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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.

Topology-Aware Learning for Routing In Satellite–Terrestrial Integrated Networks: A Review of Graph Neural Network and Reinforcement Learning Approaches

2026International Journal of Research and Innovation in Applied ScienceJournalOpen access

10.51584/ijrias.2026.11060214 Full text0 citations

Authors

4 authors.

Eyeneka J. NtuenFirst author
- University of Uyo (NG)
Akaninyene B. Obot
- University of Uyo (NG)
Kufre M. Udofia Kufre M. Udofia
- University of Uyo (NG)
as printed: Kufre M. Udofia
Unwana I. IbangaSenior author
- University of Uyo (NG)

Fields

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

Satellite Communication Systemslevel 3 · 0.95
Advanced Wireless Communication Technologieslevel 3 · 0.01
Opportunistic and Delay-Tolerant Networkslevel 3 · 0.01

Sources

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

openalexseen September 9, 2026
2026 · International Journal of Research and Innovation in Applied Science · 0 citations
https://openalex.org/W7168259203

Topology-Aware Learning for Routing In Satellite–Terrestrial Integrated Networks: A Review of Graph Neural Network and Reinforcement Learning Approaches · Sankore