Journals in Library and information science
Journals in Library and information science
- ISSN: 1474-0346
Advanced Engineering Informatics
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.
- ISSN: 0305-0548
Computers & Operations Research
Computers & Operations Research is a privileged forum for state-of-the-art work exploring the theory and practice of Operations Research (OR) intertwined with advanced computational methodologies. The journal publishes high-quality innovative and impactful research articles in theories, modeling, algorithms, and applications of Operations Research.Since its first volume was printed in 1974, the journal has promoted different OR application areas that include but are not limited to Transportation, Logistics, Manufacturing, and Supply Chain Management. The journal has also triggered new trends in OR models and techniques such as Data Analytics, Decision-making under Uncertainty, and Behavioral OR. A strong focus has been put on recent advances in Statistics, Data Science, and Machine Learning.The form, content, and language of the articles should take cognizance of the breadth of applications covered by OR and of the consequent fact that many readers may not be experts in the scientific field to which the computer and operations research techniques are applied by the author. In particular, the abstract should concisely describe:1. the investigated problem(s), 2. the theoretical or methodological contribution, and 3. the insights.The journal is structured around seven major areas which, nonetheless, are not disjointed:Transport... and Supply Chains; Production and Scheduling; Decision-Making under Uncertainty and Data Analytics; Optimization—Exact Methods; Optimization—Approxi... Methods; Machine Learning and Data Science. The journal also publishes state-of-the-art surveys and best practice guides in Analytics, Operations Research, and Management Science. These articles are printed in a special section, “Surveys in Operations Research and Management Science”. Submissions can focus on theory or applications of OR/MS and can be of several types, including but not limited to: 1. Results that are considered standards by experts in the community but which have not been documented in textbooks; 2. Standard results which have been, in some way, streamlined, such as, for example, new proof techniques leading to more elegant derivations of known results; 3. New developments in methodology or new application areas ('hot topics'). A survey should be critical with respect to the existing knowledge and should focus on computational and algorithmic aspects. The journal 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.Full... reproducible results are core for papers accepted for publication in the journal. Hence, authors should grant full access to the data and codes underlying their work. Further information on different possibilities to accomplish this can be found at https://www.scienced... Best Paper AwardEvery year, the journal’s editors select one paper to receive the “CAOR Annual Best Paper Award”. The paper will be made free-to-view for one year, thus receiving privileged visibility. The winning and the runner-up papers will also be highlighted on the website in the “Editor’s Choice” section, staying there for one year.Further Information for authorsIt 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 that do not satisfy these criteria may be rejected without being sent to reviewers.All full-length research papers published in the journal must 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. The use of real-world data is also valued. In CAOR, (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. The Harvard style is adopted in the journal for the bibliography. Authors should consider this while preparing their manuscripts, especially when preparing tables and charts involving bibliography references.The highly innovative contributions targeted by the journal prevent it from endorsing papers that present long and unsolvable formulations for variants or extensions of existing problems and then resort to a well-established approximate method to find approximate solutions. CAOR does not endorse papers emerging in the context of warfare activities planning. The authors working in that and related fields should look for specialized journals.
- ISSN: 0740-624X
Government Information Quarterly
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
- ISSN: 0378-7206
Information & Management
The International Journal of Information Systems Theories and ApplicationsInformat... & 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.Benefi... 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
- ISSN: 0306-4573
Information Processing & Management
This journal is ranked by The Chartered Association of Business Schools' Academic Journal Guide, Australian Business Deans Council, Chinese Academy of Sciences (CAS), China Computer Federation (CCF), BFI (Denmark), Computing Research & Education (CORE) Journal Ranking, The Publication Forum (Finland), Science Citation Index Expanded, Social Sciences Citation Index, Scopus, and SCImago Journal Rank (SJR).Information Processing and Management publishes cutting-edge original research at the intersection of computing and information science concerning theory, methods, or applications in a range of domains, including but not limited to advertising, business, health, information science, information technology marketing, and social computing.The journal aims to serve the interests of primary researchers but also practitioners in furthering knowledge at the intersection of computing and information science by providing an effective forum for the timely dissemination of advanced and topical issues. The journal is especially interested in original research articles, research survey articles, research method articles, and articles addressing critical applications of research.Specificall... the journal is interested in four types of manuscripts, which are:Research manuscripts addressing topics at the intersection of computer and information science.Methods manuscripts focusing on the application of novel methods at the intersection of computer and information science.Review manuscripts assessing, in a critical and in-depth manner, a broad trend at the intersection of computer and information science, providing integration of the prior research, and recommendations for further work in the area.Critical application manuscripts concerning system design research at the intersection of computer and information science.
