International Journal of Data Science and Analytics

metrics 2024

Bridging Theory and Practice in Data Science

Introduction

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.

Metrics 2024

SCIMAGO Journal Rank0.74
Journal Impact Factor3.40
Journal Impact Factor (5 years)2.60
H-Index31
Journal IF Without Self3.40
Eigen Factor0.00
Normal Eigen Factor0.32
Influence0.62
Immediacy Index0.50
Cited Half Life2.80
Citing Half Life6.10
JCI0.59
Total Documents452
WOS Total Citations949
SCIMAGO Total Citations2186
SCIMAGO SELF Citations134
Scopus Journal Rank0.74
Cites / Document (2 Years)5.02
Cites / Document (3 Years)4.05
Cites / Document (4 Years)3.83

Metrics History

Rank 2024

Scopus

Applied Mathematics in Mathematics
Rank #61/635
Percentile 90.39
Quartile Q1
Modeling and Simulation in Mathematics
Rank #48/324
Percentile 85.19
Quartile Q1
Computational Theory and Mathematics in Computer Science
Rank #28/176
Percentile 84.09
Quartile Q1
Information Systems in Computer Science
Rank #112/394
Percentile 71.57
Quartile Q2
Computer Science Applications in Computer Science
Rank #232/817
Percentile 71.60
Quartile Q2

IF (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 78/197
Percentile 60.70
Quartile Q2
COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank 87/249
Percentile 65.30
Quartile Q2

JCI (Web Of Science)

COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Rank 101/198
Percentile 48.99
Quartile Q3
COMPUTER SCIENCE, INFORMATION SYSTEMS
Rank 135/251
Percentile 46.22
Quartile Q3

Quartile History

Similar Journals

INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY

Elevating discourse in computer science and technology applications.
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 0952-8091Frequency: 8 issues/year

International Journal of Computer Applications in Technology is a reputable academic journal published by InderScience Enterprises Ltd, dedicated to advancing the field of computer applications across various domains including Computer Networks and Communications, Computer Science Applications, and more. With an ISSN of 0952-8091 and an E-ISSN of 1741-5047, this journal has been a credible source of research since its inception in 1976, transitioning into its current form in 1988. With its consistent rank in the Q3 quartile for several key engineering and computer science categories in 2023, it highlights the significance of the journal and its contributions to ongoing discourse in these fields. Researchers benefit from its wide-ranging scope, which encompasses both theoretical and practical applications of technology, making it an invaluable resource for both industry professionals and academic scholars. Although it currently does not provide open access, the journal remains committed to disseminating high-quality research that is essential for technological advancement and innovation.

JOURNAL OF VISUALIZATION

Charting the future of visualization in academia and beyond.
Publisher: SPRINGERISSN: 1343-8875Frequency: 4 issues/year

JOURNAL OF VISUALIZATION, published by Springer, is a pioneering platform dedicated to advancing the fields of condensed matter physics, electrical and electronic engineering, and computer graphics through innovative visualization techniques. With an ISSN of 1343-8875 and an E-ISSN of 1875-8975, this esteemed journal has been an essential resource since its inception in 1998, and continues to shape the landscape of visualization research, boasting a Q2 ranking in key academic categories as of 2023. The journal's commitment to high-quality research is reflected in its Scopus rankings, where it stands at #47 in Computer Graphics and Computer-Aided Design, #388 in Electrical Engineering, and #222 in Condensed Matter Physics. While the journal subscribes to a traditional access model, it remains a critical outlet for researchers and professionals seeking to disseminate their findings amidst evolving technological and scientific paradigms. Situated in Germany, the JOURNAL OF VISUALIZATION encompasses a diverse array of articles that not only highlight theoretical advances but also practical applications, making it a vital resource for anyone engaged in the confluence of visual analytics and technology.

International Journal of Data Mining and Bioinformatics

Illuminating the Path of Data-Driven Biological Exploration.
Publisher: INDERSCIENCE ENTERPRISES LTDISSN: 1748-5673Frequency: 4 issues/year

The International Journal of Data Mining and Bioinformatics, published by InderScience Enterprises Ltd, stands as a crucial platform for researchers and professionals dedicated to the intersection of data science and biological informatics. With its ISSN 1748-5673 and E-ISSN 1748-5681, this journal captures the essence of innovative research from 2006 to 2024. Though indexed in the Q4 category for Biochemistry, Genetics and Molecular Biology and Information Systems, it maintains a respectable Q3 status in Library and Information Sciences, reflecting its growing influence within the academic community. The journal also provides insightful contributions to the fields of big data analytics, machine learning, and computational biology. Although it is not currently an open-access journal, its relevance is underscored by its Scopus rankings, indicating a solid standing in the disciplines it encompasses. Researchers, students, and practitioners in data mining and bioinformatics are encouraged to explore the findings and methodologies presented, paving the way for future innovations in this dynamic field.

