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Journals in Social sciences

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Communications in Transportation Research

  • ISSN: 2772-4247
An official journal of Tsinghua University Communications in Transportation Research publishes peer-reviewed high-quality research representing important advances of significance to emerging transport systems. The mission is to provide fair, fast, and expert peer review to authors and insightful theories, impactful advances, and interesting discoveries to readers. We welcome submissions of significant and general topics, of inter-disciplinary nature (transport, civil, control, artificial intelligence, social science, psychological science, medical services, etc.), of complex and inter-related system of systems, of strong evidence of data strength, of visionary analysis and forecasts towards the way forward, and of potentially implementable and utilizable policies/practices. To be more specific, the scope of expected submissions includes but is not limited to: Interactions among transportation systems and other systems Integrations of emerging technologies with transportation systems Big data analytics in transportation area Advances and discoveries in transportation area Forward-looking judgment for future transportation systems Emerging technologies/products and their impact on transportation Novel transportation modes and associated analytics Governmental initiated transportation policies and impact analysis Mobility as a service Field experiments of emerging transportation technologies Transportation electrification, automation, and connectivity Communications in Transportation Research is a fully open access journal. It is co-published by Tsinghua University Press and Elsevier, and co-sponsored by the State Key Laboratory of Automotive Safety and Energy (Tsinghua University) and China Intelligent Transportation Systems Association (ITS China). At its discretion, Tsinghua University Press will pay the open access fee for all published papers from 2021 to 2025.
Communications in Transportation Research

Computer Law & Security Review

  • ISSN: 0267-3649
  • 5 Year impact factor: 2.9
  • Impact factor: 2.9
The International Journal of Technology Law and Practice The Computer Law and Security Review (CLSR) is an international journal of technology law and practice providing a major platform for publication of high quality research, policy and legal analysis within the field of IT law and computer security. It has been published six times a year since 1985 under its founding Editor, Emeritus Professor Steve Saxby, who retired in 2018 after handing editorship over to Professor Sophie Stalla-Bourdillon. It is the leading journal of its kind in Europe and provides a robust peer reviewed medium and policy forum for dissemination of knowledge and discussion, supported by powerful Editorial and Professional Boards. CLSR is accessible to a wide range of academics, researchers, research institutes, companies, libraries and governmental and non-governmental organisations in both the public and private sectors as well as professionals in the legal, IT and related business sectors in more than 100 countries. It is available on ScienceDirect, the world's foremost provider of electronic scientific information to more than 16 million subscribers. CLSR authors come from leading academics, international specialists, legal professionals and early career researchers from many of the most renowned research centres and universities in the world. Contributors are also located in the major international law firms, specializing in technology law, who provide essential comment and analysis built upon widespread experience of applying IT law in practice. CLSR further welcomes policy analysis from legal specialists, the judiciary, professional and business organisations operating in IT and from those with regulatory responsibilities for information and communications technology from both the public and private sectors as it regularly contributes to consultations undertaken by the EU, Council of Europe and other bodies. Papers that reflect the outcomes of funded research e.g. from Research Councils or EU projects are welcomed. Submissions are welcomed from any part of the world. CLSR is looking for papers within the subject area that display good quality legal analysis, new lines of legal thought or policy development that go beyond mere description of Law or policy, however accurate that may be. CLSR publishes refereed academic and practitioner papers on a wide range of legal topics such as Internet law, telecoms regulation, intellectual property, cyber-crime, surveillance and security, e-commerce, outsourcing, data protection, ePrivacy, EU and public sector ICT policy, and many others. In addition it provides a regular update on European Union developments, and national news from more than 20 jurisdictions in both Europe and the Pacific Rim. All papers are then peer reviewed by relevant experts and feedback is given whether or not a paper is accepted or returned for further work. Submissions will normally be between 6,000-15,000 words although papers of a higher word length may also be submitted subject to negotiation with the Editor. The Editor's policy is to try and accommodate contributions of all sizes above the minimum threshold where length is dictated by the needs of the subject matter. Opinion pieces concerning policy, legislation or case law of a minimum of 2000 words and upwards will also be considered but these will appear as comment and not as feature articles. Please note that CLSR strongly encourages PhD students, who have not yet obtained their degree, not to submit papers unless accompanied by confirmation that the supervisor has seen the manuscript and is recommending it for publication. If the supervisor's approval can be provided, asserting that the draft manuscript has been reworked and developed with the journal's aims and expectations in mind, then it will be accepted for review.
Computer Law & Security Review

