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:
A5031009020
ORCID evidence
Observed aliases (4)
- Ahmed I. B. ElSeddawy (openalex, provider refresh)
- Ahmed I. B. ElSeddawy (openalex, source metadata)
- Ahmed Ibrahim Bahgat Elseddawy (openalex, provider refresh)
- Ahmed Ibrahim Bahgat Elseddawy (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Organizational Efficiency: 1 paper
- Firm Productivity: 1 paper
- Firm Revenue: 1 paper
- Other: 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 adoption in Egyptian logistics correlates with higher competitiveness—lower costs, better productivity and customer experience—but smaller firms struggle with high implementation costs, poor data and limited expertise, limiting early-stage gains.openalex | Ahmed Ibrahim Bahgat Elseddawy provider id |
2026-01-01 | 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.