Journal Record · Artificial Intelligence
High-confidence Computing
U
Umair Abbasi
—
AI Engineer & Data Scientist | PhD Candidate, Artificial Intelligence
Last reviewedAugust 8, 2026
Last verified: August 2026
On this page
Key Metrics
| Metric |
Value |
Source |
| Impact Factor (current) |
11.9 |
Clarivate JCR |
| Quartile |
Q1 |
Clarivate JCR |
Journal Information
- Subject Area(s)
-
Artificial Intelligence
Information Systems
Reviewed by Umair Abbasi
AI Engineer & Data Scientist | PhD Candidate, Artificial Intelligence
Umair Abbasi is an AI Engineer and Data Scientist with a background in machine learning, AI agents, and MLOps, currently pursuing a PhD in Artificial Intelligence and holding a completed M.S. in Data Science. He leads the data architecture and tooling behind the journal metrics database and comparison tools. As an active researcher navigating journal selection and citation metrics in his own academic work, he brings a practitioner's perspective to how impact factor, CiteScore, and related metrics are actually used — not just how they're defined.
Credentials & Expertise:
- M.S., Data Science (completed)
- PhD Candidate, Artificial Intelligence (in progress)
- Machine Learning Specialization — Stanford University (Coursera)
- Google Data Analytics Professional Certificate
Frequently asked questions
What is the 2026 Impact Factor of High-confidence Computing?
The current Journal Impact Factor of High-confidence Computing is 11.9 (Clarivate Journal Citation Reports). See the Key Metrics table on this page for the full metric set.
Is High-confidence Computing a Q1 or Q2 journal?
Yes — High-confidence Computing is ranked Q1 in Artificial Intelligence. See the Journal Information section on this page for category details.