- ISSN: 0306-4379
Information Systems
Databases: Their Creation, Management and UtilizationInformati... systems are the software and hardware systems that support data-intensive applications. The journal Information Systems publishes articles concerning the design and implementation of languages, data models, process models, algorithms, software and hardware for information systems.Subject areas include data management issues as presented in the principal international database conferences (e.g., ACM SIGMOD/PODS, VLDB, ICDE and ICDT/EDBT) as well as data-related issues from the fields of data mining/machine learning, information retrieval coordinated with structured data, internet and cloud data management, business process management, web semantics, visual and audio information systems, scientific computing, and data science. We welcome systems papers that focus on implementation considerations in massively parallel data management, fault tolerance, and special purpose hardware for data-intensive systems; theoretical papers that either break significant new ground or unify and extend existing algorithms for data-intensive applications; and manuscripts from application domains, such as urban informatics, social and natural science, and Internet of Things, which present innovative, high-performance, and scalable solutions to data management problems for those domains.All papers should motivate the problems they address with compelling examples from real or potential applications. Systems papers must be serious about experimentation either on real systems or simulations based on traces from real systems. Papers from industrial organizations are welcome. Theoretical papers should have a clear motivation from applications and clearly state which ideas have potentially wide applicability.Author... of selected articles that have been accepted for publication in Information Systems are invited by the EiCs to submit the experiment described in their papers for reproducibility validation. The resulting additional reproducibility paper is co-authored by the reproducibility reviewers and the authors of the original publication.As part of its commitment to reproducible science, Information Systems also welcomes experimental reproducible survey papers. Such submissions must: (i) apply a substantial portion of the different surveyed techniques to at least one existing benchmark and perhaps one or more new benchmarks, and (ii) be reproducible (the validation of reproducibility will result in a separate paper following the guidelines of our Reproducibility Editor).In addition to publishing submitted articles, the Editors-in-Chief will invite retrospective articles that describe significant projects by the principal architects of those projects. Authors of such articles should write in the first person, tracing the social as well as technical history of their projects, describing the evolution of ideas, mistakes made, and reality tests. We will make every effort to allow authors the right to republish papers appearing in Information Systems in their own books and monographs.
- ISSN: 1471-7727
Information and Organization
Advances in information and communication technologies are associated with a wide and increasing range of social consequences, which are experienced by individuals, work groups, organizations, interorganizational networks, and societies at large. Understanding the relationships between communication, digital technologies and organizations is an increasingly important and urgent societal and scholarly concern in many disciplinary fields.Information and Organization seeks to publish original articles on the relationships between digital technologies, communication, and organizations. It seeks a scholarly understanding that is based on empirical research and builds novel theoretical contributions. A particular focus of Information and Organization is to publish qualitative and interpretive research which adopts case studies, ethnography and in-depth longitudinal empirical studies, including critical theory and science and technology studies.Papers that provoke critical thinking on important subjects are welcomed, including articles that focus on research impact and contributions to knowledge in our special section (RICK). The aim is to provide a forum that brings together innovative, reflective, and rigorous scholarship while being relevant for practice.Of special interest are contributions on the social construction of information technologies, the implications of digital technologies for innovation and organizational change, alternative organizational designs such as virtual organizations and ecosystems, ICT's for institutional and societal change, global strategy and digitalization, data driven organizations and changes in work, ethics of digital technologies and data governance. The journal seeks contributions from fields such as information systems, organization theory, history and philosophy of science and technology, practice theory, institutional theory, strategy, and communication studies.
