Journals in Data

BenchCouncil Transactions on Benchmarks, Standards and Evaluations

ISSN: 2772-4859

BenchCouncil Transactions on Benchmarks, Standards and Evaluations (TBench) is an open-access, multi-disciplinary journal dedicated to advancing the science and engineering of evaluation. We extend a warm invitation to researchers from diverse disciplines to submit their work, with a particular emphasis on interdisciplinary research. Whether the research pertains to computers, artificial intelligence (AI), medicine, education, finance, business, psychology, or other social disciplines, all relevant contributions are highly valued and welcomed.At TBench, we place great importance on the reproducibility of research. We strongly encourage authors to ensure that their articles are appropriately prepared for open-source or artifact evaluation prior to submission. Areas of interest include, but are not limited to:1. Evaluation theory and methodologyFormal specification of evaluation requirementsDevelopment of evaluation modelsDesign and implementation of evaluation systemsAnalysis of evaluation riskCost modeling for evaluationsAccuracy modeling for evaluationsEvaluation traceabilityIdentification and establishment of evaluation conditionsEquivalent evaluation conditionsDesign of experimentsStatistical analysis techniques for evaluationsMethodologies and techniques for eliminating confounding factors in evaluationsAnalytical modeling techniques and validation of modelsSimulation and emulation-based modeling techniques and validation of modelsDevelopment of methodologies, metrics, abstractions, and algorithms specifically tailored for evaluations2. The engineering of evaluation Benchmark design and implementationBenchmark traceability Establishing least equivalent evaluation conditionsIndex design, implementationScale design, implementationEvaluation standard design and implementationsEvaluation and benchmark practice Tools for evaluationsReal-world evaluation systemsTestbed3. Data setExplicit or implicit problem definition deduced from the data setDetailed descriptions of research or industry datasets, including the methods used to collect the data and technical analyses supporting the quality of the measurementsAnalyses or meta-analyses of existing dataSystems, technologies, and techniques that advance data sharing and reuse to support reproducible researchTools that generate large-scale data while preserving their original characteristicsEvaluating the rigor and quality of the experiments used to generate the data and the completeness of the data description4. BenchmarkingSummary and review of state-of-the-art and state-of-the-practiceSearching and summarizing industry best practiceEvaluation and optimization of industry practiceRetrospective of industry practiceCharacterizing and optimizing real-world applications and systemsEvaluations of state-of-the-art solutions in the real-world setting5. Measurement and testingWorkload characterizationInstrumentation, sampling, tracing, and profiling of large-scale, real-world applications and systemsCollection and analysis of measurement and testing data that yield new insightsMeasurement and testing-based modeling (e.g., workloads, scaling behavior, and assessment of performance bottlenecks)Methods and tools to monitor and visualize measurement and testing dataSystems and algorithms that build on measurement and testing-based findingsReappraisal of previous empirical measurements and measurement-based conclusionsReappraisal of previous empirical testing and testing-based conclusionsEditorial Board

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Cyber Security and Applications

ISSN: 2772-9184

To defend against various cyber-attacks, the companies and organizations should have right policies and procedures in place. Moreover, it is essential to develop new quantum-safe encryption algorithms and modern tools which can withstand from quantum computer-based attacks. This Cyber Security and Applications (CSA) journal focuses on cyber breaches, cyber-attacks, quantum computing based encryption and decryption techniques and cyber defense tools for improving level of cyber security.In addition to this, CSA also welcomes the researchers to submit the papers related to advance methods and tools for improving the cyber security in the field of Information and Communication Technology (ICT). Therefore, the CSA journal seeks innovative papers in the field of cyber security. CSA also accepts the substantially extended version of the conference papers in the field of cyber security.Topics of interest include, but are not limited to the following:Cyber attacksSoftware and Hardware SecuritySecurity issues in Intelligent Transportation Systems (ITS)Machine learning mechanisms for cyber securityKey generation and key distribution schemesModern tools for improving cyber securityEmerging trends in cyber securityAuthenticated Key Agreement ProtocolsCyber security in Internet of Things (IoT)Cyber security in CloudQuantum-safe encryption algorithmsQuantum-safe digital signature schemesQuantum-safe key management mechanismsEditorial Board

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Data & Knowledge Engineering

ISSN: 0169-023X
5 Year impact factor: 2.2
Impact factor: 2.7

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.DKE covers the following topics:1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues.4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.Plus... conference reports, calendar of events, book reviews etc.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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Information Systems

ISSN: 0306-4379
5 Year impact factor: 2.9
Impact factor: 3

Databases: Their Creation, Management and UtilizationInformation 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.Authors 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.

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Physical Communication

ISSN: 1874-4907
5 Year impact factor: 1.7
Impact factor: 2

PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published.Topics of interest include but are not limited to:Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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Telematics and Informatics

ISSN: 0736-5853
5 Year impact factor: 8.2
Impact factor: 7.6

An Interdisciplinary Journal on the Social Impacts of New TechnologiesTelematics and Informatics is an interdisciplinary journal publishing innovative theoretical and methodological research on the social, economic, geographic, political, and cultural impacts of digital technologies. Application areas include smart cities, sensors and information fusion, the digital society and digital platforms, internet of things (IoT), cyber-physical technologies, privacy, knowledge management, distributed work, emergency response and hazards, mobile and wireless communications, health informatics, psychosocial effects of social media, ICT for sustainable development, blockchain, e-commerce, and e-government.The Journal favors research papers (8,000 words) but will consider contributions offering systematic review and meta-analysis (10,000 words), as well as research notes (4,000 words) that seek to advance new ideas, theoretical perspectives or methodological approaches.Telematics and Informatics serves as an international outlet for information scientists, data scientists, computer scientists, social informaticists, geographic information scientists, urban and regional planners, policy analysts, regional scientists, disaster scientists, and network scientists.Benefits to authors We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our Support Center

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Journals in Data

BenchCouncil Transactions on Benchmarks, Standards and Evaluations

Cyber Security and Applications

Data & Knowledge Engineering

Information Systems

Physical Communication

Telematics and Informatics

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