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.

Machine Learning Model for Classifying Free Space Optics Channel Impairments

2022Publication

10.1109/ited56637.2022.10051228 Full text11 citations

Authors

7 authors.

Kareem Sunday BabatundeFirst author
- Landmark University (NG)
Frank A Ibikunle
- Landmark University (NG)
Frank A Ibikunle
- Landmark University (NG)
Micheal Olaolu Arowolo
- Landmark University (NG)
Ayodele John Alabi
- Landmark University (NG)
Enoch Adama Jiya
- Landmark University (NG)
Olulope Paul KehindeSenior author
- Landmark University (NG)

Fields

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

Optical Wireless Communication Technologieslevel 3 · 1.00
Optical Network Technologieslevel 3 · 1.00
Advanced Photonic Communication Systemslevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · 11 citations
https://openalex.org/W4323021687

Machine Learning Model for Classifying Free Space Optics Channel Impairments · Sankore