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:
A5125228034
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Shanmugaraja Krishnasamy Venugopal (openalex, provider refresh)
- Shanmugaraja Krishnasamy Venugopal (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Worker Satisfaction: 1 paper
- Turnover: 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-driven behavioral analytics can flag early burnout and help target workplace interventions, promising better retention and wellbeing; however, evidence is patchy and real-world impact is constrained by transferability, privacy, and leadership context.openalex | Shanmugaraja Krishnasamy Venugopal provider id |
2026-02-06 | 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.