustainability, and community empowerment.Expand the Design Conversation: Welcome a wide range of contributions, including practical case studies, theoretical explorations, and methodological critiques, to engage in a comprehensive design discourse.Scope Design Studies seeks to expand the boundaries of design knowledge and practice. We invite authors to submit papers that not only challenge traditional norms and methodologies but also promote a forward-thinking and inclusive dialogue within the design community. Our scope encompasses a wide range of design domains, including but not limited to engineering design, industrial design, product design, systems design, innovation, and current design thinking paradigms within the overarching research context.Design Studies welcomes articles on a wide range of topic areas across design's core facets centred on the main aims of the journal.Design Theory • Design Process • Philosophy of Design • Design Conceptualisations and Perspectives • Design ThinkingDesign Research and Methodology • Design Research Methods • Interdisciplinary Design Research • Co-DesignDesign Practice • Practice-led Design Research • Design Innovation • Design JusticeDesign Education • Design Pedagogy • Design Teaching and Learning • Design DialogueDesign Impact • Human Factors in Design • Design Manufacturing and Materials • Product Engineering • Design Sustainability- ISSN: 0142-694X
Theoretical Computer Science
Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.Any queries about submissions and peer review should be addressed to the TCS editorial office: tcseditorialoffice@e... published in Theoretical Computer Science are grouped in three sections according to their nature. The first section `Algorithms, automata, complexity and games' is devoted to the study of algorithms and their complexity using analytical, combinatorial or probabilistic methods. It includes the whole field of abstract complexity (i.e. all the results about the hierarchies that can be defined using Turing machines), the whole field of automata and language theory (including automata on infinite words and infinitary languages), the whole field of geometrical (graphic) applications and the whole field of measurement of system performance using statistical methods.The second section,`Logic, semantics and theory of programming', is devoted to formal methods to check properties of programs or implement formally described languages; it contains all papers dealing with semantics of sequential and parallel programming languages. All formal methods treating these problems are published in this section, including rewriting techniques, abstract data types, automatic theorem proving, calculi such as SCP or CCS, Petri nets, new logic calculi and developments in categorical methods.The third section, 'Natural Computing', is devoted to the study of computing occurring in nature and computing inspired by nature. In the rapidly evolving field of computer science, natural computing plays an important role as the catalyst for the synergy of human designed computing with the computing going on in nature. This synergy leads to a deeper and broader understanding of the nature of computation. Although natural computing is concerned also with experiments and applications, this section of Theoretical Computer Science is focused on the theoretical aspects of natural computing with clear relevance to computing. Among others, it will contain papers dealing with the theoretical issues in evolutionary computing, neural networks, molecular computing, and quantum computing.Theoretica... Computer Science will now publish high-quality advanced introductions. Advanced introductions, which are by invitation only, should cover a focused topic within the scope of TCS at a level that would be appropriate for a scientist who is new to the topic and wishes to gain an up-to-date understanding. Articles should be self-contained, including motivation and basic definitions, and proceed to advanced material and/or open problems which may - but need not - include new results. Sufficient references should be given to provide the reader with entry points to the research literature on the topic as well as the origins of the main ideas. Submissions will go through the standard review process of TCS.- ISSN: 0304-3975
Information Systems
Databases: Their Creation, Management and UtilizationInformati... systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. We welcome systems papers that focus on implementation considerations in massively parallel data management, fault tolerance, and special purpose hardware for data-intensive systems; theoretical papers that either break significant new ground or unify and extend existing algorithms for data-intensive applications; and manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, which present innovative, high-performance, and scalable solutions to data management problems for those domains.All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organizations are welcome. Theoretical papers should have a clear motivation from applications and clearly state which ideas have potentially wide applicability.Author... of selected articles that have been accepted for publication in Information