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
3Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5025399268
ORCID evidence
Observed aliases (4)
- Anna Vorontsova (openalex, provider refresh)
- Anna Vorontsova (openalex, source metadata)
- Анна Воронцова (openalex, provider refresh)
- Анна Воронцова (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Innovation: 1 paper
Claim outcomes
- Other: 1 paper
- Research Productivity: 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 |
|---|---|---|---|
| Countries that publish more AI research tend to be better prepared for AI: Scopus publication counts explain 46% of variation in the IMF AI Preparedness Index across 173 countries, concentrated in high‑income nations and the Americas; low‑income countries show little alignment, underscoring structural capacity gaps.openalex | Anna Vorontsova provider id |
2026-08-27 | 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.