Griffith Selorm Klogo
Kwame Nkrumah University of Science and Technology
- Lecturer/Dr, Kwame Nkrumah University of Science and Technology, since 2016per ORCID
Publishing since 2013, latest 2026
Lecturer, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana. Research Interests in Smart Metering, Metering Infrastructure, Cyber Physical Systems and IoTs. Teaching and mentoring the next generation of African Innovators. Passion for Tech-Agriculture. Applying technology to develop agriculture to attain the sustainable development goal of ZERO HUNGER. From ORCID
- Computer Networks and Communications
- Artificial Intelligence
- Electrical and Electronic Engineering
- Information Systems
- Signal Processing
- Control and Systems Engineering
In their own words
- Research Interests in Smart Metering
- Metering Infrastructure
- Cyber Physical Systems and IoTs
- klogo
- Publications
- 352013–2026
- Citations
- 579to those papers
- h-index
- 11i10-index 12
- Field-weighted impact
- 3.151.00 is the world average
- World top 10%
- 28%9 of 32 scored papers
- Open access
- 78%25 of the 32 whose access is recorded
5 other works — preprints, datasets and the like — are listed but not counted.
Google Scholar shows 562 citations, h-index 13 and i10-index 14 (540 citations and h-index 12 since 2021), as of October 10, 2026. It also counts theses, books and web pages, so it runs higher.
By year
Papers, and the citations to them
Publications, left axisCitations to that year’s papers, right axis2026 still in progress
Positions
- Lecturer/Dr, Computer EngineeringKwame Nkrumah University of Science and Technologysince 2016
Education
- Lecturer/Dr, Computer EngineeringKwame Nkrumah University of Science and Technologysince 2016
On their papers
Every institution they have given on a paper.
Publications
35 in all
- Federated Learning Framework for Efficient and Secure Anomaly Detection in Industrial Control Systems
2026Journal of Computer Networks and CommunicationsJournalOpen access0 citations10.1155/jcnc/7289868
- Transfer learning framework for rural electrification: A GRU-based approach with custom loss for demand prediction
2026Results in Engineering