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 →
2Distinct papers
4Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2025–2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2357411059
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Mohammed Alomair (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 2 papers
- Innovation: 2 papers
- Governance: 1 paper
Claim outcomes
- Other: 2 papers
- Research Productivity: 1 paper
- Innovation Output: 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 |
|---|---|---|---|
| Firms that disclose stronger AI capability generate more eco-innovation, and the payoff is larger in digitally advanced countries; national digital ecosystems amplify firms’ ability to convert AI investments into sustainable innovation.openalex | Mohammed Alomair provider id |
2026-07-28 | 0 |
| In emerging Asia, firms with stronger AI capabilities produce greener innovations more efficiently, but the environmental payoff is substantially larger when firms have robust ESG practices; AI alone is insufficient without governance that fosters transparency and accountability.openalex | Mohammed Alomair provider id |
2025-12-31 | 24 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 24 cumulative citations. This is a coverage summary, not an author score or h-index.