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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.

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Microelectronics Reliability

  • ISSN: 0026-2714
  • 5 Year impact factor: 1.6
  • Impact factor: 1.6
Microelectronics Reliability, is dedicated to disseminating the latest research results and related information on the reliability of microelectronic devices, circuits and systems, from materials, process and manufacturing, to design, testing and operation. The coverage of the journal includes the following topics: measurement, understanding and analysis; evaluation and prediction; modelling and simulation; methodologies and mitigation. Papers which combine reliability with other important areas of microelectronics engineering, such as design, fabrication, integration, testing, and field operation will also be welcome, and practical papers reporting case studies in the field and specific application domains are particularly encouraged.Most accepted papers will be published as Research Papers, describing significant advances and completed work. Papers reviewing important developing topics of general interest may be accepted for publication as Review Papers. All contributions are subject to peer review by leading experts in the field. Special issues are devoted to significant international conferences, or to important developing topics.Microelectronics Reliability is an indispensable forum for the exchange of knowledge and experience between microelectronics reliability professionals from both academic and industrial environments, and all those associated in any way with a steadily growing microelectronics industry and its many fields of application.
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Microelectronics Reliability

Microprocessors and Microsystems

  • ISSN: 0141-9331
  • 5 Year impact factor: 2
  • Impact factor: 1.9
Embedded Hardware Design Affiliated with EuromicroMicroprocessors and Microsystems: Embedded Hardware Design (MICPRO) is a journal covering all design and architectural aspects related to embedded systems hardware. This includes different embedded system hardware platforms ranging from custom hardware via reconfigurable systems and application specific processors to general purpose embedded processors. Special emphasis is put on novel complex embedded architectures, such as systems on chip (SoC), systems on a programmable/reconfigurable chip (SoPC) and multi-processor systems on a chip (MPSoC), as well as, their memory and communication methods and structures, such as network-on-chip (NoC).Design automation of such systems including methodologies, techniques, flows and tools for their design, as well as, novel designs of hardware components fall within the scope of this journal. Novel cyber-physical applications that use embedded systems are also central in this journal. While software is not in the main focus of this journal, methods of hardware/software co-design, as well as, application restructuring and mapping to embedded hardware platforms, that consider interplay between software and hardware components with emphasis on hardware, are also in the journal scope.
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Microprocessors and Microsystems

Nano Communication Networks

  • ISSN: 1878-7789
  • 5 Year impact factor: 2.5
  • Impact factor: 2.9
The Nano Communication Networks Journal is an international, archival and multi-disciplinary journal providing a publication vehicle for complete coverage of all topics of interest to those involved in all aspects of nanoscale communication and networking. Theoretical research contributions presenting new techniques, concepts or analyses; applied contributions reporting on experiences and experiments; and tutorial and survey manuscripts are published.Nano Communication Networks is a part of the COMNET (Computer Networks) family of journals within Elsevier. The family of journals covers all aspects of networking except nanonetworking, which is the scope of this journal. Created in 2010, NANOCOMNET has four planned issues per year. In early 2016, the journal has been accepted by Thompson Reuters to have SCIE/ISI status, matching the status of the rest of the COMNET family.Topics of interest include but are not limited to:Molecular Communication • Passive Molecular Communication systems, including short-range molecular diffusion, guided molecular diffusion (e.g. circulatory systems communications, microfluidic communications), ion signaling, and pheromone communications. • Active Molecular Communication systems, such as molecular motors, bacteria-based nanonetworks. • Brain networks, neural circuits and nervous systems communications. • Synthetic biology for Molecular Communication development.Electromagnetic Nanoscale Communication • Plasmonic and nanophotonic devices for THz and optical communication based on nanomaterials (e.g., graphene) and metamaterials, including compact signal sources, modulators/demodulators, detectors and antennas and antenna arrays. • Ultra-broadband and Terahertz communications, with applications at the nano-, micro- and macro-scales. • Nanophotonic wired and wireless communications at infra-red, visible and ultra-violet spectrum ranges.Other nanoscale communication paradigms • Nano Communication for bio-therapeutic devices. • Quantum communications. • Ultrasonic communications.Nano communication engineering and networking • Architectures and systems for Nano Communications. • Propagation and channel modeling for Nano Communications. • Information Theory of Nano Communications. • Communication protocols for Nano networks. • Security in Nano Communications. • Energy models for Nano Communications. • Software-Defined Nanonetworks.Nano Communication experimental and simulation platforms • Tools for modeling and simulating Nano Communication Networks. • Wet lab experimental platforms for Molecular Communications. • New fabrication and assembly techniques for Electromagnetic nanoscale devices. • Synthetic Biology toolsets for engineering Molecular Communications (e.g. Openwetware, CRISPR).Applications of Nano Communications and networks • Internet of Nano Things and the Internet of Bio-Nano Things. • Network on Chip including RF and optical interconnects, as well as network architectures and topologies. • Nano-Sensor and Nano-Actuator Networks. • Nanomedicine applications: disease localization, targeted drug delivery, tissue engineering.
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Nano Communication Networks