Computer Speech and Language

  • ISSN: 0885-2308
  • 5 Year impact factor: 3.5
  • Impact factor: 4.3
An official publication of the International Speech Communication Association (ISCA) Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language.The speech and language sciences have a long history, but it is only relatively recently that large-scale implementation of and experimentation with complex models of speech and language processing has become feasible. Such research is often carried out somewhat separately by practitioners of artificial intelligence, computer science, electronic engineering, information retrieval, linguistics, phonetics, or psychology.The journal provides a focus for this work, and encourages an interdisciplinary approach to speech and language research and technology. Thus contributions from all of the related fields are welcomed in the form of reports of theoretical or experimental studies, tutorials, reviews, and brief correspondence pertaining to models and their implementation, or reports of fundamental research leading to the improvement of such models.Research Areas Include Algorithms and models for speech recognition and synthesis Natural language processing for speech understanding and generation Statistical computational linguistics Computational models of discourse and dialogue Information retrieval, extraction and summarization Speaker and language recognition Computational models of speech production and perception Signal processing for speech analysis, enhancement and transformation Evaluation of human and computer system performance
Computer Speech and Language

Computers & Education

  • ISSN: 0360-1315
  • 5 Year impact factor: 12.6
  • Impact factor: 12
Computers & Education aims to increase knowledge and understanding of ways in which digital technology can enhance education, through the publication of high-quality research, which extends theory and practice. The Editors welcome research papers on the pedagogical uses of digital technology, where the focus is broad enough to be of interest to a wider education community. We do not publish small-scale evaluations of specific software/systems in specialist domains or particular courses in individual institutions (unless the findings have broader relevance that is explicitly drawn out in the paper). Papers that include discussions of the implementation of software and/or hardware should focus on the context of use, the user/system interface, usability issues and evaluations of the user experience and impacts on and particularly on the implications for learning and teaching. Computers as a delivery platform only is insufficient. Detailed information on implementation architecture should NOT be included in the paper, but may be provided via URLs. We welcome systematic review papers and meta-analyses that include clear research questions, a framework of analysis, and conclusions that reflect the aims of the paper. See PRISMA guidelines for further advice. Authors should take care to refer to and abide by the author guidelines. Papers that do not address the criteria outlined in the author guidelines will be returned without review. Authors are also welcome to submit to the journal's open access companion titles, Computers & Education Open or Computers & Education: Artificial Intelligence.
Computers & Education

Computers & Education: X Reality

  • ISSN: 2949-6780
Computers and Education: X Reality (CEXR) affords a platform for researchers, developers, and educators to publish their research progress, share novel research ideas, and demonstrate pedagogical innovation on topics relating to mixed reality for educational purposes. In particular, CEXR is interested in immersive learning, personalized and adaptive learning, smart education, and interactive learning. CEXR's scope includes topics such as the following: VR/AR/MR in e-learning systems Collaborative learning in VR/AR/MR environments Multiuser and distributed VR/AR/MR learning systems The social, business and human aspects of the virtual world for education Usability and user experience in the virtual world for education Human-centred and learner-centred virtual learning 3D interaction for VR/AR/MR for education Artificial intelligence, IoT, Big data in VR/AR/MR e-learning applications Immersive gaming and VR/AR/MR-driven edutainment Virtual environments for surgical, medical, and safety education Virtual reality and Art technology for education Ethical issues in VR/AR/MR for education Mobile VR/AR/MR educational solutions VR/AR/MR hardware/devices/infrastructure for education and training Applications of haptics technologies for teaching and learning innovations Spherical video-based virtual reality for teaching and learning VR/AR/MR software applications for education and training Blockchain and NFTs applications in the Metaverse for education VR/AR/MR techniques for smart campus The integration of virtual communities (e.g., social media, online communities, and/or VR/MR/AR) for education User experience and interface design issues for educational experiences in VR/MR/AR and the Metaverse The integration of VR/MR/AR and the Metaverse with traditional classroom learning Exploring how VR/MR/AR and the Metaversecan make education more accessible to students with different needs and abilities
Computers & Education: X Reality

