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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.

How Machine Learning is Impacting Energy Production from Biomass: A Systematic Review and Multiple Case Study

2024Journal

10.1109/seb4sdg60871.2024.10630120 Full text6 citations

Authors

4 authors across 3 institutions in 3 countries.

Peter OnuFirst author
- University of South Africa (ZA)
E.S.A. Ajisegiri
- Landmark University (NG)
as printed: Emmanuel Ajisegiri
Peter Pelumi Ikubanni
- Landmark University (NG)
as printed: Peter Ikubanni
Charles MbohwaSenior author
- University of South Africa (ZA)

Fields

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

Energy Efficiency and Managementlevel 3 · 0.18
Forest Biomass Utilization and Managementlevel 3 · 0.18
Environmental Impact and Sustainabilitylevel 3 · 0.17

Sources

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

openalexseen September 9, 2026
2024 · 6 citations
https://openalex.org/W4401607989

How Machine Learning is Impacting Energy Production from Biomass: A Systematic Review and Multiple Case Study · Sankore