Systems are invited by the EiCs to submit the experiment described in their papers for reproducibility validation. The resulting additional reproducibility paper is co-authored by the reproducibility reviewers and the authors of the original publication.As part of its commitment to reproducible science, Information Systems also welcomes experimental reproducible survey papers. Such submissions must: (i) apply a substantial portion of the different surveyed techniques to at least one existing benchmark and perhaps one or more new benchmarks, and (ii) be reproducible (the validation of reproducibility will result in a separate paper following the guidelines of our Reproducibility Editor).In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests. We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs.- ISSN: 0306-4379
Signal Processing
An International Journal, A publication of the European Association for Signal Processing (EURASIP)Signal Processing incorporates all aspects of the theory and practice of signal processing. It features original research work covering novel signal processing tools as well as tutorial and review articles with a focus on the signal processing issues. It is intended for a rapid dissemination of knowledge to engineers and scientists working in the research, development or practical application of signal processing.Subject areas covered by the journal include: Statistical Signal Processing;Detection and Estimation;Spectral Analysis and Filtering;Machine Learning for Signal Processing;Optimizat... methods for Signal Processing;Multi-dim... Signal Processing;Graph Signal Processing;Signal Processing over Networks;Signal Processing for Communications and networking;Biomedica... Signal Processing;Image and Video Processing;Audio and Acoustic Signal Processing;Multimedi... Signal Processing;Radar and Sonar Signal Processing;Remote Sensing;Data Science;Network Science;Software Developments and Open Source Initiatives;New Applications.Type of Contributions: The journal welcomes the following types of contributions.Origin... research articles: Research articles should not exceed 30 pages (single column, double spaced, including figures, tables and references) in length and must contain novel research within the scope of the journal.Review articles: Review articles are typically 30-60 pages (single column, double spaced, including figures tables and references) in length, and provide a comprehensive review on a scientific topic. They may be relatively broad in scope, thereby serving a tutorial function, or be quite specialized, aimed at researchers in the chosen field.Fast Communications: A Fast Communication is a short, self-contained article highlighting ongoing research, or reporting interesting possibly tentative ideas, or comments on previously published research. Such articles should not exceed 10 pages (single column, double spaced, including figures, tables and references) in length. The objective is to provide detailed, constructive feedback on submitted papers and publish high quality papers within a very short period of time.- ISSN: 0165-1684
Journal of Manufacturing Systems
Published by SMEThe Journal of Manufacturing Systems publishes state-of-the-art fundamental and applied research in manufacturing at systems level. Manufacturing systems are comprised of products, equipment, people, information, control and support functions for the economical and competitive development to satisfy market and societal needs.The aim of the Journal of Manufacturing Systems is to publish archival scholarly literature with the goal of advancing the state of the art in manufacturing systems and encouraging innovation in developing efficient, robust and sustainable manufacturing systems. Pertinent to the Journal is research that will impact emerging manufacturing systems from the equipment level to the extended enterprise. Challenges are addressed at the systems level within and across various scales including nano, micro and macro-scale manufacturing, as well as within and across broad sectors including aerospace, automotive, energy and medical device manufacturing.The scope of the Journal of Manufacturing Systems includes, but is not limited to, the following areas:Factory and production network design, process planning, assembly planning;Smart sensor networks, real-time monitoring, distributed system control;Human-machin... interaction, human-robot collaborative assembly, operator ergonomics;Virtual and augmented reality in manufacturing;Artifi... intelligence in manufacturing;Design and operation for sustainability, energy efficiency in production;Global and regional production networks, material handling, logistics;Mass customisation and personalisation, complexity management;Cyber-phy... production systems, big data analytics, industrial Internet;Systems issues related to additive and subtractive manufacturing, micro-electromechani... systems.Papers addressing related emerging topics are encouraged, and special-topic issues on emerging topics will be considered. Papers on manufacturing processes (additive, subtractive), modelling and simulation, shop-floor scheduling, diagnosis and prognosis, supply chain management, and resource optimisation, will generally be considered out of scope, as there are other more appropriate journals in these areas. The Journal of Manufacturing Systems is an official journal of Society of Manufacturing Engineers (SME), in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).- ISSN: 0278-6125