Computers & Graphics

  • ISSN: 0097-8493
  • 5 Year impact factor: 2.2
  • Impact factor: 2.5
An International Journal of Systems & Applications in Computer Graphics Computers & Graphics is dedicated to disseminate information on research and applications of computer graphics (CG) techniques. The journal encourages articles on: 1. Research and applications of interactive computer graphics. We are particularly interested in novel interaction techniques and applications of CG to problem domains. 2. State-of-the-art papers on late-breaking, cutting-edge research on CG. 3. Information on innovative uses of graphics principles and technologies. 4. Tutorial papers on both teaching CG principles and innovative uses of CG in education. Computers & Graphics provides a medium to communicate information concerning interactive CG and CG applications. The journal focuses on interactive computer graphics, visualization and novel input modalities including virtual environments, and, within this scope, on graphical models, data structures, languages, picture manipulation algorithms and related software. Replicability Badge and Software Publication Computers and Graphics is collaborating with the GRSI (Graphics Replicability Stamp Initiative), an independent group of volunteers who help the community by enabling sharing of code and data as a community resource for non-commercial use. The volunteers review the submitted code (and data) and certify its replicability. Note that an accepted paper will be published independently of the GRSI application outcome. However, if the paper receives the Replicability Stamp, it will be given additional exposure by having an attached Replicability Badge, and by being listed on the Replicability Stamp website. See http://www.replicabilitystamp.org for further information. We invite you to convert your open source software with GRSI Badge 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] 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.
Computers & Graphics

Computers & Operations Research

  • ISSN: 0305-0548
  • 5 Year impact factor: 5
  • Impact factor: 4.6
Now incorporating Surveys in Operations Research & Management Science Operations research and computers interact in many scientific fields of vital importance to our society. These include, among others, transportation, economics, investment strategy, inventory control, logistics, safety, reliability, urban planning, and ecology. Computers & Operations Research (COR) provides an international forum for the application of computers and operations research techniques to problems in these and related fields. The common element in all the scientific areas that this Journal addresses is the need for some optimization methodology for determining viable solutions to problems, using computers and the techniques of operations research. However, it is not only the methodology which is of interest: the applications are of equal importance. The two are mutually supportive, since understanding the application helps one greatly to comprehend the optimization methods used, and vice versa. This Journal will therefore concern itself with these scientific fields of application, and will be accordingly broad in scope of subject matter. The form, content and language of the articles will take cognizance of this breadth of applications and of the consequent fact that many readers may not be expert in the scientific field to which the computer and operations research techniques are applied by the author. All full-length research papers must contain original research results, and demonstrate constructive algorithmic complexity and extensive numerical experiments. Numerical illustrations (examples) are not sufficient: the numerical experiments must have a scientific value of their own, particularly with comparisons to other approaches. In addition, the research performed should represent novel and significant work relative to the relevant literature. The use of real-world data is also valued. (Meta)heuristics (other than well-established algorithms such as evolutionary algorithms or ant colony optimization) must be described in metaphor-free language. This is a way to ensure that they are immediately comparable to existing algorithms. Moreover, this facilitates highlighting the algorithmic contributions to the literature. Computers & Operations Research now incorporates Surveys in Operations Research and Management Science. COR will therefore also publish state-of-the-art surveys and best practice guides in analytics, operations research, and management science, in a special Surveys section. These reviews of leading research in the field enable educators, researchers and students to obtain an overview of subjects of current interest, as well as important recent developments in established areas. Submissions can focus on theory or applications of OR/MS, and can be of several types, including but not limited to: (i) Results that are considered standards by experts in the community but which have not been documented in textbooks; (ii) Standard results which have been, in some way, streamlined such as, for example, new proof techniques leading to more elegant derivations of known results; (iii) New developments in methodology, or new application areas ('hot topics'). A review should be critical with respect to the existing knowledge and should focus on the computational and algorithmic aspects/developments. For more information on writing a contribution for the Surveys section of COR, please refer to What Makes a Good Survey? Computers & Operations Research also publishes focused issues on topics of interest related to its editorial mission. Such issues typically contain between six and twelve articles. They are put together within an eighteen-month period under the responsibility of one or several guest editors. Prospective guest editors are encouraged to contact the Editor-in-Chief. Computers & Operations Research does not endorse works investigating neither warfare optimization problems nor applications involving activities that might cause serious injuries or even death, regardless of the setting (offensive or defensive). It is the responsibility of the authors to ensure that the submitted manuscripts are written using proper English, that possible grammatical or spelling errors are eliminated and that the text conforms to correct scientific English. Submissions which do not satisfy these criteria may be rejected without being sent to reviewers.
Computers & Operations Research

