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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Advancement and Future Outlook of Artificial Intelligence in Assessment Of Climate Change Impact in Nigeria

2025NIPES Journal of Science and Technology ResearchJournalOpen access

10.37933/nipes/7.4.2025.si309 Full text0 citations

Authors

6 authors across 4 institutions in 2 countries.

David A. OlasehindeFirst author
- Landmark University (NG)
as printed: David Ayodeji Olasehinde
Promise Johnson
- Landmark University (NG)
Esther Modupe Olasehinde
- University of Ilorin (NG)
Nehemiah Shola Ibitoye
Akinwale T. Ogunrinde
as printed: Akinwale Temitope Ogunrinde
Mathias Maduakolam AniobiSenior author
- Landmark University (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Knowledge Management and Technologylevel 3 · 0.22
COVID-19 impact on air qualitylevel 3 · 0.05
Oil, Gas, and Environmental Issueslevel 3 · 0.04

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2025 · NIPES Journal of Science and Technology Research · 0 citations
https://openalex.org/W7125599782

Advancement and Future Outlook of Artificial Intelligence in Assessment Of Climate Change Impact in Nigeria · Sankore