Journals in Systems and control

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International Journal of Industrial Ergonomics

ISSN: 0169-8141
5 Year impact factor: 2.9
Impact factor: 2.5

The journal publishes original contributions that add to our understanding of the role of humans in today's systems and the interactions thereof with various system components. The journal typically covers the following areas: industrial and occupational ergonomics, design of systems, tools and equipment, human performance measurement and modeling, human productivity, humans in technologically complex systems, and safety. The focus of the articles includes basic theoretical advances, applications, case studies, new methodologies and procedures; and empirical studies.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

International Journal of Industrial Ergonomics

International Journal of Machine Tools and Manufacture

ISSN: 0890-6955
5 Year impact factor: 11.7
Impact factor: 14

Design, Research & ApplicationThe International Journal of Machine Tools and Manufacture is devoted to advances in scientific understanding of essential mechanics of processes and machines applied to the manufacture of engineering components, mainly in metals, but also in composites, ceramics and other structural/functional materials. To this end coverage is given to a range of topics that includes:•Essential mechanics of processes involving material removal, accretion and deformation, in solid, semi-solid or particulate form •Significant scientific development of existing or new processes and machines •In-depth characterisation of workpiece materials (structure/surfaces) by advanced techniques (e.g. SEM, EDS, TEM, EBSD, AES, Raman spectroscopy) to reveal new phenomenological aspects that govern manufacturing processes •Tool design, utilisation and in-depth studies of failure mechanisms •Novel concepts of machine tools/fixtures/tool holders supported by modelling and demonstrations that are relevant to manufacturing processes within the journal's remit •Novel scientific contributions dealing with interactions between the machine tool, control system, software design and processes. •Studies of specific mechanisms governing niche processes (e.g. ultra-high precision, nano /atomic level manufacturing with either mechanical or non-mechanical "tools") •Novel approaches, supported by adequate in-depth scientific analysis, addressing emerging /breakthrough processes (e.g. bio-inspired manufacturing) and/or applications (e.g. ultra-high precision optics)The above list is not exhaustive and papers on other topics associated with process science/technology or manufacturing hardware are welcome. Significant and useful advance of the current state of knowledge is an essential factor and it is important that papers are presented in a manner that will be appreciated by both academics and practising engineers. It is unlikely that papers dealing with theory or modelling alone will be acceptable, unless a significant proven advance in scientific/technological knowledge is demonstrated. Likewise, papers in which the use of methodology predominates over technological advance would probably be rejected. Normally, multipart papers are not acceptable.

