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.

Books Journals

91-100 of 108 results in All results

Optics & Laser Technology

ISSN: 0030-3992
5 Year impact factor: 4.4
Impact factor: 4.6

Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication.The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics •developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systemsThe Journal publishes and, from time to time commissions, review articles pertaining to important areas of optical and laser technology. Short communications and technical notes are also published. Short papers for rapid communication of important innovations or observations will receive fast-track treatment.Optics & Laser Technology aims to provide the widest possible coverage of world research and development in its chosen field.

Optics and Lasers in Engineering

ISSN: 0143-8166
5 Year impact factor: 4.2
Impact factor: 3.5

Optics and Lasers in Engineering aims at providing an international forum for the interchange of information on the development of optical techniques and laser technology in engineering. Emphasis is placed on contributions targeted at the practical use of methods and devices, the development and enhancement of solutions and new theoretical concepts for experimental methods.Optics and Lasers in Engineering reflects the main areas in which optical methods are being used and developed for an engineering environment. Manuscripts should offer clear evidence of novelty and significance. Papers focusing on parameter optimization or computational issues are not suitable. Similarly, papers focussed on an application rather than the optical method fall outside the journal's scope. The scope of the journal is defined to include the following:Optical Metrology Optical Methods for 3D visualization and virtual engineering Optical Techniques for Microsystems Imaging, Microscopy and Adaptive Optics Computational Imaging Laser methods in manufacturing Integrated optical and photonic sensors Optics and Photonics in Life Science Hyperspectral and spectroscopic methods Infrared and Terahertz techniques

Parallel Computing

ISSN: 0167-8191
5 Year impact factor: 1.3
Impact factor: 2

Systems & ApplicationsResearchers interested in submitting a special issue proposal should adhere to the Submission Guidelines.Parallel Computing is an international journal presenting the practical use of parallel computer systems, including high performance architecture, system software, programming systems and tools, and applications. Within this context the journal covers all aspects of high-end parallel computing from single homogeneous or heterogenous computing nodes to large-scale multi-node systems.Parallel Computing features original research work and review articles as well as novel or illustrative accounts of application experience with (and techniques for) the use of parallel computers. We also welcome studies reproducing prior publications that either confirm or disprove prior published results.Particular technical areas of interest include, but are not limited to:System software for parallel computer systems including programming languages (new languages as well as compilation techniques), operating systems (including middleware), and resource management (scheduling and load-balancing).Enabling software including debuggers, performance tools, and system and numeric libraries.General hardware (architecture) concepts, new technologies enabling the realization of such new concepts, and details of commercially available systemsSoftware engineering and productivity as it relates to parallel computingApplications (including scientific computing, deep learning, machine learning) or tool case studies demonstrating novel ways to achieve parallelismPerformance measurement results on state-of-the-art systemsApproaches to effectively utilize large-scale parallel computing including new algorithms or algorithm analysis with demonstrated relevance to real applications using existing or next generation parallel computer architectures.Parallel I/O systems both hardware and softwareNetworking technology for support of high-speed computing demonstrating the impact of high-speed computation on parallel applicationsBenefits 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

Pattern Recognition

ISSN: 0031-3203
5 Year impact factor: 7.6
Impact factor: 7.5

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.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

Pattern Recognition Letters

ISSN: 0167-8655
5 Year impact factor: 4.2
Impact factor: 3.9

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.Research 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.

Performance Evaluation

ISSN: 0166-5316
5 Year impact factor: 1.1
Impact factor: 1

Performance Evaluation is a leading journal in the area of modeling, measurement, and evaluation of performance aspects of computing and communication systems. As such, it aims to present a balanced and complete view of the entire field of performance evaluation. The journal audience encompasses academics, industrial researchers, and professional figures such as performance engineers, network managers, and computer system designers.The journal solicits from its audience papers that focus on one or more of the following dimensions: Define new performance evaluation tools, including measurement and monitoring tools as well as modeling and analytic techniquesProvide new insights into the performance of computing and communication systemsPresent novel control and learning methods for performance managementIntroduce new application areas where performance evaluation tools and methods can play an important role Contributions to the journal often focus on theoretical, methodological, or applied aspects of:Resource allocation (e.g., routing and flow control, bandwidth allocation, load-balancing, deployment,...System tuning, sizing and optimal configurationSystem reliability and dependabilityEnergy efficiency and energy harvestingSystem architecture design and implementation Application areas of interest include, but are not limited to, the following:Computer and communication networks (e.g., software-defined, wireless, cognitive radio, ad-hoc, quantum,...Data centersCloud, IoT, edge, and cyber-physical systemsSocial networks, social media, metaverseAI-based servicesBig data and storage systemsBlockchain and distributed ledgersAutonomous and self-organizing systemsEmbedded systems Commonly featured performance evaluation methods and techniques include:Stochastic models (e.g., queueing theory, mean-field models, stochastic geometry,...Data-driven methods (e.g., AI/machine learning, inference, statistical analysis, ...)Scheduling and load balancing theorySimulation methodsGame theory and pricingMeasurement techniques (e.g. software and hardware monitors) and workload characterization Note that the above lists are not all inclusive or restrictive and submissions with creative applications of performance evaluation tools outside of those above and/or applications outside of those above are also welcome.A variety of types of submissions are possible, primarily original work, tutorials & surveys.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

