Big Data Mining and Analytics Impact Factor, Quartile, 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 2026-2027 is 13.6.
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 | 🟢 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 | 859 |
| CiteScore | 17.7 |
| H-Index | 30 |
| Quartile | Q1 |
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 |
