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Journal of Big Data is no. 1 in Google Scholar Big Data publications!

Featured Collections on Computationally Intensive Problems in General Math and Engineering

This two-part special issue covers computationally intensive problems in engineering and focuses on mathematical mechanisms of interest for emerging problems such as Partial Difference Equations, Tensor Calculus, Mathematical Logic, and Algorithmic Enhancements based on Artificial Intelligence. Applications of the research highlighted in the collection include, but are not limited to: Earthquake Engineering, Spatial Data Analysis, Geo Computation, Geophysics, Genomics and Simulations for Nature Based Construction, and Aerospace Engineering. Featured lead articles are co-authored by three esteemed Nobel laureates: Jean-Marie Lehn, Konstantin Novoselov, and Dan Shechtman.

Open Special Issues

Big Data and Data-driven in Sports
Submission Deadline: 30 September 2025

View our collection of open and closed special issues

Read our guidelines for special issue proposals here.

Articles

Aims 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.

Top 10 Most Cited Articles 2024

A review of graph neural networks: concepts, architectures, techniques, challenges, datasets, applications, and future directions
Authors: Bharti Khemani, Shruti Patil, Ketan Kotecha, Sudeep Tanwar 

Plant disease detection and classification techniques: a comparative study of the performances
Authors: Wubetu Barud Demilie

Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction
Authors: Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, Khondokar Fida Hasan, Selina Sharmin, Salem A. Alyami, Mohammad Ali Moni 

Feature selection strategies: a comparative analysis of SHAP-value and importance-based methods
Authors: Huanjing Wang, Qianxin Liang, John T. Hancock, Taghi M. Khoshgoftaar

Read the rest of the list here.

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Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 8.6
    5-year Journal Impact Factor: 12.4
    Source Normalized Impact per Paper (SNIP): 3.853
    SCImago Journal Rank (SJR): 2.068

    Speed 2024
    Submission to first editorial decision (median days): 47
    Submission to acceptance (median days): 193

    Usage 2024
    Downloads: 2,695,156
    Altmetric mentions: 314