Editor's Comparative Analysis
When choosing between Logical Methods in Computer Science 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 Logical Methods in Computer Science is a Diamond Open Access venue.
Logical Methods in Computer Science is published in DE, while Big Data Mining and Analytics is headquartered in CN. Both titles are verified via the JournalsHub Live Indexing Tracker for 2026.
| Academic Metric | Logical Methods in Computer Science | Big Data Mining and Analytics |
|---|---|---|
| General Information | ||
| Publisher | Logical Methods in Computer Science e.V. | Tsinghua University Press |
| Country of Origin | DE | CN |
| Established | 2004 | 2022 |
| Editor-in-Chief | See Website | See Website |
| Scientific Influence | ||
| Current Impact Factor |
56.90
|
N/A |
| Indexing Status |
DOAJ
|
DOAJ
|
| Review Speed (Decision) | Unknown |
38 days
Fast-Track
|
| Acceptance Rate | N/A | N/A |
| Access & Publication Fees | ||
| Open Access Type | Full OA | Full OA |
| APC Fee (Estimated) | FREE (Diamond) | FREE (Diamond) |
Historical Impact Factor Comparison
About Logical Methods in Computer Science
Logical Methods in Computer Science is a prominent academic journal specializing in Electronic computers. Computer science and Logic. Published by Logical Methods in Computer Science e.V. in DE, the journal serves as an essential platform for researchers to share high-quality scholarly work. It is fully Open Access publication identified by …
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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