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.

Development of machine learning models for classification of tenders based on UNSPSC standard procurement taxonomy

2024International Journal of Procurement ManagementJournal

10.1504/ijpm.2024.137329 Full text3 citations

Authors

6 authors across 2 institutions in 2 countries.

Bello AbdullahiFirst author
Y. M. Ibrahim
- Ahmadu Bello University (NG)
as printed: Yahaya Makarfi Ibrahim
Ahmed Doko Ibrahim
- Ahmadu Bello University (NG)
Kabir Bala
- Ahmadu Bello University (NG)
Yusuf Ibrahim
- Ahmadu Bello University (NG)
Muhammad Aliyu YamusaSenior author
- Ahmadu Bello University (NG)

Fields

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

Economic and Technological Systems Analysislevel 3 · 0.87

Sources

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

openalexseen September 9, 2026
2024 · International Journal of Procurement Management · 3 citations
https://openalex.org/W4392749758

Development of machine learning models for classification of tenders based on UNSPSC standard procurement taxonomy · Sankore