Internet of Things

ISSN: 2542-6605
5 Year impact factor: 6.2
Impact factor: 6

Engineering Cyber Physical Human Systems Internet of Things; Engineering Cyber Physical Human Systems is a comprehensive journal encouraging cross collaboration between researchers, engineers and practitioners in the field of IoT & Cyber Physical Human Systems. The journal offers a unique platform to exchange scientific information on the entire breadth of technology, science, and societal applications of the IoT.The journal will place a high priority on timely publication, and provide a home for high quality:Full Research papersSurvey PapersOpen Software and DataTutorials and best practicesCase studiesWhitepapersFurthermore, IOT is interested in publishing topical Special Issues on any aspect of IOT. Please submit your SI proposal for IOT through the Elsevier CSSI Portal. Detailed instructions could be found at: https://www.elsevier.com/physical-sciences-and-engineering/computer-science/journals/how-to-prepare-a-special-issue-proposalThe scope of IoT comprises four main blocks to cover the entire spectrum of the field. From Research to Technology, from Applications to their Consequences for life and society.Theory and fundamental research Research that addresses the core underlying scientific principles dealing with the analysis and algorithmics of "IoT ecosystem" as a multicomponent system with complex and dynamic dependences at large-scale, such as:New formal methods research to create abstractions, formalisms and semantics at IoT layer.Artificial Intelligence of Things (AIoT), Explainable Machine Learning for IoT, Intelligent Edge.Research on the unique IoT challenges in security, reliability and privacy.High-level policy languages for specifying permissible communication patterns.Software development, technology and engineering Key enabling IoT technologies related to sensors, actuators and machine intelligence. Development and deployment IoT tools and platforms to ensure security, reliability and efficiency, such as:Device software development, such as minimal operating systems.IoT in Cloud-to-thing-Continuum. Secure communication of IoT with other software layers from edge computing to the Cloud.IoT software designs, including addressing security at design phase.Best practices for IoT (software) development, test beds and quality assurance. Sensors and actuators; Remote Operations and Control; IoT and Digital Twins.Applications of IoT New Applications of connected products and/or connected business processes to create new business value and business models. We are looking for contributions, and lessons learned, from researchers applying IoT in various domains including but not limited to:Energy (smart grids, meters & appliances, renewable energy).Transportation and Critical Infrastructures (infrastructures, logistics, road and rail, shipping, aerospace, autonomous vehicles).Manufacturing & industry (smart design & smart manufacturing, advanced robotics; Robotic Process Automation).Business, marketing & finance (e-commerce, finance, advertising & media).Urban life (smart/cyber-cities, home automation, smart buildings).Behavioral Sciences, Well-being Society, Sustainable Digital Transformation.eLearning, Technology-Enhanced Learning, CSCL, Virtual Campuses, Education and Technology.Ecology (precision agriculture, dairy, fishing, wildlife management, water, climate & ecology).Medicine & healthcare (delivery & care systems, decision support, wearables).Nano IoT (personalized precision medicine, Biological IoT, Chemical IoT).Societal aspects of IoT Keeping humans in the loop is vital. Research in cyber-human systems that reflect human understanding and interaction with the physical world and (semi) autonomous systems.Societal, political and social impacts of the IoT.Ethics & (proposed) laws & regulations.IoT Governance.IoT Solutions for Pandemics, Disaster Management and Public Safety.Human Technology Interaction - at scale.Emerging standards and technology in human life.And, of course, hot issues, such as auditing, liability and social vulnerabilities.

Journal of Manufacturing Processes

ISSN: 1526-6125
5 Year impact factor: 6.2
Impact factor: 6.1

Published by SMEManufacturing is undergoing major transformation due to the unforeseen challenges arising from the current trend of miniaturization, the emergence of new materials and the growing interaction between biologists and engineers to learn more from nature and living objects.Traditionally, a "top-down" approach has been used in manufacturing. Recently, engineers and scientists have begun exploring "bottom-up" approaches for manufacturing today's highly complex products. Further, these emerging processes are aimed to improve process efficiency and product quality.The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.Papers relevant to the scope of JMP include, but are not limited to, the following areas:• Meso/micro/nano fabrication, including imprint lithography. • Advanced manufacturing processes, including mechanical, chemical and thermal processes. • Welding, joining and assembly at micro and macro scales. • Rapid prototyping, rapid manufacturing and repair, stereolithography and other 3-D fabrication techniques that can use optical projection. • Advanced embossing, casting, forming and molding processes at all scales. • Continuum and subcontinuum process modeling and simulation. • Manufacturing process monitoring, control and automation. • Tribology and wear issues relevant to manufacturing processes.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 CenterThe Journal of Manufacturing Processes (JMP) is an official journal of SME, in cooperation with the North American Manufacturing Research Institution of SME (NAMRI/SME).

