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 span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5121561771
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- SeyyedAbdolHojjat MoghadasNian (openalex, provider refresh)
- SeyyedAbdolHojjat MoghadasNian (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Governance And Regulation: 1 paper
- Adoption Rate: 1 paper
- Other: 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 |
|---|---|---|---|
| Visionary airline leaders accelerate AI adoption and unlock both cost and fuel savings; reported applications of evolutionary and reinforcement-learning algorithms cut operating costs by 7–12% and fuel consumption by 6–10%, while transactional leadership skews efforts toward short-term efficiency.openalex | SeyyedAbdolHojjat MoghadasNian provider id |
2026-01-18 | 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.