Big Data Research

Scope & Guideline

Shaping the discourse on data-intensive systems.

Introduction

Explore the comprehensive scope of Big Data Research through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore Big Data Research in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN2214-5796
PublisherELSEVIER
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2014 to 2024
AbbreviationBIG DATA RES / Big Data Res.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The journal 'Big Data Research' focuses on the application, development, and evaluation of methodologies and technologies for managing and analyzing large and complex datasets. It aims to bridge the gap between theoretical advancements and practical implementations in the realm of big data.
  1. Big Data Analytics:
    The journal emphasizes the exploration of techniques and tools for analyzing large datasets, including statistical analysis, machine learning, and deep learning approaches.
  2. Data Management Techniques:
    Research on methods for effective data storage, retrieval, and processing, especially in distributed and cloud computing environments.
  3. Applications in Various Domains:
    The journal covers the application of big data techniques across various fields such as healthcare, agriculture, urban planning, and social sciences, showcasing interdisciplinary research.
  4. Emerging Technologies:
    Focus on innovative technologies like blockchain, IoT, and AI that enhance big data applications and their implications for society.
  5. Visualization and Interpretation:
    Studies on how to effectively visualize and interpret big data insights to facilitate decision-making processes in organizations.
Recently, 'Big Data Research' has embraced several emerging themes that reflect the current trends and future directions in big data analytics. These trends indicate a shift towards more complex analyses and interdisciplinary approaches.
  1. AI and Machine Learning Integration:
    There is an increasing trend towards integrating artificial intelligence and machine learning methods into big data analytics, focusing on automating processes and enhancing predictive capabilities.
  2. Real-Time Data Processing:
    Research focusing on real-time data analytics and processing is on the rise, driven by the need for immediate insights in applications like smart cities and healthcare.
  3. Cross-Domain Application Studies:
    Emerging themes highlight the application of big data techniques in various fields, showcasing interdisciplinary collaborations that address complex problems.
  4. Ethical Considerations and Data Privacy:
    As big data usage expands, there is a growing emphasis on ethical implications, privacy concerns, and the governance of data usage in research and applications.
  5. Sustainability and Environmental Impact Analysis:
    Research exploring the use of big data for sustainability and environmental monitoring is gaining traction, reflecting a societal shift towards addressing climate change and resource management.

Declining or Waning

While 'Big Data Research' continuously evolves, some research themes have shown a decline in frequency or relevance over the years. These waning scopes reflect changing interests and advancements in the field.
  1. Traditional Statistical Methods:
    There is a noticeable decline in the emphasis on classical statistical methods as researchers increasingly prefer machine learning and AI-driven approaches for big data analytics.
  2. General Data Mining Techniques:
    The focus on generic data mining techniques is decreasing as more specialized methods tailored to specific industries or applications gain prominence.
  3. Single-Domain Studies:
    Research that is confined to a single domain without interdisciplinary approaches is becoming less common, as the field shifts towards more integrated and collaborative studies across multiple domains.

Similar Journals

Big Data & Society

Advancing Knowledge at the Intersection of Big Data and Social Impact
Publisher: SAGE PUBLICATIONS INCISSN: 2053-9517Frequency: 1 issue/year

Big Data & Society is a premier open-access journal published by SAGE Publications Inc, first established in 2014 in the United Kingdom. This influential journal has rapidly become a cornerstone in the landscape of big data research, with an impressive impact demonstrated by its Q1 ranking across various fields, including Communication, Computer Science Applications, Information Systems, and Library and Information Sciences. With its focus on the critical intersections between data analytics and societal implications, Big Data & Society serves as an essential platform for scholars, professionals, and students to disseminate cutting-edge research and foster discussion in these dynamic and impactful domains. Researchers benefit from its rigorous peer-review process and robust visibility, as evidenced by Scopus rankings placing it in the top percentiles across multiple categories. By upholding open-access principles, the journal ensures that scholarly work is readily available, facilitating broader engagement and knowledge transfer within the academic community and beyond.

