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Big Data Mining and Analytics Impact Factor, Quartile, Indexing, Ranking

Big Data Mining and Analytics Impact Factor, Indexing, Ranking

Big Data Mining and Analytics (BDMA) is a scholarly journal dedicated to publishing research in the field of Computer Science, and Published by Institute of Electrical and Electronics Engineers. and its abbreviation is Big Data Min Anal.

The latest Impact Factor of the Big Data Mining and Analytics for 2024-2025 is 13.6.

There are no fees payable (APC) to submit or publish in this journal.

Big Data Mining and Analytics Aim and Scope

Big Data Mining and Analytics (Published by Tsinghua University Press) discovers hidden patterns, correlations, insights and knowledge through mining and analyzing large amounts of data obtained from various applications. It addresses the most innovative developments, research issues and solutions in big data research and their applications.

Big Data Mining and Analytics is indexed and abstracted in ESCI, EI, Scopus, DBLP Computer Science, Google Scholar, INSPEC, CSCD, DOAJ, CNKI, etc.

Big Data Mining and Analytics Details
Journal title Big Data Mining and Analytics (BDMA)
Abbreviation Big Data Min Anal
Online ISSN 2096-0654
Publisher Name Institute of Electrical and Electronics Engineers
Editor-in-chief Dr. Yi Pan, Shenzhen Institute of Advanced Technology, China
Subject Category Computer Science
Access type Logo of open access journals Open Access
Status 🟢 Active

Big Data Mining and Analytics 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 Big Data Mining and Analytics

Impact Factor 13.6
SJR 2.533
SNIP 3.299
Ranking 1430
CiteScore 17.7
H-Index 30
Quartile Q1
Big Data Mining and Analytics Impact Factor List

Big Data Mining and Analytics 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

Big Data Mining and Analytics 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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Big Data Mining and Analytics Sources
https://journalsinsights.com/open-access-journals

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