- ISSN: 0268-4012
International Journal of Information Management
The Journal for Information ProfessionalsThe International Journal of Information Management (IJIM) is an international, peer-reviewed journal which aims to bring its readers the very best analysis and discussion in the developing field of information management.The journal: • Keeps the reader briefed with major papers, reports and reviews • Is topical: Viewpoint articles and other regular features including Research Notes, Case Studies and a Reviews section help keep the reader up to date with current issues. • Focusses on high quality papers that address contemporary issues for all those involved in information management and which make a contribution to advancing information management theory and practice.Information is critical for the survival and growth of organisations and people. The challenge for Information management is now less about managing activities that collect, store and disseminate information. Rather, there is greater focus on managing activities that make changes in patterns of behaviour of customers, people, and organizations, and information that leads to changes in the way people use information to engage in knowledge focussed activities.Informati... management covers a wide field and we encourage submissions from diverse areas of practice and settings including business, health, education and government.Topics covered include:Aspects of information management in learning organisations, health care (patients as well health workers and managers), business intelligence, security in organizations, social interactions and community development, knowledge management, information design and delivery, information for health care, Information for knowledge creation, legal and regulatory issues, IS-enabled innovations in information, content and knowledge management, philosophical and methodological approaches to information management research, new and emerging agendas for information research and reflective accounts of professional practice.Internation... Journal of Information Management is the companion title to the open access journal International Journal of Information Management Data Insights.In 2002, Elsevier launched Library Connect, a new initiative bringing together many of Elsevier's library-focused efforts. For more information about this initiative and to read or subscribe to the complimentary Library Connect Newsletter, please visit Library Connect
- ISSN: 1751-1577
Journal of Informetrics
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
- ISSN: 1570-8268
Journal of Web Semantics
The Journal of Web Semantics (JWS) is an interdisciplinary forum at the intersection of the Semantic Web, Knowledge Graphs (KGs), and Artificial Intelligence (AI), with a strong emphasis on both theoretical and applied research. Building on its foundation as a venue for exploring knowledge-intensive and intelligent Web technologies, JWS recognizes the pivotal role that KGs and Semantic Web (SW) technologies play in the evolving AI landscape, particularly amid recent breakthroughs in Generative AI, neuro-symbolic systems, and autonomous agents.JWS seeks to capture the critical convergence between symbolic and statistical approaches to AI, focusing on the methods, architectures, and foundational theories that drive the integration of Semantic Web and KG technologies with machine learning, deep learning, Large Language Models (LLMs), and other AI techniques. The journal encourages contributions that not only demonstrate impactful applications but also advance the theoretical understanding of how structured, semantic knowledge can enhance intelligent systems.We welcome high-quality submissions that include, but are not limited to, the following areas:Theoretical Foundations and Methodological AdvancesFormal Models and Representations: New theoretical frameworks and formalisms for KGs, ontologies, reasoning, and semantic data management, including studies on expressivity, consistency, change management, and evolution in complex or dynamic systems.Hybrid and Neuro-Symbolic Architectures: Methodological insights into combining symbolic knowledge representation with sub-symbolic learning, including formal characterizations of neuro-symbolic systems and architectures.KG-AI Integration Methods: Novel algorithms and frameworks that tightly couple KGs with AI methods in ways that yield results unattainable by either approach alone, including Logic Augmented Generation and reasoning-enhanced learning.Evaluation and Benchmarking: Research on robust evaluation methodologies for KG-AI systems, with attention to correctness, scalability, data quality, reliability, interpretability, and accountability. Applied and Interdisciplinary ResearchCross-Discip... Studies: Integrative work drawing from ontology engineering, databases, NLP, machine learning, human-computer interaction, and cognitive science, among others, with clear theoretical or methodological contributions.Domain Applications: Real-world use cases showing how KGs and SW technologies enable or enhance AI in specific domains: Healthcare and Life Sciences, Education, Legal Tech, Scientific Discovery, Smart Cities, Industry, Finance, Cultural Heritage, Art and Creativity, etc.Engineering, Resources, and System IntegrationKG Engineering Automation: AI-driven approaches to the (semi-)automatic creation, population, alignment, and refinement of KGs and ontologies, especially using LLMs and foundation models.System Descriptions and Architectures: Descriptions of integrated KG-AI systems, with technical insights into issues such as hallucination mitigation, knowledge retrieval, cross-modal integration, and interaction design.Auditing, Explanation, and Governance: Research on how KGs contribute to transparency, robustness, and auditability of AI systems, including formal representation of workflows, provenance, and ethical constraints.Data and Knowledge Resources: Descriptions of high-impact ontologies, datasets, benchmarks, and tools that enable research or deployment in SW/AI integration. JWS is especially interested in papers that address current and future challenges in the field, including:Modelling expressivity for complex systemsKnowledge engineering automationIntegratio... of heterogeneous data and knowledge sourcesScalable, efficient reasoning with large-scale KGsAccessibility and usability of semantic systemsProvenance, privacy, and interoperability in AI-KG ecosystemsSocietal impacts, costs, risks, and sustainability of KG-based AIEvaluation of semantic methods and systems Finally, we value contributions that demonstrate real-world impact and uptake, including usability studies, deployment evaluations, and comparative analyses with alternative technologies.By promoting both foundational insights and practical innovations, JWS aims to remain a leading venue for advancing the role of Semantic Web and Knowledge Graph technologies in shaping the future of Artificial Intelligence.