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
17Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5020514740
ORCID evidence
Observed aliases (2)
- Andreas Gregoriades (openalex, provider refresh)
- Andreas Gregoriades (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
Claim outcomes
- Ai Safety And Ethics: 1 paper
- Research Productivity: 1 paper
- Consumer Welfare: 1 paper
- Other: 1 paper
- Regulatory Compliance: 1 paper
- Training Effectiveness: 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 and blockchain are promising tools to curb fraud across alternative finance platforms, yet the field is held back by a dearth of labeled fraud data and inconsistent evaluation practices, limiting robust evidence on real-world effectiveness.openalex | Andreas Gregoriades provider id |
2026-07-31 | 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.