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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.

  • Computers & Mathematics with Applications

    • ISSN: 0898-1221
    Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).The following are the principal areas of interest of the journal: Modeling using PDEs.Analysis of mathematical models, formulated in terms of PDEs.Discretization Methods and Numerical Analysis for PDEs.Numerical linear and nonlinear algebra. Fast numerical algorithms.Algorithm... and Data Structures. Adaptivity. Computational Geometry.Software Design, Code verification and Quality Assurance (QA).Verification and Validation.
  • Online Social Networks and Media

    • ISSN: 2468-6964
    Online Social Networks and Media (OSNEM) are one of the most disruptive communication platforms of the last 15 years with high socio-economic value. Nowadays, OSNEM are regularly used by billions of users to interact, and they are key platforms for (among others) content and opinion dissemination, social and professional networking, recommendations, scouting, alerting, and political campaigns. The use of social technologies has become a sweeping cultural, social and economic phenomenon. Social platforms can exploit the "cognitive surplus" of our society for creating content and support collaboration.Moreov... the widespread diffusion of mobile personal devices (smartphones and tablets) is boosting the pervasive use of OSNEM services, as well as fostering the design of novel social networking services where users' mobility is one of the key features. OSNEM, thus, represent a challenging environment for computer scientists working in academia and industry, to develop innovative ideas, fostering the design of the new generation of communication platforms and their services. The pervasive penetration of OSNEM in our lives is having very significant impacts also on the type of OSNEM services and, more in general, on societal services. The digital footprints that people leaves in OSNEM provide a unique source to investigate and understand (by exploiting data mining and machine learning techniques) people's behavior (e.g., mobility patterns, opinions and interests spreading), and human relationships in the society. OSNEM can thus become a (social) microscope for understanding the human behavior both in the cyber and in the physical world and hence can be a powerful tool for investigating societal phenomena (the epidemics spreading, the terrorist networks, the diffusion of opinions, the pulse of a city, etc.) and develop innovative services.OSNEM is a peer-reviewed international journal that publishes high-quality scientific articles (both theoretical and experimental) and survey papers covering all aspects of OSNEM: from OSNEM protocols and applications to the use of data mined from OSNEM for modeling and understanding the human behavior in the cyber-physical world. It is a multidisciplinary journal for the wide community of computer and network scientists working on developing OSNEM platforms and services and using OSNEM as a big data source to mine, learn and model the (online) human behavior. The journal also welcomes contributions applying a wide range of (computer- and network-science) techniques and tools to OSNEM for investigating how social relationships affect other scientific fields, e.g., social and political sciences, economic and financial sciences, medical sciences.Topics include, but are not limited to:OSNEM platforms, protocols and applications;Decentr... mobile and location-based OSNEM;Trust, reputation, privacy and security in OSNEM;Dynamics of trends, information and opinion diffusion in OSNEM;Recommendation... and advertising in OSNEM;Measurement, analysis and modeling of popular online social networks (Facebook, Twitter, Instagram, Flickr, etc.);Data mining, and machine learning in OSNEM systems;Social media analysis and social analytics;Informatio... extraction and search in OSNEM;Complex-networ... analysis of OSNEM;Measurement, analysis and modeling of social behavior through OSNEM data;Analysis of the use of OSNEM in the urban context;Crowdsourcin... and online social networks;Multidiscip... applications of OSNEM (economics, medicine, society, politics, homeland security, etc.).
  • Pattern Recognition Letters

    • ISSN: 0167-8655
    An official publication of the International Association for Pattern RecognitionPattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition. Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:• Statistical, structural, syntactic pattern recognition; • Neural networks, machine learning, data mining; • Discrete geometry, algebraic, graph-based techniques for pattern recognition; • Signal analysis, image coding and processing, shape and texture analysis; • Computer vision, robotics, remote sensing; • Document processing, text and graphics recognition, digital libraries; • Speech recognition, music analysis, multimedia systems; • Natural language analysis, information retrieval; • Biometrics, biomedical pattern analysis and information systems; • Special hardware architectures, software packages for pattern recognition.We invite contributions as research reports or commentaries.Researc... reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications. Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.
  • Information Sciences

    • ISSN: 0020-0255
    Informatics and Computer Science Intelligent Systems Applications An International JournalInformation Sciences will publish original, innovative and creative research results. A smaller number of timely tutorial and surveying contributions will be published from time to time.The journal is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in information, knowledge engineering and intelligent systems. Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioural sciences and biochemistry.The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of Informations Sciences.Topics include:Foundations of Information Science: Information Theory, Mathematical Linguistics, Automata Theory, Cognitive Science, Theories of Qualitative Behaviour, Artificial Intelligence, Computational Intelligence, Soft Computing, Semiotics, Computational Biology and Bio-informatics.Impl... and Information Technology: Intelligent Systems, Genetic Algorithms and Modelling, Fuzzy Logic and Approximate Reasoning, Artificial Neural Networks, Expert and Decision Support Systems, Learning and Evolutionary Computing, Expert and Decision Support Systems, Learning and Evolutionary Computing, Biometrics, Moleculoid Nanocomputing, Self-adaptation and Self-organisational Systems, Data Engineering, Data Fusion, Information and Knowledge, Adaptive ad Supervisory Control, Discrete Event Systems, Symbolic / Numeric and Statistical Techniques, Perceptions and Pattern Recognition, Design of Algorithms, Software Design, Computer Systems and Architecture Evaluations and Tools, Human-Computer Interface, Computer Communication Networks and Modelling and Computing with WordsApplications: Manufacturing, Automation and Mobile Robots, Virtual Reality, Image Processing and Computer Vision Systems, Photonics Networks, Genomics and Bioinformatics, Brain Mapping, Language and Search Engine Design, User-friendly Man Machine Interface, Data Compression and Text Abstraction and Summarization, Virtual Reality, Finance and Economics Modelling and OptimisationEditors-... can be reached at the following:Professor Sabrina S. Senatore- [email protected]... Zheng Z. Yan- [email protected]...
  • Image and Vision Computing

