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: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5125132670
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Cecep Taofiqurrochman (openalex, provider refresh)
- Cecep Taofiqurrochman (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Org Design: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Decision Quality: 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 |
|---|---|---|---|
| A Random Forest model accurately classifies loan-restructuring outcomes in one Indonesian rural bank, with prior collectibility, collateral and arrears driving predictions; authors recommend risk-based segmentation, stronger post-restructure monitoring and integration into a decision-support system, but findings are limited by single-bank, single-year data and limited validation.openalex | Cecep Taofiqurrochman provider id |
2026-09-09 | 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.