Mohammed Elmusrati

2.9k total citations · 2 hit papers
121 papers, 1.9k citations indexed

About

Mohammed Elmusrati is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Mohammed Elmusrati has authored 121 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Electrical and Electronic Engineering, 49 papers in Computer Networks and Communications and 22 papers in Control and Systems Engineering. Recurrent topics in Mohammed Elmusrati's work include Wireless Communication Networks Research (24 papers), Smart Grid Security and Resilience (18 papers) and Indoor and Outdoor Localization Technologies (15 papers). Mohammed Elmusrati is often cited by papers focused on Wireless Communication Networks Research (24 papers), Smart Grid Security and Resilience (18 papers) and Indoor and Outdoor Localization Technologies (15 papers). Mohammed Elmusrati collaborates with scholars based in Finland, Libya and Sweden. Mohammed Elmusrati's co-authors include Rasheed Omobolaji Alabi, Antti Mäkitie, Alhadi Almangush, Reino Virrankoski, Ilmo Leivo, Petri Välisuo, Heidi Kuusniemi, H.N. Koivo, Naser Tarhuni and Mahmoud Elsanhoury and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Applied Energy.

In The Last Decade

Mohammed Elmusrati

108 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities

2022 133 citations Fabricio S. Prol, Rubén Morales Ferré et al. IEEE Access profile →
Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP

2023 83 citations Rasheed Omobolaji Alabi, Mohammed Elmusrati et al. Scientific Reports profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mohammed Elmusrati Finland	23	678	483	449	330	260	121	1.9k
Houjin Chen China	25	485 0.7×	671 1.4×	116 0.3×	664 2.0×	219 0.8×	172	2.2k
Adi Alhudhaif Saudi Arabia	27	222 0.3×	630 1.3×	143 0.3×	242 0.7×	49 0.2×	106	2.0k
Tao Wan China	27	187 0.3×	719 1.5×	446 1.0×	367 1.1×	167 0.6×	154	2.6k
Elena Casiraghi Italy	19	97 0.1×	377 0.8×	169 0.4×	330 1.0×	23 0.1×	73	2.0k
Sameem Abdul Kareem Malaysia	23	130 0.2×	614 1.3×	71 0.2×	266 0.8×	15 0.1×	104	1.7k
Zlatan Car Croatia	18	135 0.2×	234 0.5×	45 0.1×	180 0.5×	74 0.3×	100	1.1k
Hazrat Ali Pakistan	19	190 0.3×	519 1.1×	145 0.3×	332 1.0×	46 0.2×	119	1.5k
Zafer Cömert Türkiye	31	103 0.2×	1.5k 3.2×	115 0.3×	1.4k 4.2×	17 0.1×	78	3.5k
Ye Zhang China	21	103 0.2×	164 0.3×	33 0.1×	188 0.6×	160 0.6×	104	1.4k
Abdullah-Al Nahid Bangladesh	23	492 0.7×	973 2.0×	242 0.5×	667 2.0×	55 0.2×	85	2.2k

Countries citing papers authored by Mohammed Elmusrati

Since Specialization

Citations

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

Fields of papers citing papers by Mohammed Elmusrati

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Elmusrati. 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 Mohammed Elmusrati. The network helps show where Mohammed Elmusrati may publish in the future.

Co-authorship network of co-authors of Mohammed Elmusrati

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alabi, Rasheed Omobolaji, Orlando Guntinas‐Lichius, Mohammed Elmusrati, et al.. (2025). Machine learning for survival outcome in head and neck squamous cell carcinoma: a multicenter validation study. Scientific Reports. 16(1). 254–254.

