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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.

Explainable Morphometric Machine Learning for Species Delimitation in Senna (Fabaceae): A Methodological Review and Illustrative Framework

2026Journal of Scientific Research and ReportsJournalOpen access

10.9734/jsrr/2026/v32i94468 Full text0 citations

Authors

4 authors.

Chisom Finian IrokaFirst author
- Nnamdi Azikiwe University (NG)
Chinedu Mbonu
- Nnamdi Azikiwe University (NG)
as printed: Chinedu Emmanuel Mbonu
Nwakuche Adaugo Ozioma
- Nnamdi Azikiwe University (NG)
Onyili Adachukwu ConsolataSenior author
- Nnamdi Azikiwe University (NG)

Fields

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

Morphological variations and asymmetrylevel 3 · 0.32
Genomics and Phylogenetic Studieslevel 3 · 0.12
Species Distribution and Climate Changelevel 3 · 0.11

Sources

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

openalexseen September 9, 2026
2026 · Journal of Scientific Research and Reports · 0 citations
https://openalex.org/W7204623048

Explainable Morphometric Machine Learning for Species Delimitation in Senna (Fabaceae): A Methodological Review and Illustrative Framework · Sankore