Journal of Manufacturing Systems

ISSN: 0278-6125
5 Year impact factor: 11.3
Impact factor: 12.2

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, production, delivery and total lifecycle of products 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 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, scheduling;Smart sensor networks, real-time monitoring, distributed system control;Human-machine interaction, human-robot collaborative assembly, operator ergonomics;Multi-physics modelling, simulation and optimisation, virtual and augmented reality in manufacturing;Diagnosis and prognosis, predictive maintenance, lifecycle analysis, product-service systems;Design and operation for sustainability, energy efficiency in production and logistics;Global and regional production networks, material handling, logistics;Mass customisation and personalisation, complexity management;Cyber-physical production systems, big data analytics and machine learning, industrial Internet;Systems issues related to additive and subtractive manufacturing, micro-electromechanical systems.Papers addressing related emerging topics are encouraged, and special-topic issues on emerging topics will be considered. 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).

Journal of Process Control

ISSN: 0959-1524
5 Year impact factor: 3.6
Impact factor: 3.3

A journal of IFAC, the International Federation of Automatic ControlThis international journal covers the application of control theory, operations research, computer science and engineering principles to the solution of process control problems. In addition to the traditional chemical processing and manufacturing applications, the scope of process control problems involves a wide range of applications that includes energy processes, nano-technology, systems biology, bio-medical engineering, pharmaceutical processing technology, energy storage and conversion, smart grid, and data analytics among others.Papers on the theory in these areas will also be accepted provided the theoretical contribution is aimed at the application and the development of process control techniques.Topics covered include:• Control applications• Process monitoring• Plant-wide control• Process control systems• Control techniques and algorithms• Process modelling and simulation• Design methodsAdvanced design methods exclude well established and widely studied traditional design techniques such as PID tuning and its many variants. Applications in fields such as control of automotive engines, machinery and robotics are not deemed suitable unless a clear motivation for the relevance to process control is provided.For more details on the International Federation of Automatic Control (IFAC), access their home page.

Knowledge-Based Systems

ISSN: 0950-7051
5 Year impact factor: 7.4
Impact factor: 7.2

Knowledge-based Systems is an international and interdisciplinary journal in the field of artificial intelligence. The journal will publish original, innovative and creative research results in the field, and is designed to focus on research in knowledge-based and other artificial intelligence techniques-based systems with the following objectives and capabilities: to support human prediction and decision-making through data science and computation techniques; to provide a balanced coverage of both theory and practical study in the field; and to encourage new development and implementation of knowledge-based intelligence models, methods, systems, and software tools, with applications in business, government, education, engineering and healthcare.This journal's current leading topics are but not limited to:Machine learning theory, methodology and algorithmsData science theory, methodologies and techniquesKnowledge presentation and engineeringRecommender systems and E-service personalizationIntelligent decision support systems, prediction systems and warning systemsComputational Intelligence systemsData-driven optimizationCognitive interaction and brain–computer interfaceKnowledge-based computer vision techniquesSpecial Issue InstructionsKnowledge-based Systems (KBS), an international and interdisciplinary peer-reviewed academic journal in the field of artificial intelligence, welcomes the submission of special issues on timely topics within the scope of the journal. The main objectives of the journal to organize special issues are to bring together state-of-the-art and high-quality research works, to promote key advances in the science and applications in the important field of knowledge-based systems, and to drive emerging research topics and establish flagships in the field.How to submit your Special Issue proposal:Check the selection criteria below for a KBS special issue to make sure your proposal is relevant to the journal,Write your special issue proposal in the structure given below,Submit the special issue proposal to the Editor-in-Chief (EiC),The EiC and KBS special issue assessment panel will then review your proposal and reply with their decision.Guest Editors' Duty and Special Issue Process:After a special issue proposal is accepted by the journal, a call for papers can be formally distributed. All the papers submitted to the special issue will undergo a peer review process. Guest Editors will manage the process and ensure that the reviewing standards for Knowledge-Based Systems regular issues are maintained. A Managing Guest Editor, who will be responsible for distributing submissions to the other Guest Editors, will need to be nominated. After the Guest Editors make recommendations on each paper in the special issue, the EiC will make the final decisions of acceptance for publication. After all papers to be included in the Special Issue are accepted, the Guest Editors will be responsible for either preparing an Editorial (1–2 pages in length) or writing a field survey (5–10 pages in length), which will incorporate the selected papers and related literature relevant to the topic of the special issue.Reproducibility Badge Initiative and Software PublicationReproducibility Badge Initiative (RBI) is a collaboration with Code Ocean (CO), a cloud based computational reproducibility platform that helps the community by enabling sharing of code and data as a resource for non-commercial use. CO verifies the submitted code (and data) and certifies its reproducibility. Code submission will be verified by the Code Ocean team for computational reproducibility by making sure it runs, delivers results and it is self-contained. For more information please visit this help article. Note that an accepted paper will be published independently of the CO application outcome. However, if the paper receives the Reproducibility badge, it will be given additional exposure by having an attached R Badge, and by being citable at the CO website with a DOI.We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.For more information contact us at: [email protected]

