Michael S. Mollel

557 total citations
23 papers, 356 citations indexed

About

Michael S. Mollel is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Media Technology. According to data from OpenAlex, Michael S. Mollel has authored 23 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 7 papers in Computer Networks and Communications and 6 papers in Media Technology. Recurrent topics in Michael S. Mollel's work include Advanced MIMO Systems Optimization (15 papers), Millimeter-Wave Propagation and Modeling (10 papers) and Telecommunications and Broadcasting Technologies (6 papers). Michael S. Mollel is often cited by papers focused on Advanced MIMO Systems Optimization (15 papers), Millimeter-Wave Propagation and Modeling (10 papers) and Telecommunications and Broadcasting Technologies (6 papers). Michael S. Mollel collaborates with scholars based in United Kingdom, Tanzania and Türkiye. Michael S. Mollel's co-authors include Michael Kisangiri, Muhammad Ali Imran, Qammer H. Abbasi, Metin Öztürk, Shubi Kaijage, Attai Ibrahim Abubakar, Sajjad Hussain, Lei Zhang, Shuja Ansari and Cihat Öztürk and has published in prestigious journals such as IEEE Access, IEEE Transactions on Vehicular Technology and IEEE Internet of Things Journal.

In The Last Decade

Michael S. Mollel

21 papers receiving 347 citations

Peers

Michael S. Mollel
Ghaith Hattab United States
Osamu Takyu Japan
Sunshin An South Korea
Olof Liberg Sweden
Nour Kouzayha Saudi Arabia
Mikko Säily Finland
Fei Du China
Víctor Monzón Baeza Spain
Ghaith Hattab United States
Michael S. Mollel
Citations per year, relative to Michael S. Mollel Michael S. Mollel (= 1×) peers Ghaith Hattab

Countries citing papers authored by Michael S. Mollel

Since Specialization
Citations

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

Fields of papers citing papers by Michael S. Mollel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Mollel

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

All Works

20 of 20 papers shown
1.
Ge, Yao, et al.. (2025). RFSensingGPT: A Multi-Modal RAG-Enhanced Framework for Integrated Sensing and Communications Intelligence in 6G Networks. IEEE Transactions on Cognitive Communications and Networking. 12. 298–311. 1 indexed citations
2.
Abubakar, Attai Ibrahim, Michael S. Mollel, Metin Öztürk, & Naeem Ramzan. (2025). A Secured Energy Saving With Federated Assisted Modified Actor-Critic Framework for 6G Networks. IEEE Transactions on Vehicular Technology. 74(6). 9671–9688.
3.
Abubakar, Attai Ibrahim, Metin Öztürk, Cihat Öztürk, et al.. (2023). A Survey on Energy Optimization Techniques in UAV-Based Cellular Networks: From Conventional to Machine Learning Approaches. Drones. 7(3). 214–214. 45 indexed citations
4.
Abubakar, Attai Ibrahim, Michael S. Mollel, Oluwakayode Onireti, et al.. (2023). Coverage and throughput analysis of an energy efficient UAV base station positioning scheme. Computer Networks. 232. 109854–109854. 10 indexed citations
5.
Mollel, Michael S., et al.. (2023). Analysis of Electromagnetic Field Radiation From Synchronisation Signal Block (SSB) in 5G Systems. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 185–189.
6.
Mollel, Michael S., et al.. (2023). Toward a Sustainable Internet of Underwater Things Based on AUVs, SWIPT, and Reinforcement Learning. IEEE Internet of Things Journal. 11(5). 7640–7651. 13 indexed citations
7.
Kaur, Jaspreet, et al.. (2023). AI-enabled CSI fingerprinting for indoor localisation towards context-aware networking in 6G. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 5 indexed citations
8.
Klaine, Paulo Valente, Rao Naveed Bin Rais, Michael S. Mollel, et al.. (2023). Context-aware handover skipping for train passengers in next generation wireless networks. Journal of Communications and Networks. 25(3). 285–298. 1 indexed citations
9.
Abubakar, Attai Ibrahim, Cihat Öztürk, Metin Öztürk, et al.. (2022). Revenue Maximization Through Cell Switching and Spectrum Leasing in 5G HetNets. IEEE Access. 10. 48301–48317. 2 indexed citations
10.
Mollel, Michael S., Shubi Kaijage, & Michael Kisangiri. (2021). Deep Reinforcement Learning based Handover Management for Millimeter Wave Communication. International Journal of Advanced Computer Science and Applications. 12(2). 17 indexed citations
11.
Mollel, Michael S., Metin Öztürk, Shuja Ansari, et al.. (2021). DEKCS: A Dynamic Clustering Protocol to Prolong Underwater Sensor Networks. IEEE Sensors Journal. 21(7). 9457–9464. 73 indexed citations
12.
Mollel, Michael S., Attai Ibrahim Abubakar, Metin Öztürk, et al.. (2021). A Survey of Machine Learning Applications to Handover Management in 5G and Beyond. IEEE Access. 9. 45770–45802. 70 indexed citations
13.
Mollel, Michael S., et al.. (2020). Energy Optimisation through Path Selection for Underwater Wireless Sensor Networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–4. 3 indexed citations
14.
Mollel, Michael S., Shubi Kaijage, Michael Kisangiri, Muhammad Ali Imran, & Qammer H. Abbasi. (2020). Multi-User Position Based on Trajectories-Aware Handover Strategy for Base Station Selection with Multi-Agent Learning. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 135. 1–6. 5 indexed citations
15.
Mollel, Michael S., Attai Ibrahim Abubakar, Metin Öztürk, et al.. (2020). Intelligent handover decision scheme using double deep reinforcement learning. Physical Communication. 42. 101133–101133. 35 indexed citations
16.
Mollel, Michael S., Metin Öztürk, Michael Kisangiri, et al.. (2019). Handover Management in Dense Networks with Coverage Prediction from Sparse Networks. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–6. 6 indexed citations
17.
Mollel, Michael S., Metin Öztürk, Yao Sun, et al.. (2019). Coverage Analysis for Indoor-Outdoor Coexistence for Millimetre-Wave Communication. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–4. 6 indexed citations
18.
Mollel, Michael S. & Michael Kisangiri. (2014). Comparison of Empirical Propagation Path Loss Models for Mobile Communication. Journals & Books Hosting (International Knowledge Sharing Platform). 5(9). 1–10. 36 indexed citations
19.
Mollel, Michael S. & Michael Kisangiri. (2014). Optimization of Hata Model based on Measurements Data using Least Square Method: A Case Study in Dar-es-Salaam Tanzania. International Journal of Computer Applications. 102(4). 35–39. 3 indexed citations
20.
Mollel, Michael S. & Michael Kisangiri. (2014). An overview of various propagation model for mobile communication. 2. 148–153. 11 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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