Michael Opoku Agyeman

848 total citations
79 papers, 576 citations indexed

About

Michael Opoku Agyeman is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Michael Opoku Agyeman has authored 79 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Networks and Communications, 39 papers in Electrical and Electronic Engineering and 23 papers in Hardware and Architecture. Recurrent topics in Michael Opoku Agyeman's work include Interconnection Networks and Systems (39 papers), Parallel Computing and Optimization Techniques (18 papers) and Advanced Memory and Neural Computing (12 papers). Michael Opoku Agyeman is often cited by papers focused on Interconnection Networks and Systems (39 papers), Parallel Computing and Optimization Techniques (18 papers) and Advanced Memory and Neural Computing (12 papers). Michael Opoku Agyeman collaborates with scholars based in United Kingdom, Hong Kong and Iraq. Michael Opoku Agyeman's co-authors include Ali Ahmadinia, Quoc‐Tuan Vien, Terrence Mak, Alireza Shahrabi, Tuan Anh Le, Nader Bagherzadeh, Kin‐Fai Tong, Mu Mu, Andrew G. Dean and Alex Yakovlev and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Energies.

In The Last Decade

Michael Opoku Agyeman

75 papers receiving 551 citations

Peers

Michael Opoku Agyeman

CNC

EEE

Emre Özer United Kingdom

Thierry Gil France

Yu Ting Chen China

N. Sertac Artan United States

Sung Woo Chung South Korea

Kexin Yang China

Yasuhiko Nakashima Japan

Ahmad Patooghy Iran

Fei Xia United Kingdom

Saeed Safari Iran

Emre Özer United Kingdom

Michael Opoku Agyeman

355 ×1.2

CNC

552 ×2.1

EEE

394 ×3.0

73 ×1.4

167 ×3.2

Citations per year, relative to Michael Opoku Agyeman Michael Opoku Agyeman (= 1×) peers Emre Özer

Countries citing papers authored by Michael Opoku Agyeman

Since Specialization

Citations

This map shows the geographic impact of Michael Opoku Agyeman'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 Michael Opoku Agyeman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Opoku Agyeman more than expected).

Fields of papers citing papers by Michael Opoku Agyeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Opoku Agyeman. 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 Michael Opoku Agyeman. The network helps show where Michael Opoku Agyeman may publish in the future.

Co-authorship network of co-authors of Michael Opoku Agyeman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Opoku Agyeman. A scholar is included among the top collaborators of Michael Opoku Agyeman 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 Michael Opoku Agyeman. Michael Opoku Agyeman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Agyeman, Michael Opoku, et al.. (2024). Enhancing Map Matching Accuracy Using Backtracking Technique. International Journal of Applied Earth Observation and Geoinformation. 132. 103988–103988.

Agyeman, Michael Opoku, et al.. (2024). Survey on the Impact of AI, Robotics and 6G Networks on the Remote Surgery. 1–6.

Agyeman, Michael Opoku, et al.. (2023). Management and Evaluation of the Performance of end-to-end 5G Inter/Intra Slicing using Machine Learning in a Sustainable Environment. SHILAP Revista de lepidopterología. 19(1). 91–102. 2 indexed citations

Mu, Mu, et al.. (2023). A Novel Fuzzy Classifier Model for Cancer Classification Using Gene Expression Data. IEEE Access. 11. 115161–115178. 7 indexed citations

Agyeman, Michael Opoku, et al.. (2023). AMA: An Ageing Task Migration Aware for High-Performance Computing. Journal of Low Power Electronics and Applications. 13(2). 36–36. 1 indexed citations

Agyeman, Michael Opoku, et al.. (2022). Classification Techniques for Arrhythmia Patterns Using Convolutional Neural Networks and Internet of Things (IoT) Devices. IEEE Access. 10. 87387–87403. 11 indexed citations

Machado, Lee R., et al.. (2022). A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction. IEEE Access. 10. 27522–27534. 49 indexed citations

Zhang, Yinghui, et al.. (2022). Eye-Tracking Assistive Technologies for Individuals With Amyotrophic Lateral Sclerosis. IEEE Access. 10. 41952–41972. 26 indexed citations

Agyeman, Michael Opoku, et al.. (2021). A Survey of Mobility Management as a Service in Real-Time Inter/Intra Slice Control. IEEE Access. 9. 62533–62552. 11 indexed citations

10.

Vien, Quoc‐Tuan, Michael Opoku Agyeman, Mallik Tatipamula, & Huan X. Nguyen. (2021). On the Cooperative Relaying Strategies for Multi-Core Wireless Network-on-Chip. IEEE Access. 9. 9572–9583. 2 indexed citations

11.

Agyeman, Michael Opoku, et al.. (2020). Heuristic Optimization for Microload Shedding in Generation Constrained Power Systems. IEEE Access. 8. 13294–13304. 4 indexed citations

12.

Agyeman, Michael Opoku, et al.. (2019). An Overview of Cycle-Accurate, Event-Driven and Full Systems Simulators for Chip-Multiprocessors. International Journal of Computer Theory and Engineering. 11(6). 103–106. 1 indexed citations

13.

Agyeman, Michael Opoku, et al.. (2018). On wearable devices for motivating patients with upper limb disability via gaming and home rehabilitation. 155–162. 11 indexed citations

14.

Agyeman, Michael Opoku, et al.. (2018). A survey of power-aware Network-on-Chip design techniques. NECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton). 2 indexed citations

15.

Agyeman, Michael Opoku, et al.. (2018). An Overview of Prevention/Mitigation against Memory Corruption Attack. NECTAR - Northampton Electronic Collection of Thesis and Research (University of Northampton). 1–6. 3 indexed citations

16.

Vien, Quoc‐Tuan, Michael Opoku Agyeman, Tuan Anh Le, & Terrence Mak. (2017). On the Nanocommunications at THz Band in Graphene‐Enabled Wireless Network‐on‐Chip. Mathematical Problems in Engineering. 2017(1). 41 indexed citations

17.

Vien, Quoc‐Tuan, et al.. (2017). An energy-efficient NOMA for small cells in heterogeneous CRAN under QoS constraints. Middlesex University Research Repository (Middlesex University Of London). 1–6. 13 indexed citations

18.

Agyeman, Michael Opoku, et al.. (2017). A Study of Recent Contributions on Simulation Tools for Network-on-Chip(NoC). 4(3). 33–37. 3 indexed citations

19.

Agyeman, Michael Opoku, et al.. (2015). On the Design of Reliable Hybrid Wired-Wireless Network-on-Chip Architectures. Middlesex University Research Repository (Middlesex University Of London). 251–258. 6 indexed citations

20.

Agyeman, Michael Opoku. (2015). 3D Networks-on-Chip Architecture Optimization for Low Power Design. 3 indexed citations

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.

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