Mechanism and Machine Theory

ISSN: 0094-114X
5 Year impact factor: 4.5
Impact factor: 4.5

Mechanism and Machine Theory provides a medium of communication between engineers and scientists engaged in research and development within the fields of knowledge embraced by IFToMM, the International Federation for the Promotion of Mechanism and Machine Science, therefore affiliated with IFToMM as its official research journal.The main topics are:Design Theory and Methodology;Haptics and Human-Machine-Interfaces;Robotics, Mechatronics and Micro-Machines;Mechanisms, Mechanical Transmissions and Machines;Kinematics, Dynamics, and Control of Mechanical Systems;Applications to Bioengineering and Molecular ChemistryMethodologically, this includes theoretical, experimental, and/or historical approaches, along with their practical application, including education. Substantially, the journal aims at covering all subjects related to mechanisms and machines in general, such as: design theory and methodology, kinematics of mechanisms, rotor dynamics, computational kinematics, multibody dynamics, dynamics of machinery, nonlinear vibrations, linkages and cams, gearing and transmissions, transportation machinery, control and reliability of mechanical systems, including hydraulic and pneumatic systems, experimental test techniques, robots and robotic technologies, mechatronics, micromachines, human-machine interfaces, haptics, among others. Prospective fields of application of mechanism and machine science to other scientific areas such as bioengineering and molecular chemistry are also welcome.For more information on IFToMM, please visit https://iftomm-world.org/

Mechatronics

ISSN: 0957-4158
5 Year impact factor: 3.6
Impact factor: 3.1

The Science of Intelligent Machines An International JournalMission and ScopeA journal of IFAC, the International Federation of Automatic ControlWelcome to Mechatronics: The Science of Intelligent Machines. Mechatronics is a refereed journal that publishes articles that report advances in the state-of-the-art in Mechatronics and Robotics. We welcome original submissions that report creative or innovative methodology and solutions with a synergistic combination of mechanical engineering, electrical and electronic engineering, and control systems of intelligent machines or robotic systems. Submitted manuscripts are expected to report experimental results obtained from laboratory or full-scale mechatronic apparatus. Some of the topics addressed in the published articles include:Mechatronics: Modeling, identification and control of mechatronic systems; motion and vibration control; micro/nano systems and devices; automotive systems; biomedical mechatronic systems; and advanced manufacturing equipment and processes.Robotics: Modeling, control, learning and system issues related to: autonomous vehicles and robots, marine, underwater, and aerial robots, legged robots, soft robots, field robots, industrial robots, medical robots; human-robot interaction; teleoperation; haptics; and multi-robot systems.Types of papersRegular Articles: Articles that describe original research of high quality in Mechatronics or in Robotics.Review Articles: Contain a detailed survey of established or emerging topics of interest to the journal readership.Robotics and Mechatronics Letters: Short manuscripts, no longer than seven printed journal pages, that report important time sensitive results in Robotics or in Mechatronics. These articles will go through a rapid review process overseen by a dedicated Co-Editor-in- Chief.Book Reviews: A detailed review of published textbooks or research monographs of interest to Mechatronics' readership.

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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