International Journal of Innovative Computing Information and Control

Empowering research in computing and control.
Publisher: ICIC INTISSN: 1349-4198Frequency: 6 issues/year

International Journal of Innovative Computing Information and Control, published by ICIC INT, is a prominent platform dedicated to advancing the fields of computational theory, information systems, software engineering, and theoretical computer science. Since its inception in 2007, the journal has garnered attention for its rigorous peer-reviewed research and has established itself within the academic community, attaining a notable Q3 quartile ranking across its categories as of 2023. With an impressive track record of convergence from 2007 to 2024, this journal offers a wealth of insights and innovations for researchers and professionals striving to push the boundaries of technology and computing. While it operates under a subscription model, the journal's commitment to enhancing knowledge in the ever-evolving landscape of computational sciences makes it an essential resource for academics, providing timely articles that address contemporary challenges in the field.

Open Computer Science

Advancing the frontiers of computer science research.
Publisher: DE GRUYTER POLAND SP Z O OISSN: 2299-1093Frequency: 1 issue/year

Open Computer Science is a premier scholarly journal published by DE GRUYTER POLAND SP Z O O, dedicated to fostering innovative research and discussions in the rapidly evolving field of computer science. With an impact factor that places it in Q2 of the computer science (miscellaneous) category, as well as a commendable Scopus ranking of #80 out of 232 and a 65th percentile standing, this journal serves as a critical resource for researchers, professionals, and students alike. Since its inception in 2011 and having embraced the open access model, Open Computer Science promotes the dissemination of knowledge across a global audience, ensuring that cutting-edge research is accessible to all. By covering a broad range of topics within the realm of computer science, this journal is committed to advancing the discipline’s theoretical and practical boundaries. The journal is published in Germany and features robust editorial standards, ensuring the inclusion of high-quality, peer-reviewed articles that contribute significantly to the field.

Applied Computing Review

Exploring the Frontiers of Applied Computing
Publisher: ASSOC COMPUTING MACHINERYISSN: 1559-6915Frequency: 4 issues/year

Applied Computing Review is a prominent academic journal published by the Association for Computing Machinery (ACM), an esteemed organization known for advancing the computing profession. Focusing on the intersection of practical applications and theoretical foundations, this journal serves as a vital platform for disseminating research in the field of applied computing, facilitating knowledge sharing among researchers, professionals, and students alike. With an ISSN of 1559-6915, the journal encompasses a wide array of topics including software engineering, data analytics, and application development, addressing current trends and challenges in the industry. Although it does not offer open access, its rigorous peer-review process ensures high-quality publications that significantly contribute to the discipline. Positioned within a competitive landscape, Applied Computing Review is dedicated to fostering innovation and providing insightful perspectives that inspire further research, thereby solidifying its importance in the field of applied computing.

Frontiers in Computer Science

Driving the future of technology through scholarly exploration.
Publisher: FRONTIERS MEDIA SAISSN: Frequency: 1 issue/year

Frontiers in Computer Science is a premier open-access journal published by Frontiers Media SA that has rapidly established itself as a prominent platform for scholarly research in the diverse and evolving field of computer science. With a notable impact factor reflecting its high citation rates, this journal aims to disseminate innovative findings and groundbreaking studies across multiple subdisciplines, including Computer Science Applications, Computer Vision and Pattern Recognition, and Human-Computer Interaction. Since its inception in 2019, and with a consistent trajectory from 2019 to 2024, it has garnered accolades, achieving Q2 ranking in several categories and an impressive Q1 in miscellaneous areas of computer science. Researchers, professionals, and students alike are encouraged to contribute to this dynamic journal that serves as a vital resource for advancing knowledge and fostering collaborative dialogue in the global computer science community. Frontiers in Computer Science is committed to providing open access to research, promoting unrestricted sharing of ideas and fostering innovation at the intersection of technology and society.

International Journal of Agricultural and Environmental Information Systems

Unlocking Information for Sustainable Agricultural Practices
Publisher: IGI GLOBALISSN: 1947-3192Frequency: 4 issues/year

International Journal of Agricultural and Environmental Information Systems, published by IGI Global, is a leading platform for scholarly discourse bridging the domains of agriculture, environmental science, and information systems. With its ISSN 1947-3192 and E-ISSN 1947-3206, this esteemed journal has been pivotal in tackling key information challenges within these crucial fields since its inception in 2010, and it continues to evolve until 2024. Featuring articles ranked in the Q3 category for Information Systems based on Scopus metrics— where it proudly stands at Rank #105 out of 394—this journal occupies a significant position in advancing knowledge dissemination and applied research. The open access option broadens the reach of its valuable content, making it accessible to a diverse audience. The journal's objective is to foster interdisciplinary research and innovations that enhance sustainability in agricultural practices and environmental management. By subscribing to the latest studies and innovations, researchers, professionals, and students can leverage the insights published in the International Journal of Agricultural and Environmental Information Systems to significantly contribute to their fields and foster better decision-making in environmental stewardship and agricultural advancements.

