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Journals in Library and information science

Advanced Engineering Informatics

  • ISSN: 1474-0346
  • 5 Year impact factor: 8.2
  • Impact factor: 8
The science of supporting knowledge-intensive activitiesAdvanced computing methods and related technologies are changing the way engineers interact with the information infrastructure. Explicit knowledge representation formalisms and new reasoning techniques are no longer the sole territory of computer science. For knowledge-intensive tasks in engineering, a new philosophy and body of knowledge called Engineering Informatics is emerging.Advanced Engineering Informatics solicits research papers with particular emphases both on 'knowledge' and 'engineering applications'. As an international Journal, original papers typically:• Report progress in the engineering discipline of applying methods of engineering informatics. • Have engineering relevance and help provide the scientific base to make engineering decision-making more reliable, spontaneous and creative. • Contain novel research that demonstrates the science of supporting knowledge-intensive engineering tasks. • Validate the generality, power and scalability of new methods through vigorous evaluation, preferably both qualitatively and quantitatively.In addition, the Journal welcomes high quality review articles that summarise, compare, and evaluate methodologies and representations that are proposed for the field of engineering informatics. Similarly, summaries and comparisons of full-scale applications are welcomed, particularly those where scientific shortcomings have hindered success. Typically, such papers have expanded literature reviews and discussion of findings that reflect mastery of the current body of knowledge and propose novel additions to contemporary research.Papers missing explicit representation and use of knowledge, such as those describing soft computing techniques, mathematical optimization methods, pattern recognition techniques, and numerical computation methods, do not normally qualify for publication in the Journal. Papers must illustrate contributions using examples of automating and supporting knowledge intensive tasks in artifacts-centered engineering fields such as mechanical, manufacturing, architecture, civil, electrical, transportation, environmental, and chemical engineering. Papers that report application of an established method to a new engineering subdomain will qualify only if they convincingly demonstrate noteworthy new power, generality or scalability in comparison with previously reported validation results. Finally, papers that discuss software engineering issues only are not in the scope of this journal.
Advanced Engineering Informatics

Computers & Graphics

  • ISSN: 0097-8493
  • 5 Year impact factor: 2.3
  • Impact factor: 2.5
An International Journal of Systems & Applications in Computer GraphicsComputers & 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] 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: 4.5
  • Impact factor: 4.1
Now incorporating Surveys in Operations Research & Management ScienceOperations 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

Data Science and Informetrics

  • ISSN: 2694-6106
Data Science and Informetrics (DSI) covers the trends, scientific foundations, techniques and applications of the field. The journal publishes research papers, technical reports subject reviews, short comments and book reviews, providing a platform for data scientists, computer scientists, industry practitioners, and potential users of data science and analytics.Topics covered include but are not limited to:• Theory and mathematical foundations for data science and informetrics.• Data analytics, knowledge discovery, machine learning, and deep learning, and intelligent processing of various data (including text, image, video, graph and network).• Big data architecture, infrastructure, computing, matching, indexing, query processing, mapping, search, retrieval, interopera­bility, exchange and recommendation.• Data science applications, intelligent services in scientific, business, governmental, cultural, behavioral, social and economic, health and medical, human, natural and artificial (including online/Web, cloud, IoT, mobile and social media) domains.• Ethics, quality, privacy, safety and security, trust and risk on data science and big data.• The convergence of bibliometrics, scientometrics, webometrics, altmetrics, informetrics and data science.• Informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, network science and data science.
Data Science and Informetrics

Data Science and Management

  • ISSN: 2096-739X
Data Science and Management (DSM) is a peer-reviewed open access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. DSM was launched in 2021, and published quarterly by Xi'an Jiaotong University.Current areas of interest include, but are not limited to:Machine learning and intelligent managementData mining and business analyticsData statistics and decision makingIntelligent computing and algorithmsData-driven management decisionsData-based policy evaluationBusiness intelligenceBusiness data scienceDigital economyData quality and data privacyData and knowledge managementEnterprise digital managementCyberspace managementData security managementSmart city managementSmart society managementDigital engineering managementData visualizationData-driven intelligent system managementData science applicationsAbout the Journal: The journal has a distinguished editorial board with extensive academic qualifications, ensuring that the journal maintains high scientific standards and has a broad coverage. DSM seeks to publish original, high quality, peer-reviewed papers including original research articles and reviews as well as technical reports. Submission would be encouraged on all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. The aim of this journal is to become a highly respected and trusted resource of leading knowledge in this field and to promote worldwide academic exchange. DSM is going to be an interdisciplinary forum opened to all professionals in the world.Editorial Board
Data Science and Management

Data Science and Management

  • ISSN: 2666-7649
Data Science and Management (DSM) is a peer-reviewed open access journal for original research articles, review articles and technical reports related to all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. DSM was launched in 2021, and published quarterly by Xi'an Jiaotong University.Current areas of interest include, but are not limited to:Machine learning and intelligent managementData mining and business analyticsData statistics and decision makingIntelligent computing and algorithmsData-driven management decisionsData-based policy evaluationBusiness intelligenceBusiness data scienceDigital economyData quality and data privacyData and knowledge managementEnterprise digital managementCyberspace managementData security managementSmart city managementSmart society managementDigital engineering managementData visualizationData-driven intelligent system managementData science applicationsAbout the Journal: The journal has a distinguished editorial board with extensive academic qualifications, ensuring that the journal maintains high scientific standards and has a broad coverage. DSM seeks to publish original, high quality, peer-reviewed papers including original research articles and reviews as well as technical reports. Submission would be encouraged on all aspects of data science and its application in the field of business, economics, finance, operations, engineering, healthcare, transportation, agriculture, energy, environment, sports, and social management. The aim of this journal is to become a highly respected and trusted resource of leading knowledge in this field and to promote worldwide academic exchange. DSM is going to be an interdisciplinary forum opened to all professionals in the world.Editorial Board
Data Science and Management

