Big Data Research

metrics 2024

Exploring the future of data science.

Introduction

Big Data Research, published by Elsevier, is a leading academic journal dedicated to the exploration and advancement of Big Data methodologies and technologies. With an ISSN of 2214-5796, and a commendable impact reflected in its Scopus rankings—ranking Q2 in Computer Science Applications and Q1 in Information Systems—this journal offers a prominent platform for researchers and practitioners to share innovative findings in the realm of data science, analytics, and management. Since its inception in 2014, Big Data Research has fostered a multidisciplinary approach, addressing cutting-edge topics crucial for both academic inquiry and real-world applications. The journal's objectives include advancing the understanding of data-intensive systems, promoting essential methodologies for big data analytics, and enhancing data-driven decision-making processes across various industries. As an open access journal, Big Data Research is committed to disseminating knowledge widely, allowing researchers, professionals, and students to stay at the forefront of developments in this fast-evolving field. Its influence in the academic community is further underscored by a strong commitment to quality and relevance, making it an essential resource for anyone interested in the transformative power of big data.

Metrics 2024

SCIMAGO Journal Rank0.87
Journal Impact Factor3.50
Journal Impact Factor (5 years)3.50
H-Index38
Journal IF Without Self3.50
Eigen Factor0.00
Normal Eigen Factor0.26
Influence0.77
Immediacy Index0.50
Cited Half Life3.00
Citing Half Life5.10
JCI0.81
Total Documents294
WOS Total Citations966
SCIMAGO Total Citations3282
SCIMAGO SELF Citations55
Scopus Journal Rank0.87
Cites / Document (2 Years)4.98
Cites / Document (3 Years)5.12
Cites / Document (4 Years)4.96

Metrics History

Rank 2024

Scopus

Management Information Systems in Business, Management and Accounting
Rank #21/131
Percentile 83.97
Quartile Q1
Computer Science Applications in Computer Science
Rank #146/817
Percentile 82.13
Quartile Q1
Information Systems and Management in Decision Sciences
Rank #28/148
Percentile 81.08
Quartile Q1
Information Systems in Computer Science
Rank #74/394
Percentile 81.22
Quartile Q1

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 75/197
Percentile 62.20
Quartile Q2
COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank 83/249
Percentile 66.90
Quartile Q2
COMPUTER SCIENCE, THEORY & METHODS
Rank 31/143
Percentile 78.70
Quartile Q1

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 68/198
Percentile 65.66
Quartile Q2
COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank 101/251
Percentile 59.76
Quartile Q2
COMPUTER SCIENCE, THEORY & METHODS
Rank 40/143
Percentile 72.03
Quartile Q2

Quartile History

Similar Journals

Journal of Big Data

Unlocking the Potential of Big Data Technologies
Publisher: SPRINGERNATUREISSN: Frequency: 1 issue/year

Journal of Big Data, published by SPRINGERNATURE, is a leading academic journal dedicated to advancing the understanding and application of big data technologies and methodologies across various domains. Since its inception in 2014, this Open Access journal has gained recognition for its rigorous peer-reviewed research, boasting impressive rankings in multiple categories in Scopus, including Q1 in Computer Networks and Communications and Q1 in Information Systems. With its impactful contributions, the journal is positioned at the forefront of scholarly work on big data, addressing critical topics such as data analytics, storage, visualization, and applied data science. Its global reach and commitment to disseminating knowledge ensure that researchers, professionals, and students have equitable access to groundbreaking findings that empower advancements in technology and information systems. The Journal of Big Data continues to foster collaboration and inspire new research avenues leading to tangible impacts in the field.

International Journal of e-Collaboration

Unveiling Insights for Effective e-Collaboration
Publisher: IGI GLOBALISSN: 1548-3673Frequency: 4 issues/year

International Journal of e-Collaboration (ISSN: 1548-3673, E-ISSN: 1548-3681), published by IGI Global, is an influential academic journal dedicated to exploring the dynamic field of collaboration facilitated by electronic means. With a focus spanning from 2005 to 2024, this journal addresses critical aspects of e-collaboration within the realms of Computer Networks and Communications and Computer Science Applications, which are reflected in its current Scopus rankings. Though categorized in the lower quartiles (Q4) for both areas as of 2023, the journal provides a vital platform for researchers and professionals to disseminate and discuss innovative ideas and methodologies, contributing meaningfully to ongoing dialogues in these fields. As the demand for effective electronic collaboration continues to rise in both academia and industry, the International Journal of e-Collaboration remains a significant resource for those seeking to enhance their understanding and application of collaborative technologies. While not an open access publication, it offers a wealth of knowledge and insights that are crucial for academics, practitioners, and students alike in fostering successful collaborative environments.

