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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.

Application of machine learning models for rainfall prediction and estimation of rain-induced attenuation for satellite communication in a tropical region

2025Journal of Atmospheric and Solar-Terrestrial PhysicsJournal

10.1016/j.jastp.2025.106443 Full text5 citations

Authors

6 authors across 5 institutions in 1 country.

M.A. SodunkeFirst authorCorresponding
- Moshood Abiola Polytechnic (NG)
Joseph Sunday Ojo
- University of Lagos (NG)
as printed: J.S. Ojo
Yusuf Babatunde Lawal
- Obong University (NG)
as printed: Y.B. Lawal
O.L Ojo
- University of Lagos (NG)
as printed: O.L. Ojo
G.A. Owolabi
- Lagos State Health Service Commission (NG)
A.I. OlatejuSenior author
- McPherson University (NG)

Fields

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

Precipitation Measurement and Analysislevel 3 · 1.00
Radio Wave Propagation Studieslevel 3 · 1.00
Soil Moisture and Remote Sensinglevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2025 · Journal of Atmospheric and Solar-Terrestrial Physics · 5 citations
https://openalex.org/W4406560535

Application of machine learning models for rainfall prediction and estimation of rain-induced attenuation for satellite communication in a tropical region · Sankore