All fields · Hardware and Architecture
JournalQ2· SCImago 2025
Machine Learning: Science and Technology
ISSN 2632-2153
- Q2Quartile
- 48h-index
- 3papers summarised
About this journal
Machine Learning: Science and Technology is a Q2 journal by SCImago Journal Rank (2025 data) and an h-index of 48. Most of its papers in the Pofolia pool fall under Hardware and Architecture. Pofolia holds AI summaries of 3 paper(s) from this journal; the most cited is “Rediscovering orbital mechanics with machine learning” (90 citations).
The quartile (Q1–Q4) is the journal's percentile position within its subject area by SCImago Journal Rank; Q1 is the top 25%. What is a Q1 journal? · What is the h-index?
Most-cited papers in Hardware and Architecture →
Papers we summarise from this journal
- Rediscovering orbital mechanics with machine learning2023 · 90 citations
- Neural network methods for two-dimensional finite-source reflector design2026 · 0 citations
- AMD Versal AI-Engines for fixed latency environments2026 · 0 citations
Journals in the same field
| Journal | Quartile | SJR | Summaries |
|---|---|---|---|
| Proceedings of the IEEE | Q1 | 5.00 | 4 |
| ACM Computing Surveys | Q1 | 5.00 | 3 |
| Advanced Functional Materials | Q1 | 5.00 | 2 |
| ACS Nano | Q1 | 4.00 | 1 |
| Nature Communications | Q1 | 4.00 | 1 |
| Advanced Science | Q1 | 3.00 | 1 |
| Journal of Manufacturing Systems | Q1 | 3.00 | 1 |
| Geoscientific Model Development | Q1 | 2.00 | 2 |
| Small | Q1 | 2.00 | 1 |
| SIAM Review | Q1 | 2.00 | 1 |
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