Journal of Big Data Impact Factor, Quartile, Indexing, Ranking

Journal of Big Data Impact Factor, Indexing, Ranking

Journal of Big Data (JBD) is a scholarly journal dedicated to publishing research in the field of Decision Sciences, and Published by Springer. and its abbreviation is J Big Data.

The latest Impact Factor of the Journal of Big Data for 2024-2025 is 8.1.

The Publicaiton fees (APC) is 1690 EUR, 1990 USD, 1290 GBP.


Journal of Big Data Aim and Scope

The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.

The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.


Journal of Big Data Details


Journal title Journal of Big Data (JBD)
Abbreviation J Big Data
Online ISSN 2196-1115
Publisher Name Springer
Editor-in-chief Borko Furht, Florida Atlantic University, USA
Subject Category Decision Sciences
Access type Logo of open access journals Open Access
Status 🟢 Active

Journal of Big Data Metrics and Rankings

In the context of academic journals, "Metrics and Rankings" refer to various measures and evaluations used to assess the quality, influence, and impact of a journal.

Below are the metrics and rankings for the journal Journal of Big Data

Impact Factor 8.1
SJR 2.714
SNIP 5.095
Ranking 1292
CiteScore 23.9
H-Index 61
Quartile Q1
Journal of Big Data Impact Factor List

Journal of Big Data Review Time

Journal review time is basically how long it takes for experts to read and decide whether an article is good enough to be published in a journal.

Review Time 181 days

Journal of Big Data Abstracting and Indexing

Abstracting and Indexing (A&I) refers to the processes that help organize and categorize academic journals, making them easier to find and access for researchers and scholars

Abstracting and Indexing

Journal of Big Data Submission

If you would like to submit a manuscript or visit the journal's website, please click on the link below.

Journal Submission 🔗 Journal Website

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