Neural Networks

  • ISSN: 0893-6080
  • 5 Year impact factor: 7.9
  • Impact factor: 6
The Official Journal of the Asia-Pacific Neural Network Society, the International Neural Network Society & the Japanese Neural Network SocietyNeural Networks provides a forum for developing and nurturing an international community of scholars and practitioners who are interested in all aspects of neural networks, including deep learning and related approaches to artificial intelligence and machine learning. Neural Networks welcomes submissions that contribute to the full range of neural networks research, from cognitive modeling and computational neuroscience, through deep neural networks and mathematical analyses, to engineering and technological applications of systems that significantly use neural network concepts and learning techniques. This uniquely broad range facilitates the cross-fertilization of ideas between biological and technological studies and helps to foster the development of the interdisciplinary community that is interested in biologically-inspired artificial intelligence. Accordingly, the Neural Networks editorial board represents experts in fields including psychology, neurobiology, computer science, engineering, mathematics, and physics. The journal publishes articles, letters, and reviews, as well as letters to the editor, editorials, current events, and software surveys. Articles are published in one of four sections: learning systems, cognitive and neural science, mathematical and computational analysis, engineering and applications.Neural Networks is the archival journal of the world's three oldest neural modeling societies: the International Neural Network Society (INNS), the European Neural Network Society (ENNS), and the Japanese Neural Network Society (JNNS). A subscription to the journal is included with membership in each of these societies.Members of the societies listed as affiliated to the journal receive a 25% discount on Article Processing Charges when they publish an article in Neural Networks as an author - this will be detailed through the submission and production processes.International Neural Network Society (INNS) members can receive additional support with a further 25% contribution from the INNS towards their open access article processing charges for accepted papers. If you are an INNS member, please submit this web form to receive reimbursement for 25% of your open access article processing charges. You will be asked to submit a PDF copy of your acceptance and production email, as well as a Wire Transfer Form.
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Neural Networks

Neurocomputing

  • ISSN: 0925-2312
  • 5 Year impact factor: 5.5
  • Impact factor: 5.5
Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.NEW! Neurocomputing's Software Track allows you to expose your complete Software work to the community through a novel Publication format: the Original Software PublicationOverview:Neurocomputing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.Neurocomputing covers practical aspects with contributions on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).Neurocomputing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.Types of publications:Neurocomputing publishes reviews of literature about neurocomputing and affine fields.Neurocomputing reports on meetings, including, but not restricted to, conferences, workshops and seminars.NEW! The Neurocomputing Software TrackNeurocomputing Software Track publishes a new format, the Original Software Publication (OSP) to disseminate exiting and useful software in the areas of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition. We encourage high-quality original software submissions which contain non-trivial contributions in the above areas related to the implementations of algorithms, toolboxes, and real systems. The software must adhere to a recognized legal license, such as OSI approved licenses.Importantly, the software will be a full peer reviewed publication that is able to capture your software updates once they are released. To fully acknowledge the author's/developers work your software will be fully citable as an Original Software Publication, archived and indexed and available as a complete online "body of work" for other researchers and practitioners to discover.See the detailed Submission instructions, and more information about the process for academically publishing your Software: here
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Neurocomputing

New Ideas in Psychology

  • ISSN: 0732-118X
  • 5 Year impact factor: 2.5
  • Impact factor: 2.3
An International Journal of Innovative Theory in PsychologyNew Ideas in Psychology is a journal for theoretical psychology in its broadest sense. We are looking for new and seminal ideas, from within Psychology and from other fields that have something to bring to Psychology. We welcome presentations and criticisms of theory, of background metaphysics, and of fundamental issues of method, both empirical and conceptual. We put special emphasis on the need for informed discussion of psychological theories to be interdisciplinary. Empirical papers are accepted at New Ideas in Psychology, but only as long as they focus on conceptual issues and are theoretically creative. We are also open to comments or debate, interviews, and book reviews.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
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New Ideas in Psychology

