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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.

Impact of data partitioning in groundwater level prediction using artificial neural network for multiple wells

2022International Journal of River Basin ManagementJournal

10.1080/15715124.2022.2079653 Full text30 citations

Authors

5 authors across 2 institutions in 2 countries.

Jamel SeiduFirst authorCorresponding
- University of Mines and Technology (GH)
Anthony Ewusi
- University of Mines and Technology (GH)
Jerry Samuel Yaw Kuma
- University of Mines and Technology (GH)
Yao Yevenyo Ziggah
- University of Mines and Technology (GH)
Hans-Jurgen VoigtSenior author

Fields

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

Hydrological Forecasting Using AIlevel 3 · 0.99
Groundwater flow and contamination studieslevel 3 · 0.99
Neural Networks and Applicationslevel 3 · 0.98

Sources

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

openalexseen September 5, 2026
2022 · International Journal of River Basin Management · 30 citations
https://openalex.org/W4281260991

Impact of data partitioning in groundwater level prediction using artificial neural network for multiple wells · Sankore