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.

Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost

2024Journal of Computing Theories and ApplicationsJournalOpen access

10.62411/jcta.10562 Full text23 citations

Authors

12 authors across 6 institutions in 3 countries.

Rita Erhovwo AkoFirst author
- Federal University of Petroleum Resource Effurun (NG)
Fidelis Obukohwo Aghware
- University of Delta Agbor (NG)
Margareth Dumebi Okpor
as printed: Margaret Dumebi Okpor
Maureen Ifeanyi Akazue
- Delta State University (NG)
Rume Elizabeth Yoro
- Dennis Osadebay University (NG)
Arnold Adimabua Ojugo
- Federal University of Petroleum Resource Effurun (NG)
De Rosal Ignatius Moses Setiadi
Chris Chukwufunaya Odiakaose

Fields

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

Customer churn and segmentationlevel 3 · 1.00
Impact of AI and Big Data on Business and Societylevel 3 · 0.92

Sources

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

openalexseen September 9, 2026
2024 · Journal of Computing Theories and Applications · 23 citations
https://openalex.org/W4400091168

Dennis Osadebay University (NG)

Reuben Akporube Abere

Federal University of Petroleum Resource Effurun (NG)

Frances Uche Emordi

Dennis Osadebay University (NG)

Victor Ochuko Geteloma

Federal University of Petroleum Resource Effurun (NG)

Patrick Ogholoruwami EjehSenior author

Dennis Osadebay University (NG)

as printed: Patrick Ogholuwarami Ejeh

Effects of Data Resampling on Predicting Customer Churn via a Comparative Tree-based Random Forest and XGBoost · Sankore