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
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5055287081
ORCID evidence
Observed aliases (2)
- K. P. Venugopala Rao (openalex, provider refresh)
- K. P. Venugopala Rao (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
Claim outcomes
- Firm Revenue: 1 paper
- Governance And Regulation: 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 |
|---|---|---|---|
| Banks that talk openly about AI attract more customer deposits in India, with public sector lenders benefitting most; private banks show a credibility gap from weaker disclosure. The study interprets voluntary AI reporting as a signaling mechanism that bolsters depositor trust, though evidence is correlational and based on a small sample of listed banks.openalex | K. P. Venugopala Rao provider id |
2025-12-05 | 1 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.