KSII Transactions on Internet and Information Systems

Exploring New Dimensions in Digital Research.
Publisher: KSII-KOR SOC INTERNET INFORMATIONISSN: 1976-7277Frequency: 6 issues/year

KSII Transactions on Internet and Information Systems is a leading academic journal dedicated to advancing the fields of Internet technology and information systems. Published by the KSII-Kor Soc Internet Information, this journal has established itself as a significant contributor to research since its inception in 2007, with a focus on innovative solutions and methodologies in computer networks and communications as well as information systems. With a Category Quartile of Q3 in both fields for 2023, it ranks in the 44th percentile among its peers according to Scopus, making it a reputable platform for authors to share their findings. While available in print, the journal also promotes open access, ensuring broad dissemination of research findings. The editorial team is committed to maintaining high scholarly standards and relevance, inviting contributions from researchers, professionals, and students eager to push the boundaries of knowledge in today's rapidly evolving digital landscape. For those engaged in or studying these dynamic fields, the KSII Transactions on Internet and Information Systems remains an invaluable resource for cutting-edge research.

International Journal of Data Mining Modelling and Management

Advancing Insights through Innovative Data Mining
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1759-1163Frequency: 4 issues/year

International Journal of Data Mining Modelling and Management, published by InderScience Enterprises Ltd, is a prominent academic platform dedicated to the exploration and advancement of data mining techniques and their applications across various domains. Located in the picturesque environment of Geneva, Switzerland, this journal serves as a crucial resource for researchers, professionals, and students engaged in the fields of Computer Science, Management Information Systems, and Modeling and Simulation. With an ISSN of 1759-1163 and an E-ISSN of 1759-1171, the journal has steadily converged its scope from 2008 to 2024, emphasizing innovative methodologies and dynamic developments in data analytics. Although currently categorized in Q4 for several relevant fields according to 2023 quartiles, the journal is committed to elevating its impact and outreach through rigorous peer-reviewed research, making it an essential read for those aiming to stay at the forefront of data-driven decision-making and management practices. Whether you are a seasoned researcher or an eager student, the International Journal of Data Mining Modelling and Management offers invaluable insights and contributions to the evolving conversation in data science.

Stats

Advancing statistical knowledge for a brighter tomorrow.
Publisher: MDPIISSN: Frequency:

Stats, published by MDPI, serves as an invaluable open access platform dedicated to the fields of statistics and probability. Since its inception in 2018, the journal has been committed to disseminating high-quality research and promoting innovation in statistical methodologies through a rigorous peer-review process. Operating from Basel, Switzerland, Stats offers a global reach and aims to foster collaboration among researchers, professionals, and graduate students alike. With an impact factor indicating its emerging significance, the journal resides in the Q4 quartile of the statistics and probability category for 2023 according to Scopus rankings. This positions it within the evolving landscape of statistical research, enhancing its visibility and accessibility. Researchers are encouraged to contribute to this dynamic field and benefit from the journal's dedication to open access publishing, ensuring that research findings can reach a broad audience without barriers.

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING

Innovating the Future of Information Science.
Publisher: INST INFORMATION SCIENCEISSN: 1016-2364Frequency: 6 issues/year

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, published by the Institute of Information Science in Taiwan, is a pivotal platform for the dissemination of innovative research in the multidisciplinary fields of information science and engineering. Established in 1993, the journal primarily focuses on areas such as library and information sciences, human-computer interaction, hardware and architecture, as well as computational theory and software development. Despite holding a current Q4 ranking in several categories, the journal demonstrates significant potential for growth, particularly in computation and software systems, as evidenced by its Scopus rankings and percentiles. Researchers, professionals, and students will find this journal to be an invaluable resource to stay abreast of evolving theories and technologies in information science. The journal is accessible through traditional subscription models, fostering a broad academic outreach. It serves to enhance knowledge-sharing and collaboration within this dynamic and ever-evolving field.