    • ISSN: 0262-8856
    Image and Vision Computing has as a primary aim the provision of an effective medium of interchange for the results of high quality theoretical and applied research fundamental to all aspects of image interpretation and computer vision. The journal publishes work that proposes new image interpretation and computer vision methodology or addresses the application of such methods to real world scenes. It seeks to strengthen a deeper understanding in the discipline by encouraging the quantitative comparison and performance evaluation of the proposed methodology. The coverage includes: image interpretation, scene modelling, object recognition and tracking, shape analysis, monitoring and surveillance, active vision and robotic systems, SLAM, biologically-inspire... computer vision, motion analysis, stereo vision, document image understanding, character and handwritten text recognition, face and gesture recognition, biometrics, vision-based human-computer interaction, human activity and behavior understanding, data fusion from multiple sensor inputs, image databases.In addition to regular manuscripts, Image and Vision Computing Journal solicits manuscripts for the Opinions Column, aimed at initiating a free forum for vision researchers to express their opinions on past, current, or future successes and challenges in research and the community.An opinion paper should be succinct and focused on a particular topic. Addressing multiple related topics is also possible if this helps making the point. While posing questions helps raising awareness about certain issues, ideally, an opinion paper should also suggest a concrete direction how to address the issues. Topics of interest include, but are not limited to:Comments on success and challenges in a (sub-) field of computer vision,Remarks on new frontiers in computer visionObservations on current practices and trends in research, and suggestions for overcoming unsatisfying aspectsObservations on current practices and trends in the community regarding, e.g., reviewing process, organizing conferences, how journals are run, and suggestions for overcoming unsatisfying aspectsReviews of early seminal work that may have fallen out of fashionSummaries of the evolution of one's line of researchRecommendati... for educating new generations of vision researchers.The format of an opinion paper should comply with the existing formatting guidelines for the Image and Vision Computing Journal submissions, and should not exceed 2 pages.Months of publication: January/February, March, April, May, June, July/August, September, October, November and December.
  • Design Studies

    • ISSN: 0142-694X
    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
  • Big Data Research

    • ISSN: 2214-5796
    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.
  • Displays

    • ISSN: 0141-9382
    Displays is a peer reviewed international journal accepting technical, original research papers and tutorial papers dealing with display technologies and applications. The journal welcomes submissions in a wide range of display-related topics, including display technologies, materials, components, methods and systems, display-human interaction, processing and analysis of visual signals, and visual perception. The journal aims to provide a platform for the publication of top quality display-related research works with both academic and industrial appeal.Our dedicated editorial team will try their best to ensure a rapid reviewing process. The journal covers topics include, but not limited to, the following fields:Display-human Interaction• Visual signal processing and computer vision (CV) • Display-human/user interface design and analysis • Image/video quality assessment (IQA/VQA) and quality of experience (QoE) • Visual performance measurement and assessment • Visual perception and its cortical representation • Human factors and ergonomics for displaysDisplay Technology• Emissive/non-emissiv... displays • Flexible displays and E-papers • Materials/components and drive-electronics for displays • 3D displays and virtual/augmented/mi... reality (VR/AR/MR) • Auditory and tactile displays • Computational displays
  • Pattern Recognition

    • ISSN: 0031-3203
    Pattern Recognition is a mature but exciting and fast developing field, which underpins developments in cognate fields such as computer vision, image processing, text and document analysis and neural networks. It is closely akin to machine learning, and also finds applications in fast emerging areas such as biometrics, bioinformatics, multimedia data analysis and most recently data science. The journal Pattern Recognition was established some 50 years ago, as the field emerged in the early years of computer science. Over the intervening years it has expanded considerably.The journal accepts papers making original contributions to the theory, methodology and application of pattern recognition in any area, provided that the context of the work is both clearly explained and grounded in the pattern recognition literature. Papers whos primary concern falls outside the pattern recognition domain and which report routine applications of it using existing or well known methods, should be directed elsewhere. The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition. Submitted papers should be single column, double spaced, no less than 20 and no more than 35 (40 for a review) pages long, with numbered pages.
  • Information Processing Letters

    • ISSN: 0020-0190
    Devoted to the Rapid Publication of Short Contributions to Information ProcessingInformatio... Processing Letters invites submission of original research articles that focus on fundamental aspects of information processing and computing. This naturally includes work in the broadly understood field of theoretical computer science; although papers in all areas of scientific inquiry will be given consideration, provided that they describe research contributions credibly motivated by applications to computing and involve rigorous methodology. High quality experimental papers that address topics of sufficiently broad interest may also be considered.Since its inception in 1971, Information Processing Letters has served as a forum for timely dissemination of short, concise and focused research contributions. Continuing with this tradition, and to expedite the reviewing process, manuscripts are generally limited in length to nine pages when they appear in print.More detailed information about the topics of interest and submission format can be found in the Guide for Authors.