Ocean Modelling

  • ISSN: 1463-5003
  • 5 Year impact factor: 3.4
  • Impact factor: 3.1
Ocean Modelling is an international journal that highlights the significant findings and breakthroughs in all aspects of ocean modelling research to support the advancement of ocean sciences.Ocean Modelling welcomes submissions in various forms of mechanism analysis, laboratory experiments, ocean model development, improvements and applications, as well as model-observation synergies. In particular, ocean model applications at different scales that aim at understanding the ocean and Earth system and its coupling to biological, geological and chemical systems are welcome. Special attention can be also given to interdisciplinary contributions focusing on interactions between physics, biology and chemistry, cross-scale processes, and machine learning.The journal publishes topics including:Models of ocean circulation, surface waves, tides and sea ice, marine ecosystems, biogeochemical processes, sediment processes, and coastal morphology.Earth system models, ocean-atmosphere coupled models, and climate models with a special emphasis on the role of the ocean.Innovative modelling, combined with observational, theoretical studies concerning physical and biogeochemical processes in different time and space scales.Technologies associated with ocean model development, (e.g., model framework, coupler, data assimilation, high-performance computing, and artificial intelligence).Simulation, prediction and response strategy of ocean and climate disasters like tsunamis, flooding, volcano eruptions, float stone, marine heat waves, oil spill movements, etc.Improved understanding of the variability in the ocean and its past, present and future role in the wider climate system using models and observations.Topical Collections will be envisaged for timely topics, related to ocean modelling, to promote key advances in specific research areas in ocean modelling and to bring together high-quality contributions in the collection's domain. Ocean Modelling welcome submissions to the 3 ongoing Topical Collections: Cross-Scale Processes in Ocean Modelling, Artificial Intelligence (AI) Methods and Applications for Ocean Modelling, Advancements in Earth System Modelling with Ocean Components.Ocean Modelling publishes 12 issues per year with 4 categories of articles, including:1. Research Papers form the core of the journal, with a typical length of 6000 words and a maximum of 10000 words.2. Reviews are between 8000 and 20000 words, on topics cross traditional lines.3. Short Communications are short research papers, with a typical length of 2000 words, and a maximum of 5000 words, 3 Figures or Tables.4. Perspective papers discuss about subjective positions, viewpoints or new concepts within less than 2000 words.
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Ocean Modelling

Optical Switching and Networking

  • ISSN: 1573-4277
  • 5 Year impact factor: 1.6
  • Impact factor: 1.9
A Computer Networks JournalOptical Switching and Networking (OSN) is an archival journal aiming to provide complete coverage of all topics of interest to those involved in the optical and high-speed opto-electronic networking areas. The editorial board is committed to providing detailed, constructive feedback to submitted papers, as well as a fast turn-around time.Optical Switching and Networking considers high-quality, original, and unpublished contributions addressing all aspects of optical and opto-electronic networks. Specific areas of interest include, but are not limited to:• Optical and Opto-Electronic Backbone, Metropolitan and Local Area Networks • Optical Data Center Networks • Elastic optical networks • Green Optical Networks • Software Defined Optical Networks • Novel Multi-layer Architectures and Protocols (Ethernet, Internet, Physical Layer) • Optical Networks for Interet of Things (IOT) • Home Networks, In-Vehicle Networks, and Other Short-Reach Networks • Optical Access Networks • Optical Data Center Interconnection Systems • Optical OFDM and coherent optical network systems • Free Space Optics (FSO) networks • Hybrid Fiber - Wireless Networks • Optical Satellite Networks • Visible Light Communication Networks • Optical Storage Networks • Optical Network Security • Optical Network Resiliance and Reliability • Control Plane Issues and Signaling Protocols • Optical Quality of Service (OQoS) and Impairment Monitoring • Optical Layer Anycast, Broadcast and Multicast • Optical Network Applications, Testbeds and Experimental Networks • Optical Network for Science and High Performance Computing Networks
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Optical Switching and Networking

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