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
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2367838278
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Manjunath Rallabandi (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Regulatory Compliance: 1 paper
- Governance And Regulation: 1 paper
- Adoption Rate: 1 paper
- Firm Revenue: 1 paper
- Market Structure: 1 paper
- Task Completion Time: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar 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 |
|---|---|---|---|
| A hybrid cloud finance stack combining SaaS, PaaS and blockchain cut invoice and reconciliation cycle times by 87.5% and improved compliance efficiency by 40% in EPC pilot deployments, while AI analytics boosted cash-flow visibility—though the results come from limited, non-randomized pilots and require careful validation at scale.openalex | Manjunath Rallabandi provider id |
2026-03-09 | 0 |
Citation observation summary
Semantic Scholar 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.