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
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5087730741
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Edson Takeshi Konda Nakamura (openalex, provider refresh)
- Edson Takeshi Konda Nakamura (openalex, source metadata)
- Eduardo Tomio Nakamura (openalex, provider refresh)
- Eduardo Tomio Nakamura (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
Claim outcomes
- Market Structure: 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 |
|---|---|---|---|
| Machine-learning trading algorithms could enable tacit collusion and price manipulation in securities markets, posing new risks for investors and regulators; policymakers should consider targeted detection, oversight and market-design safeguards to curb algorithm-driven anticompetitive conduct.openalex | Edson Takeshi Konda Nakamura provider id |
2026-01-26 | 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.