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 dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5134649560
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Vladimir S. Tormozov (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 1 paper
- Productivity: 1 paper
Claim outcomes
- Fiscal And Macroeconomic: 1 paper
- Employment: 1 paper
- Firm Productivity: 1 paper
- Other: 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 |
|---|---|---|---|
| AI lifted Russia's potential GDP in 2023–2025, driven primarily by productivity gains and process optimisation; however, benefits were uneven across industries and limited by digital readiness, human-resource shortages and institutional constraints.semantic_scholar | Vladimir S. Tormozov provider id |
Fetched 2026-05-01 | 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.