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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2078598598
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Azzouz Elhamma (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Innovation: 1 paper
Claim outcomes
- Research Productivity: 1 paper
- Governance And Regulation: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| Green finance scholarship shifted sharply after 2015 and has since consolidated around five core topics — green finance, sustainable finance, green bonds, climate finance and climate change — creating a more coherent intellectual base for policy and market analysis. This maturity opens concrete opportunities for AI economists to target forecasting, pricing and text‑based monitoring applications, though bibliometrics alone do not establish causal policy impacts.openalex | Azzouz Elhamma provider id |
2026-08-06 | 0 |
Citation observation summary
Semantic Scholar 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.