Editor's Comparative Analysis
When choosing between Computational Science and Techniques and Big Data Mining and Analytics, researchers should consider the trade-off between prestige (Big Data Mining and Analytics leads with an IF of ) and cost-efficiency, as Big Data Mining and Analytics is a Diamond Open Access venue.
Computational Science and Techniques is published in LT, while Big Data Mining and Analytics is headquartered in CN. Both titles are verified via the JournalsHub Live Indexing Tracker for 2026.
| Academic Metric | Computational Science and Techniques | Big Data Mining and Analytics |
|---|---|---|
| General Information | ||
| Publisher | Klaipėda University | Tsinghua University Press |
| Country of Origin | LT | CN |
| Established | 2014 | 2022 |
| Editor-in-Chief | See Website | See Website |
| Scientific Influence | ||
| Current Impact Factor |
56.90
|
N/A |
| Indexing Status |
DOAJ
|
DOAJ
|
| Review Speed (Decision) |
53 days
Standard
|
38 days
Fast-Track
|
| Acceptance Rate | N/A | N/A |
| Access & Publication Fees | ||
| Open Access Type | Full OA | Full OA |
| APC Fee (Estimated) | $150.00 | FREE (Diamond) |
Historical Impact Factor Comparison
About 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 …
View Full ProfileAbout 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 …
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