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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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Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis

2022Future InternetJournalOpen access

10.3390/fi14090259 Full text91 citations

Authors

4 authors across 3 institutions in 3 countries.

Stephen AfrifaFirst authorCorresponding
- University of Energy and Natural Resources (GH)
Tao Zhang
Peter Appiahene
- University of Energy and Natural Resources (GH)
Vijayakumar VaradarajanSenior author

Fields

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

Hydrological Forecasting Using AIlevel 3 · 1.00
Flood Risk Assessment and Managementlevel 3 · 1.00
Hydrology and Watershed Management Studieslevel 3 · 0.99

Sources

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

openalexseen September 5, 2026
2022 · Future Internet · 91 citations
https://openalex.org/W4293776491

Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis · Sankore