Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms

2025Environmental Modelling & SoftwareJournal

10.1016/j.envsoft.2025.106548 Full text3 citations

Authors

6 authors across 5 institutions in 4 countries.

Dawei GuanFirst author
Zhanchen Li
Haoran Zheng
Jian-Hao Hong
Tiago Fazeres-Ferradosa
Richard AsumaduSenior author
- University of Cape Coast (GH)
- Ghana Education Service (GH)

Fields

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

Hydrology and Sediment Transport Processeslevel 3 · 1.00
Soil erosion and sediment transportlevel 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.

crossrefseen September 6, 2026
2025 · Environmental Modelling & Software · 3 citations
10.1016/j.envsoft.2025.106548
openalexseen September 5, 2026
2025 · Environmental Modelling & Software · 3 citations
https://openalex.org/W4410870986

Prediction of maximum scour depth downstream of bed sills using integrated machine learning algorithms · Sankore