Journal Record · Medicine
The Lancet
U
Umair Abbasi
—
AI Engineer & Data Scientist | PhD Candidate, Artificial Intelligence
Last reviewedJuly 26, 2026
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Key Metrics
| Metric |
Value |
Source |
| Impact Factor (current) |
109 |
Clarivate JCR |
| Impact Factor (5-year) |
115.4 |
Clarivate JCR |
| CiteScore |
87.6 |
Elsevier/Scopus |
| SJR |
14.821 |
SCImago |
| SNIP |
22.724 |
CWTS Leiden |
| Quartile |
Q1 |
Clarivate JCR |
Publisher: Elsevier
Journal Information
- ISSN / eISSN
- 0140-6736 / 1474-547X
- Country
-
UK
- Subject Area(s)
-
Medicine
- Indexing
-
MEDLINE
PubMed
SCIE
Scopus
- Open Access
-
Hybrid
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