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
1Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5124857588
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Danil S. KRASOVSKIKH (openalex, provider refresh)
- Danil S. Krasovskikh (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Governance And Regulation: 1 paper
- Research Productivity: 1 paper
- Market Structure: 1 paper
- Skill Acquisition: 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 |
|---|---|---|---|
| Russia’s extractive industries trail the US, China and EU in AI investment and digitalization; the shortfall is structural — fragmented data access, talent shortages, weak infrastructure and institutional failures, not just low spending, are blocking scaling and call for coordinated institutional reforms.semantic_scholar | Danil S. Krasovskikh provider id |
Fetched 2026-03-12 | 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.