Computers and Composition

  • ISSN: 8755-4615
Computers and Composition: An International Journal is devoted to exploring the use of computers in writing classes, writing programs, and writing research. It provides a forum for discussing issues connected with writing and computer use. It also offers information about integrating computers into writing programs on the basis of sound theoretical and pedagogical decisions, and empirical evidence. It welcomes articles, reviews, and letters to the Editors that may be of interest to readers, including descriptions of computer-aided writing and/or reading instruction, discussions of topics related to computer use of software development; explorations of controversial ethical, legal, or social issues related to the use of computers in writing programs; and to discussions of how computers affect form and content for written discourse, the process by which this discourse is produced, or the impact this discourse has on an audience. Benefits to authors We also provide many author benefits, such as 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
Computers and Composition

Computers and Education Open

  • ISSN: 2666-5573
  • 5 Year impact factor: 3.6
  • Impact factor: 3.6
Computers & Education Open (CAEO) is an open access, peer reviewed journal focused on the ways in which digital technology can enhance education. Like its highly-regarded companion title, Computers & Education, CAEO welcomes research papers on the pedagogical uses of digital technology where the focus is broad enough to be of interest to a wider education community. In addition to empirical work, we welcome systematic reviews and meta-analyses that include clear research questions, a framework of analysis, and conclusions that reflect the aims of the paper. CAEO also offers the opportunity to publish special issues or sections to reflect current interest and research in topical or developing areas. We are also open to publishing research presented in innovative fashions, for example in multimedia formats, as well as papers which take an interdisciplinary approach.
Computers and Education Open

Computers and Education: Artificial Intelligence

  • ISSN: 2666-920X
Computers & Education: Artificial Intelligence aims at affording a world-wide platform for researchers, developers, and educators to present their research studies, exchange new ideas, and demonstrate novel systems and pedagogical innovations on the research topics in relation to applications of artificial intelligence (AI) in education and AI education. A sister journal to Computers & Education, CAEAI is an open access and peer reviewed journal, which welcomes empirical, review, and position papers from the following areas. AI-assisted tutoring for decision-making AI-based multimedia data analytics in classroom or school settings AI-enabled learning environment designing educational technologies in the age of AI ethical issues and problems raised by AI applications in education how to apply AI techniques and models in analyzing the educational data how to develop AI-based e-learning systems innovative strategies and systems for AI education intelligent tutoring and learning systems learning behavioral and cognitive analysis for intelligent systems learning emotion detection using AI learning emotion and classroom dialogue analysis using AI personalized and intelligent educational systems pedagogical innovations for AI teaching and learning research trends in AI for education research
Computers and Education: Artificial Intelligence