Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5096130850
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Fazli Shermatov (openalex, provider refresh)
- Fazli Shermatov (openalex, source metadata)
- Fazliddin Shermatov (openalex, provider refresh)
- Fazliddin Shermatov (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Inequality: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Combining AI with supercomputing yields disproportionately novel and highly cited science, but the computational advantages are consolidating in a handful of regions—chiefly the United States and China—raising the prospect of widening global disparities in discovery.openalex | Fazliddin Shermatov provider id |
2026-07-25 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.