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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.

Multi-Model Analysis of Climatic Impacts on Urban Infrastructure Using Machine Learning and Statistical Methods

2025International journal of research and scientific innovationJournalOpen access

10.51244/ijrsi.2025.12120022 Full text0 citations

Authors

4 authors across 4 institutions in 1 country.

Animasahun Tobi SeunFirst author
- Federal Polytechnic Ede (NG)
- Federal Polytechnic Ayede (NG)
Ali Abdallah Kolawole
- Kwara State University (NG)
Lawal Abdulwasiu
- Kwara State University (NG)
David Olawale MakindeSenior author
- Ahmadu Bello University (NG)

Fields

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

Flood Risk Assessment and Managementlevel 3 · 0.50
Hydrological Forecasting Using AIlevel 3 · 0.04
Climate Change and Sustainable Developmentlevel 3 · 0.03

Sources

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

openalexseen September 9, 2026
2025 · International journal of research and scientific innovation · 0 citations
https://openalex.org/W7117960036

Multi-Model Analysis of Climatic Impacts on Urban Infrastructure Using Machine Learning and Statistical Methods · Sankore