Alabi, Rasheed Omobolaji, Antti Mäkitie, Mohammed Elmusrati, et al.. (2025). Machine learning explainability for survival outcome in head and neck squamous cell carcinoma. International Journal of Medical Informatics. 199. 105873–105873. 2 indexed citations

Välisuo, Petri, et al.. (2025). Reinforcement learning for data center energy efficiency optimization: A systematic literature review and research roadmap. Applied Energy. 389. 125734–125734. 3 indexed citations

Elmusrati, Mohammed, et al.. (2024). Cyber-physical attack and the future energy systems: A review. Energy Reports. 12. 2914–2932. 22 indexed citations

Alola, Andrew Adewale, et al.. (2024). Deep learning-based evaluation of photovoltaic power generation. Energy Reports. 12. 2077–2085. 2 indexed citations

Elsanhoury, Mahmoud, Janne Koljonen, Mohammed Elmusrati, & Heidi Kuusniemi. (2024). A Novel Beam-Based Positioning Paradigm Via Opportunistic Signal of Future Massive MIMO LEO Satellite Constellations. 1–5. 1 indexed citations

Koljonen, Janne, Mahmoud Elsanhoury, Mohammed Elmusrati, & Seppo Niemi. (2024). Advancing Sustainable Maritime with AI/ML Enhanced Hardware-in-the-Loop Testing. 1–6.

Alabi, Rasheed Omobolaji, Alhadi Almangush, Mohammed Elmusrati, Ilmo Leivo, & Antti Mäkitie. (2024). Interpretable machine learning model for prediction of overall survival in laryngeal cancer. Acta Oto-Laryngologica. 145(3). 256–262. 1 indexed citations

Alabi, Rasheed Omobolaji, Mohammed Elmusrati, Ilmo Leivo, Alhadi Almangush, & Antti Mäkitie. (2024). Collaborative machine learning-guided overall survival prediction of oral squamous cell carcinoma. Acta Oto-Laryngologica. 146(2). 133–140. 3 indexed citations

10.

Kauhaniemi, Kimmo, et al.. (2023). Design and implementation of a wireless CAN module for marine engines using ZigBee protocol. IET Communications. 17(13). 1541–1552. 4 indexed citations

11.

Shafie‐khah, Miadreza, et al.. (2023). Risk Accessment of Machine Learning Algorithms on Manipulated Dataset in Power Systems. 13. 1–5. 1 indexed citations

12.

Elsanhoury, Mahmoud, et al.. (2023). Emerging Wireless Technologies for Reliable Indoor Navigation in Industrial Environments. Proceedings of the Satellite Division's International Technical Meeting (Online). 1706–1714. 1 indexed citations

13.

Prol, Fabricio S., Rubén Morales Ferré, Petri Välisuo, et al.. (2022). Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities. IEEE Access. 10. 83971–84002. 133 indexed citations breakdown →

14.

Elmusrati, Mohammed, et al.. (2022). Proposed algorithm for smart grid DDoS detection based on deep learning. Neural Networks. 159. 175–184. 62 indexed citations

15.

Morabito, Roberto, et al.. (2021). Regression Training using Model Parallelism in a Distributed Cloud. Osuva (University of Vaasa). 1 indexed citations

16.

Alabi, Rasheed Omobolaji, Ibrahim O. Bello, Omar Youssef, et al.. (2021). Utilizing Deep Machine Learning for Prognostication of Oral Squamous Cell Carcinoma—A Systematic Review. SHILAP Revista de lepidopterología. 2. 686863–686863. 26 indexed citations

17.

Alabi, Rasheed Omobolaji, Mohammed Elmusrati, Íris Sawazaki‐Calone, et al.. (2019). Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 475(4). 489–497. 79 indexed citations

18.

Alabi, Rasheed Omobolaji, Mohammed Elmusrati, Íris Sawazaki‐Calone, et al.. (2019). Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. International Journal of Medical Informatics. 136. 104068–104068. 105 indexed citations

19.

Younis, Abdelhamid, et al.. (2017). Spatial Modulation and Spatial Multiplexing Capacity Analysis over 3D mmWave Communications. European Wireless Conference. 1–6. 3 indexed citations

20.

Duan, Ruifeng, et al.. (2013). Dual Analysis of the Capacity of Spectrum Sharing Cognitive Radio with MRC under Nakagami-m Fading. 2013. 1–8. 2 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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