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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.

Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria

2023Land Degradation and DevelopmentJournalOpen access

10.1002/ldr.4655 Full text21 citations

Authors

9 authors across 7 institutions in 5 countries.

Safwan MohammedFirst authorCorresponding
Ali Jouhra
Glory Enaruvbe
- Obafemi Awolowo University (NG)
- African Regional Institute for Geospatial Information Science and Technology (NG)
as printed: Glory O. Enaruvbe
Bashar Bashir
Mona Barakat
Firas Alsilibe
Luc Cimusa Kulimushi
- Université Catholique de Bukavu (CD)
Abdullah Alsalman
Szilárd SzabóSenior author

Fields

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

Soil erosion and sediment transportlevel 3 · 1.00
Hydrology and Sediment Transport Processeslevel 3 · 1.00
Irrigation Practices and Water Managementlevel 3 · 0.99

Sources

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

openalexseen September 24, 2026
2023 · Land Degradation and Development · 21 citations
https://openalex.org/W4321212697

Performance evaluation of machine learning algorithms to assess soil erosion in Mediterranean farmland: A case‐study in Syria · Sankore