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: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5121659961
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Afreen Begum, Prof. Mohd. Razaullah Khan (openalex, provider refresh)
- Afreen Begum, Prof. Mohd. Razaullah Khan (openalex, source metadata)
- Prof. Mohd. Razaullah Khan Afreen Begum (openalex, provider refresh)
- Prof. Mohd. Razaullah Khan Afreen Begum (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Productivity: 1 paper
Claim outcomes
- Firm Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Other: 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 adoption at three Indian banks coincides with large estimated efficiency gains—average cost-efficiency rises from 90.6% to 99.9%—and a reported ~0.8 percentage-point boost to ROA; however, the result rests on three banks and a simple pre/post design without exogenous identification.openalex | Afreen Begum, Prof. Mohd. Razaullah Khan provider id |
2025-12-31 | 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.