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: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5118843517
ORCID evidence
Observed aliases (4)
- geruganti, sudhakar (openalex, provider refresh)
- geruganti, sudhakar (openalex, source metadata)
- Sudhakar Geruganti (openalex, provider refresh)
- Sudhakar Geruganti (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Labor Markets: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Wages: 1 paper
- Employment: 1 paper
- Firm Productivity: 1 paper
- Inequality: 1 paper
- Labor Share: 1 paper
- Other: 1 paper
- Skill Acquisition: 1 paper
- Task Allocation: 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 |
|---|---|---|---|
| Upskilling alone won't pay: India's large-scale training programmes can boost worker productivity yet fail to secure sustained wage gains unless linked to certification, employer recognition, apprenticeships and stronger labour-market institutions; without these, AI-driven productivity may widen rather than reduce wage gaps.openalex | geruganti, sudhakar provider id |
2026-08-23 | 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.