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING

Exploring New Frontiers in Computational Theory.
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.

Big Data & Society

Innovating Research on Big Data's Societal Implications
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.

Frontiers in Computer Science

Celebrating innovation and dialogue in the global computer science community.
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 Data Science and Analytics

Fostering Global Dialogue in Data Science Research
Publisher: SPRINGERNATUREISSN: 2364-415XFrequency: 4 issues/year

International Journal of Data Science and Analytics, published by SpringerNature, is a leading peer-reviewed journal dedicated to advancing the fields of data science and analytics. Since its inception in 2016, the journal has become an essential platform for researchers, professionals, and students, promoting the exchange of innovative ideas and cutting-edge research. With an impressive categorization in Q2 across multiple domains including Applied Mathematics, Computational Theory and Mathematics, and Information Systems, it demonstrates a notable impact within the academic community, as reflected by its high rankings in various Scopus categories. The journal emphasizes rigorous methodologies and practical applications of data science, making it a valuable resource for those seeking to enhance their understanding and application of data-driven solutions. Although it currently does not operate as an open-access journal, it is committed to disseminating high-quality research that shapes the future of analytics and computation. The journal's headquarters in Switzerland further enriches its international scope, fostering a global dialogue among scholars and practitioners alike.

Communications for Statistical Applications and Methods

Innovating Statistics for Diverse Applications
Publisher: KOREAN STATISTICAL SOCISSN: 2287-7843Frequency: 6 issues/year

Communications for Statistical Applications and Methods is a vital academic journal dedicated to advancing the field of statistics, with a particular focus on practical applications and methodologies. Published by the Korean Statistical Society, this journal has become a significant resource for researchers, practitioners, and students engaged in statistical sciences and its diverse applications in various fields including finance and modeling. Operating without an Open Access format, the journal is accessible through institutional subscriptions, allowing a broad audience to benefit from its insights. The journal covers works from its inception in 2017 to 2024, and although it currently ranks in the Q4 and Q3 quartiles across various mathematical and statistical categories, its commitment to quality research makes it a noteworthy platform for emerging trends and innovations. The journal not only serves to disseminate knowledge but also fosters collaboration among statisticians, ensuring that crucial advancements in statistical applications are communicated effectively.

International Journal of Innovative Computing Information and Control

Exploring cutting-edge theories in information systems.
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.

Big Data

Transforming data into insights.
Publisher: MARY ANN LIEBERT, INCISSN: 2167-6461Frequency: 6 issues/year

Big Data, an esteemed journal published by MARY ANN LIEBERT, INC, serves as a leading platform within the realms of computer science and information systems. Launched in 2013, this journal has made significant strides in shaping the discourse around the management, analysis, and applications of large-scale data. With a commendable impact factor reflected in its 2023 quartile rankings—Q1 in Information Systems and Management, and Q2 in both Computer Science Applications and Information Systems—Big Data is recognized for its quality and influence, holding a notable position in Scopus rankings. Renowned for its rigorous peer-review process, the journal welcomes original research, reviews, and discussions that address the challenges and innovations associated with big data technologies. Researchers, professionals, and students alike will find Big Data an indispensable resource that not only highlights emerging trends but also fosters collaboration and knowledge sharing within the data science community. Access options are available through institutional subscriptions and individual access, ensuring a broad dissemination of critical research findings.

International Journal of Intelligent Computing and Cybernetics

Pioneering Interdisciplinary Insights in Computing and Cybernetics
Publisher: EMERALD GROUP PUBLISHING LTDISSN: 1756-378XFrequency: 4 issues/year

The International Journal of Intelligent Computing and Cybernetics, published by EMERALD GROUP PUBLISHING LTD, serves as a pivotal platform for advancing the field of intelligent computing and cybernetics since its inception in 2008. With a strong focus on innovative research and interdisciplinary collaboration, this journal is positioned in the prestigious Q2 category of Computer Science, ranking at an impressive 42nd out of 232 in Scopus, reflecting an 82nd percentile performance. The journal provides a venue for scholars and practitioners to disseminate their findings on cutting-edge technologies and methodologies that bridge the realms of computing, artificial intelligence, and cybersecurity. Although currently not an open-access journal, it widely circulates valuable insights essential for driving forward academic discourse and practical applications in the rapidly evolving digital landscape. Researchers, professionals, and students are encouraged to engage with this journal to stay at the forefront of advancements in intelligent systems and cybernetic solutions.