Data and Information Management

  • ISSN: 2543-9251
Data and Information Management (DIM) is an interdisciplinary, double-blind peer-reviewed journal that publishes high-quality original research papers in the field of data and information management. It aims to advance theoretical and/or methodological development related to data and information across various domains, including but not limited to business, academia, government, health, education, finance, marketing, and the Internet. DIM encourages and prioritizes submissions from a wide range of disciplines, such as library and information science, information systems, computer science, management, communication, and other related fields. The primary mission of DIM is to drive effective management of diverse data and information through cutting-edge research, ultimately fostering social development and enhancing human well-being.More specifically, DIM is particularly interested in the following types of submissions (Authors are also encouraged to provide specific details on these points in the cover letter):Manuscripts with a clear interdisciplinary nature, intended to appeal to readership from at least 2-3 different disciplines, and must include the discipline of Library and Information Science.Manuscripts that are topical, addressing important contemporary issues and capable of generating broad academic interest. Manuscripts containing unique and large-scale datasets, uncovering hidden patterns, associations and correlations, thereby providing profound insights and understanding for both academia and industry. Manuscripts demonstrating strong theoretical or methodological contributions, alongside rigorous methods and results, are preferred. The journal does not accept purely descriptive studies or papers solely focused on practical applications. Review articles should be critical, comprehensive and in-depth, integrating prior research and providing recommendations for future studies in the field.While DIM operates as a gold open-access (OA) journal, it imposes no fees on authors, and the Article Publishing Charge (APC) will be covered by Wuhan University. The articles published in DIM can be freely accessed, shared, downloaded, and disseminated, thereby enhancing the visibility and reach of research work featured on DIM and contributing to the academic influence of our authors.
Data and Information Management

Government Information Quarterly

  • ISSN: 0740-624X
  • 5 Year impact factor: 9.3
  • Impact factor: 7.8
An International Journal of Information Technology Management, Policies, and PracticesGovernment Information Quarterly is an international journal that examines the intersection of policy, information technology, government, and the public. In particular, GIQ focuses on how policies affect government information flows and the availability of government information; the use of technology to create and provide innovative government services; the impact of information technology on the relationship between the governed and those governing; and the increasing significance of information policies and information technology in relation to democratic practices.As the leading journal in the field, Government Information Quarterly seeks to publish high quality scholarly research, viewpoint articles and editorials that inform both researchers and practitioners regarding the relationship between policy, information technology, government, and the public. The journal seeks submissions drawn from a variety of disciplines, including but not limited to information science, public policy, public administration, political science, business, law, geography, information systems, communications, economics, sociology, computer science, and public health.Government Information Quarterly encourages submissions that focus on:• Information policies and their impact on government information flows, availability, and access • The impact of information technology on government innovation, transformation, and practice • An open, transparent, and accountable government • Data privacy, protection and security • Participatory decision-making and civic engagement and the role of information technology in promoting and/or limiting civil discourse, participation, and practice • Information flows in public spheres • Co-participation and co-production between the governed and the governing and the influence of technology and policy on the relationship between the public and government • The citizen, the state, information policy, and information technology • The development, implementation, and use of information systems and emerging technologies as platforms and delivery tools for government services and resources, as well as tools for decision and policy makingWithin this scope, Government Information Quarterly welcomes three types of submissions:1. Original research papers that combine rigour and relevance to advance the state-of-the-art and state-of-practice in the field2. Significant theoretical contributions that consolidate or advance the state-of-the-art in the field3. Significant practical contributions that convey novel and breakthrough ideas to advance the state-of-practice in the field
Government Information Quarterly

Heliyon

  • ISSN: 2405-8440
  • 5 Year impact factor: 3.9
  • Impact factor: 3.4
Heliyon considers research from all areas of the physical, applied, life, social and medical sciences. We publish manuscripts reporting scientifically accurate and valuable research, which adheres to accepted ethical and scientific publishing standards. As such Heliyon publishes new insights as well as extensions on existing theories, negative/null results and replication studies.Submissions covering arts, humanities and law are not considered in Heliyon. Authors of these submissions are encouraged to submit directly to our partner journal Social Sciences & Humanities Open.Heliyon classifies manuscripts/articles into different sections based on the research topic discussed. Some sections exclude certain types of studies from their scope. To know more and to see the kind of manuscripts the various sections publish, please visit: https://www.cell.com/heliyon/sectionsA dedicated in-house editorial office team, internal editors as well as external academic section and associate editors handle your manuscript and manage the publication process, giving your research the editorial support and quality control it deserves.If it's important to you, it's important to us. Submit your paper today.
Heliyon

Information & Management

  • ISSN: 0378-7206
  • 5 Year impact factor: 10.2
  • Impact factor: 8.2
The International Journal of Information Systems Theories and ApplicationsInformation & Management serves researchers in the information systems field and managers, professionals, administrators and senior executives of organizations which design, implement and manage Information Systems Applications. The major aims are:• To collect and disseminate information on new and advanced developments in the field of information systems;• To provide material for training and education in information systems;• To encourage further progress in information systems methodology and applications;• To cover the range of information system development and usage in their use of managerial policies, strategies, and activities for business, public administration, and international organizations.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
Information & Management