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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5108784497
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Ovchinnikov, Stanislav (openalex, provider refresh)
- Ovchinnikov, Stanislav (openalex, source metadata)
- Stanislav Ovchinnikov (openalex, provider refresh)
- Stanislav Ovchinnikov (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Other: 1 paper
- Firm Revenue: 1 paper
- Consumer Welfare: 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 |
|---|---|---|---|
| Reinforcement-learning portfolios can meaningfully improve sustainability metrics while keeping returns stable: agents trained with ESG and sector CO2 inputs produce portfolios with markedly better ESG/emission scores than traditional Modern Portfolio Theory allocations, though pure return-focused agents still deliver the highest profitability.openalex | Ovchinnikov, Stanislav provider id |
2026-01-01 | 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.