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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.

Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning

2022ISPRS International Journal of Geo-InformationJournalOpen access

10.3390/ijgi11080416 Full text5 citations

Authors

6 authors across 4 institutions in 2 countries.

Pranay PanjalaFirst author
Murali Krishna GummaCorresponding
Hakeem A. Ajeigbe
- Centre for Research and Information on Substance Abuse (NG)
- International Institute of Tropical Agriculture (NG)
as printed: Hakeem Ayinde Ajeigbe
Murtala Muhammad Badamasi
- Bayero University Kano (NG)
Kumara Charyulu Deevi
Ramadjita TaboSenior author
- Centre for Research and Information on Substance Abuse (NG)
- International Institute of Tropical Agriculture (NG)

Fields

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

Groundwater and Watershed Analysislevel 3 · 0.98
Flood Risk Assessment and Managementlevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2022 · ISPRS International Journal of Geo-Information · 5 citations
https://openalex.org/W4286587292

Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning · Sankore