Pervasive and Mobile Computing

ISSN: 1574-1192
5 Year impact factor: 3.4
Impact factor: 3

Special Issue Proposal Note PMCJ exclusively reviews Special Issue proposal forms submitted here through the designated submission system. Proposals submitted via any other means will not be considered for review. For more information on how to prepare and submit a SI proposal please check https://www.elsevier.com/physical-sciences-and-engineering/computer-science/journals/how-to-prepare-a-special-issue-proposal.Aims and Scope As envisioned by Mark Weiser as early as 1991, pervasive computing systems and services have truly become integral to our daily lives. Tremendous advancements in a multitude of technologies ranging from personalized and embedded smart devices (e.g., smartphones, sensors, wearables, IoT) to ubiquitous connectivity through wireless mobile communications and cognitive networking infrastructures, to advanced computing techniques (including mobile edge/fog/cloud, data analytics and machine learning) and user-friendly middleware services and platforms have significantly contributed to the unprecedented advances in pervasive and mobile computing.Such cutting-edge pervasive technologies and paradigms have led to the convergence of cyber-physical-human systems with applications to smart environments (e.g., smart homes and cities, smart grid, smart transportation, smart health, smart agriculture) with the goal to improve human experience and quality of life without explicit awareness of the underlying communications and computing technologies. Additionally, the huge amount of (real-time) data collected via pervasive devices coupled with advanced data analytic, machine learning and AI (Artificial Intelligence) techniques for reliable prediction and decision-making are making breakthrough research in pervasive computing and applications, such as self-driving cars, predictive maintenance in the industry 4.0 environments, mobile recommendation systems, etc.The Pervasive and Mobile Computing Journal (PMC) is a high-impact, peer-reviewed technical journal that publishes high-quality scientific articles spanning theory and practice, and covering all aspects of pervasive and mobile computing and systems. Topics include, but not limited to: Pervasive Computing and Communications Architectures and ProtocolsPervasive, Mobile and Wearable Computing Systems and ServicesCyber-Physical Systems and Cyber-Physical-Human SystemsSmart Systems and Applications (smart homes, smart cities, smart manufacturing, smart transportation, smart grid, smart health, smart agriculture, etc.)Human-centric Intelligent SystemsCognitive ComputingTrustworthy AI in Pervasive SystemsMachine Learning and Deep Learning in Pervasive and Mobile ComputingFederated, Distributed and Embedded learning, Learning at-the-edge in Pervasive SystemsLearning on Streaming Data and Continual Learning in Pervasive and Mobile SystemsBig Data and Data Analytics in Pervasive Computing SystemsInternet of Things and Social Internet of ThingsInternet of People and Internet of VehiclesEdge, Fog, Mobile Cloud and Opportunistic Computing in Pervasive and Mobile SystemsEnabling Pervasive Communication Technologies (e.g., wireless LANs, cellular, hybrid, ad hoc and cognitive networks)Wireless Sensors Networks and RFID TechnologiesUrban Sensing and Mobile CrowdsensingParticipatory and Social SensingMachine-to-Machine and Device-to-Device CommunicationsPositioning, Localization and Tracking TechnologiesActivity Recognition and TrackingContext-aware ComputingLocation-based Services and ApplicationsPervasive Service Creation, Composition, Discovery, Management, and DeliveryHuman User Interfaces and Interaction ModelsTrust, Reliability, Security, and Privacy in Pervasive and Mobile Computing SystemsPerformance Evaluation of Pervasive and Mobile Computing Systems

Physica D: Nonlinear Phenomena

ISSN: 0167-2789
5 Year impact factor: 3.1
Impact factor: 2.7

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.

Robotics and Autonomous Systems

ISSN: 0921-8890
5 Year impact factor: 4.4
Impact factor: 4.3

Affiliated with the Intelligent Autonomous Systems (IAS) SocietyRobotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.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

Science of Computer Programming

ISSN: 0167-6423
5 Year impact factor: 1.1
Impact factor: 1.5

Methods of Software Design: Techniques and ApplicationsScience of Computer Programming is dedicated to the distribution, via publication of papers and software, of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues and aspects of industrial practice.The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including:Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software;Design, implementation and evaluation of programming languages;Programming environments, development tools, visualisation and animation;Management of the development process;Human factors in software, software for social interaction, software for social computing;Cyber physical systems, and software for the interaction between the physical and the machine;Software aspects of infrastructure services, system administration, and network management.Special emphasis is given to recent trends in software development, such as software architecture, component-based software development and web-based software engineering.SCP is divided into two tracks. These are: (1) Research papers and (2) Software.Research Papers Track These cover four lines of work: (1) Concepts and methodology, (2) Formal techniques, (3) Experimental software technology, (4) Descriptive software technology.Concepts and methodology is open for methodological, philosophical and sociological studies on all aspects of computer software production and usage, including ethics. Also short papers are allowed here, called viewpoints.Formal techniques emphasizes the development and the pragmatic application of formal and semi-formal techniques. Submissions that the editors consider mainly mathematical or theoretical in nature, with the preliminary consent of the authors, will formally be forwarded to the sister journal TCS.Experimental software technology is open for expositions on implementations of and experiments with novel programming languages, systems and methods.Descriptive software technology deals with observational studies of current software development practices, reporting on new languages, systems and methods, including survey reports on the various themes.Software Track SCP disseminates impactful and re-usable scientific software through Original Software Publications. The software track is open for papers describing new software tools of relevance to SCP under the strict condition that the source code of the tools is open. Moreover, the results should be reproducible and show general applicability. By means of the article type of Original Software Publications, versioned software product, corpora and datasets can enter the review process and get published. A copy of the 'accepted for publication' version of software will be copied to the journal's GitHub repository for indexing purposes. Go to the Science of Computer Programming GitHub repository.Special Issues: The Journal welcomes Special Issues within its Scope either resulting from conferences or workshops or from dedicated editorial efforts. There can be special issues for research papers or for software.

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