Cognitive Systems Research
Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed... in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Compute... Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies. Note that the journal does not publish clinical and medical papers. We also do not publish pure machine learning papers, e.g. studies proposing variants of classifiers or pure algorithmic improvements that bear no connection to cognitive systems research in the sense above.Additionally, Cognitive Systems Research plays a special role in fostering and promoting the 'BICA Challenge' to create a real-life computational equivalent of the human mind by devoting two special issues to BICA AI (Brain-Inspired Cognitive Architectures for Artificial Intelligence) related topics each year.- ISSN: 1389-0417
Journal of Information Security and Applications
Journal of Information Security and Applications (JISA) focuses on the original research and practice-driven applications with relevance to information security and applications. JISA provides a common linkage between a vibrant scientific and research community and industry professionals by offering a clear view on modern problems and challenges in information security, as well as identifying promising scientific and "best-practice" solutions. JISA issues offer a balance between original research work and innovative industrial approaches by internationally renowned information security experts and researchers.The international editorial board of JISA and its guest editors are committed to the highest scientific standards by implementing a strict peer-review policy for submitted articles. It will also regularly invite the best papers from renowned information security venues for publication in JISA.JISA issues are published quarterly with a strong emphasis for details and technical contributions, covering a wide range of advanced and latest information security topics, including new and emerging research directions and scientific vision while keeping the readers informed of the state-of-the-art security techniques, technologies and applications.Current JISA topicsAuthentication and access controlAnonymity and privacyCryptographic protectionDigital forensicsHuman factors in securityMultimedia securityNetwork and mobile securitySecurity management and policiesHardware and physical security- ISSN: 2214-2126
Future Generation Computer Systems
The International Journal of eScienceComputing infrastructures and systems are rapidly developing and so are novel ways to map, control and execute scientific applications which become more and more complex and collaborative. Computational and storage capabilities, databases, sensors, and people need true collaborative tools. Over the last years there has been a real explosion of new theory and technological progress supporting a better understanding of these wide-area, fully distributed sensing and computing systems. Big Data in all its guises require novel methods and infrastructures to register, analyze and distill meaning.FGCS aims to lead the way in advances in distributed systems, collaborative environments, high performance and high performance computing, Big Data on such infrastructures as grids, clouds and the Internet of Things (IoT).The Aims and Scope of FGCS cover new developments in:[1] Applications and application support:Novel applications for novel e-infrastructuresCom... workflow applicationsBig Data registration, processing and analysesProblem solving environments and virtual laboratoriesSemantic and knowledge based systemsCollaborative infrastructures and virtual organizationsMethods for high performance and high throughput computingUrgent computingScientific, industrial, social and educational implicationsEducatio... Methods and tools:Tools for infrastructure development and monitoringDistribute... dynamic resource management and schedulingInformatio... managementProtocols and emerging standardsMethods and tools for internet computingSecurity aspects[3] Theory:Process specification;Progra... and algorithm designTheoretical aspects of large scale communication and computationScaling and performance theoryProtocols and their verification- ISSN: 0167-739X
Physica D: Nonlinear Phenomena
Physica D (Nonlinear Phenomena) publishes research and review articles reporting on theoretical and experimental work, techniques, and ideas that advance the understanding of nonlinear phenomena. The scope of the journal encompasses mathematical methods for nonlinear systems including: wave motion, pattern formation and collective phenomena in physical, chemical and biological systems; hydrodynamics and turbulence; integrable and Hamiltonian systems; and data-driven dynamical systems. The journal encourages submissions in established and emerging application domains, for example applications of nonlinear science to artificial intelligence, robotics, control theory, complex networks, and social and economic dynamics.- ISSN: 0167-2789
