Editor's Comparative Analysis
When choosing between Big Data Mining and Analytics and Computational Science and Techniques, researchers should consider the trade-off between prestige (Computational Science and Techniques leads with an IF of 56.90) and cost-efficiency, as Big Data Mining and Analytics is a Diamond Open Access venue.
Big Data Mining and Analytics is published in CN, while Computational Science and Techniques is headquartered in LT. Both titles are verified via the JournalsHub Live Indexing Tracker for 2026.
| Academic Metric | Big Data Mining and Analytics | Computational Science and Techniques |
|---|---|---|
| General Information | ||
| Publisher | Tsinghua University Press | Klaipėda University |
| Country of Origin | CN | LT |
| Established | 2022 | 2014 |
| Editor-in-Chief | See Website | See Website |
| Scientific Influence | ||
| Current Impact Factor | N/A |
56.90
|
| Indexing Status |
DOAJ
|
DOAJ
|
| Review Speed (Decision) |
38 days
Fast-Track
|
53 days
Standard
|
| Acceptance Rate | N/A | N/A |
| Access & Publication Fees | ||
| Open Access Type | Full OA | Full OA |
| APC Fee (Estimated) | FREE (Diamond) | $150.00 |
Historical Impact Factor Comparison
About Big Data Mining and Analytics
Big Data Mining and Analytics is a prominent academic journal specializing in Electronic computers. Computer science. Published by Tsinghua University Press in CN, the journal serves as an essential platform for researchers to share high-quality scholarly work. It is fully Open Access publication identified by ISSN 2096-0654. The journal aims …
View Full ProfileAbout Computational Science and Techniques
Computational Science and Techniques is a prominent academic journal specializing in Electronic computers. Computer science. Published by Klaipėda University in LT, the journal serves as an essential platform for researchers to share high-quality scholarly work. It is fully Open Access publication identified by ISSN 2029-9966. With a current impact factor …
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