PeerJ Computer Science

Pioneering Open Access for Tomorrow's Innovators
Publisher: PEERJ INCISSN: Frequency: 1 issue/year

PeerJ Computer Science is a leading open access journal published by PEERJ INC, dedicated to the field of computer science. Since its inception in 2015, it has made significant strides in promoting scholarly communication and accessibility to cutting-edge research. With an impressive impact factor reflected by a Q1 ranking in the Computer Science (miscellaneous) category and a Scopus rank of 51 out of 232, this journal stands at the forefront of its field. The journal's open access model ensures that groundbreaking findings are readily available to researchers, professionals, and students alike, fostering collaboration and innovation in the ever-evolving landscape of computer science. As it continues to publish until 2024 and beyond, PeerJ Computer Science remains an essential resource for those seeking to stay ahead in their research and practice.

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.

Big Data Research

Leading the charge in big data advancements.
Publisher: ELSEVIERISSN: 2214-5796Frequency: 4 issues/year

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.

Big Data and Cognitive Computing

Unlocking Insights, Empowering Innovation.
Publisher: MDPIISSN: Frequency: 4 issues/year

Big Data and Cognitive Computing is a premier open-access journal published by MDPI, dedicated to advancing research in the dynamic fields of artificial intelligence, computer science, information systems, and management information systems. Since its inception in 2017, the journal has established a significant presence, reflected in its impressive categorization within the Q2 quartiles for multiple disciplines in the 2023 rankings. Situated in Switzerland, the journal provides a vital platform for researchers, professionals, and students to publish groundbreaking work and access high-quality articles, enhancing the exploration of big data applications powered by cognitive computing. With an increasing global emphasis on data-driven decision-making, Big Data and Cognitive Computing offers unrestricted access to innovative research findings, addressing both theoretical and practical aspects. The journal's contributions are integral for those looking to stay at the forefront of technological advancements and their implications across various sectors.

Intelligent Data Analysis

Unlocking Insights Through Intelligent Data Exploration
Publisher: IOS PRESSISSN: 1088-467XFrequency: 6 issues/year

Intelligent Data Analysis is a highly regarded journal published by IOS Press, specializing in the fields of Artificial Intelligence, Computer Vision, and Pattern Recognition. With its ISSN 1088-467X and E-ISSN 1571-4128, the journal has been a cornerstone of scholarly communication since its inception in 1997, serving as a vital resource for researchers, professionals, and students engaged in advancing methodologies and applications in intelligent data analysis. The journal maintains its significance with impressive Scopus ranks, indicating its notable position within the academic community. Although currently not an Open Access journal, Intelligent Data Analysis offers a wealth of insights and findings, encouraging collaboration and knowledge exchange among its readership. With an impact factor reflective of its rigorous selection processes, the journal traverses a broad range of topics, contributing to ongoing discussions and innovations in its field. As the journal looks toward shaping future research until 2024 and beyond, it remains a pivotal platform for disseminating cutting-edge research and fostering academic inquiry.

Stats

Innovating statistical methodologies for global impact.
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.

Data & Policy

Empowering Decisions Through Data Insights.
Publisher: CAMBRIDGE UNIV PRESSISSN: Frequency: 1 issue/year

Data & Policy is a premier open-access journal published by Cambridge University Press, dedicated to advancing the fields of Artificial Intelligence, Computer Science, Public Administration, and the broader Social Sciences. With its inception in 2020, the journal has quickly gained recognition, reflected in its impressive 2023 Scopus rankings—placing it in the top quartiles across multiple categories. Emphasizing the intersection of data utilization and policy-making, Data & Policy provides an essential platform for researchers, policymakers, and professionals looking to navigate and enhance the impact of data-driven decisions in society. Accessible to a global audience without subscription barriers, this journal offers valuable insights and contemporary research that are vital for educators, practitioners, and emerging scholars alike. Located in the United Kingdom, Data & Policy continues to contribute to shaping the dialogue around the ethical use of data and its implications in shaping public policy and governance.