Emmanuel Oyekanlu
- Computer Networks and Communications top 10%
- Industrial and Manufacturing Engineering top 5%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Co-authors
- Anthony Ng’omaA.C. SmithMason NgMatthew L. RamseyWeimin LiuJia UddinWlodek KuleszaMd. Didarul Islam
- Topics
- Power Line Communications and Noise (5 papers)IoT and Edge/Fog Computing (5 papers)IoT Networks and Protocols (2 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- IEEE AccessInternational Journal of Intelligent Systems and ApplicationsJournal of Energy - Energija
- Partner nations
- United StatesSwedenMalaysia
In The Last Decade
Emmanuel Oyekanlu
16 papers receiving 264 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 99
- Industrial and Manufacturing Engineering 96
- Electrical and Electronic Engineering 72
- Computer Vision and Pattern Recognition 64
- Control and Systems Engineering 41
Countries citing papers authored by Emmanuel Oyekanlu
This map shows the geographic impact of Emmanuel Oyekanlu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emmanuel Oyekanlu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel Oyekanlu more than expected).
Fields of papers citing papers by Emmanuel Oyekanlu
This network shows the impact of papers produced by Emmanuel Oyekanlu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emmanuel Oyekanlu. The network helps show where Emmanuel Oyekanlu may publish in the future.
Co-authorship network of co-authors of Emmanuel Oyekanlu
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel Oyekanlu. A scholar is included among the top collaborators of Emmanuel Oyekanlu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emmanuel Oyekanlu. Emmanuel Oyekanlu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 162 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 6 | |
| 12 | 21 | |
| 13 | 31 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | Impact of Packet Losses on the Quality of Video Streaming | 6 |
About Emmanuel Oyekanlu
Emmanuel Oyekanlu is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 276 indexed citations. Recurring topics across this work include Power Line Communications and Noise (5 papers), IoT and Edge/Fog Computing (5 papers) and IoT Networks and Protocols (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (96 citations), Computer Networks and Communications (99 citations) and Computer Vision and Pattern Recognition (64 citations). Emmanuel Oyekanlu has collaborated with scholars based in United States, Sweden and Malaysia. Frequent co-authors include Anthony Ng’oma, A.C. Smith, Mason Ng, Matthew L. Ramsey, Weimin Liu, Jia Uddin, Wlodek Kulesza and Md. Didarul Islam. Their work appears in journals such as IEEE Access, International Journal of Intelligent Systems and Applications and Journal of Energy - Energija.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.