Studies in Big Data

eISSN: 2197-6511pISSN: 2197-6503

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Key Metrics

CiteScore
3.2
SNIP
0.37

Journal Specifications

Overview
  • Publisher
    Springer Nature

FAQs

Who is the publisher of Studies in Big Data? Faqs

The publisher of Studies in Big Data is Springer Nature.

How can I view the journal metrics of Studies in Big Data on editage? Faqs

For the Studies in Big Data metrics, please refer to the section above on the page.

What is the eISSN and pISSN number of Studies in Big Data? Faqs

The eISSN number is 2197-6511 and pISSN number is 2197-6503 for Studies in Big Data.

What is the focus of this journal? Faqs

The journal covers a wide range of topics inlcuding Artificial intelligence, Tropical cyclogenesis, Maximum power point tracking, Big data, Cluster analysis, Deep learning, Stock price forecasting, Renewable energy, Photovoltaic system, Big data processing, Computer vision, Flywheel energy storage system, Boost inverter, Vector control, Optimal control design, Peak current, Traffic conditions, Fuzzy logic controller.

Why is it important to find the right journal for my research? Faqs

Choosing the right journal ensures that your research reaches the most relevant audience, thereby maximizing its scholarly impact and contribution to the field.

Can the choice of journal affect my academic career? Faqs

Absolutely. Publishing in reputable journals can enhance your academic profile, making you more competitive for grants, tenure, and other professional opportunities.

Is it advisable to target high-impact journals only? Faqs

While high-impact journals offer greater visibility, they are often highly competitive. It's essential to balance the journal's impact factor with the likelihood of your work being accepted.