Mohammed Farsi

554 total citations
16 papers, 356 citations indexed

About

Mohammed Farsi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mohammed Farsi has authored 16 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Information Systems. Recurrent topics in Mohammed Farsi's work include Anomaly Detection Techniques and Applications (3 papers), AI in cancer detection (2 papers) and Mobile Ad Hoc Networks (2 papers). Mohammed Farsi is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), AI in cancer detection (2 papers) and Mobile Ad Hoc Networks (2 papers). Mohammed Farsi collaborates with scholars based in Saudi Arabia, Egypt and Malaysia. Mohammed Farsi's co-authors include Mahmoud Badawy, Mostafa A. Elhosseini, Hesham Ali, Yousry AbdulAzeem, Osama A. Ghoneim, B. R. Manjunatha, El‐Sayed Atlam, Ibrahim Gad, Hossam Magdy Balaha and Fatma M. Talaat and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and Biomedical Signal Processing and Control.

In The Last Decade

Mohammed Farsi

16 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohammed Farsi Saudi Arabia 8 187 153 59 35 28 16 356
Tulsi Pawan Fowdur Mauritius 10 132 0.7× 140 0.9× 52 0.9× 42 1.2× 38 1.4× 71 293
Sania Bhatti Pakistan 9 142 0.8× 103 0.7× 117 2.0× 66 1.9× 33 1.2× 52 388
Vishal Krishna Singh India 11 138 0.7× 76 0.5× 78 1.3× 31 0.9× 25 0.9× 50 340
Fayez Alfayez Saudi Arabia 9 235 1.3× 137 0.9× 74 1.3× 40 1.1× 109 3.9× 19 415
S. Dhanasekaran India 11 145 0.8× 137 0.9× 75 1.3× 34 1.0× 34 1.2× 33 356
Yufeng Fan China 5 407 2.2× 343 2.2× 48 0.8× 30 0.9× 26 0.9× 11 572
Abhimanyu Gosain United States 10 285 1.5× 213 1.4× 21 0.4× 51 1.5× 19 0.7× 15 453
Tauqeer Ahmed China 13 93 0.5× 115 0.8× 62 1.1× 33 0.9× 36 1.3× 22 337
Xiaoguang Niu China 13 146 0.8× 178 1.2× 143 2.4× 37 1.1× 40 1.4× 44 483
Wei‐Tsong Lee Taiwan 12 299 1.6× 186 1.2× 46 0.8× 43 1.2× 87 3.1× 67 427

Countries citing papers authored by Mohammed Farsi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Farsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Farsi

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

All Works

16 of 16 papers shown
1.
Anbar, Mohammed, et al.. (2025). BoT-EnsIDS: Approach for detecting IoT Botnet attacks leveraging bio-inspired based ensemble feature selection and hybrid deep learning model. Alexandria Engineering Journal. 129. 744–767. 1 indexed citations
2.
ZainEldin, Hanaa, et al.. (2025). Bridging research gaps in breast cancer detection: An ensemble approach informed by bibliometric analysis. Biomedical Signal Processing and Control. 109. 108041–108041. 1 indexed citations
3.
4.
Talaat, Fatma M., Mohammed Farsi, Mahmoud Badawy, & Mostafa A. Elhosseini. (2024). SightAid: empowering the visually impaired in the Kingdom of Saudi Arabia (KSA) with deep learning-based intelligent wearable vision system. Neural Computing and Applications. 36(19). 11075–11095. 7 indexed citations
5.
Elmezain, Mahmoud, et al.. (2024). Analyzing Crowd Behavior in Highly Dense Crowd Videos Using 3D ConvNet and Multi-SVM. Electronics. 13(24). 4925–4925. 1 indexed citations
6.
Talaat, Fatma M., et al.. (2023). A Mathematical Model for Customer Segmentation Leveraging Deep Learning, Explainable AI, and RFM Analysis in Targeted Marketing. Mathematics. 11(18). 3930–3930. 16 indexed citations
7.
Farsi, Mohammed, et al.. (2023). Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach. Mathematics. 11(19). 4055–4055. 21 indexed citations
8.
Farsi, Mohammed. (2021). Filter-Based Feature Selection and Machine-Learning Classification of Cancer Data. Intelligent Automation & Soft Computing. 28(1). 83–92. 2 indexed citations
9.
Farsi, Mohammed, et al.. (2021). Modeling the COVID-19 Pandemic Dynamics in Egypt and Saudi Arabia. Mathematics. 9(8). 827–827. 6 indexed citations
10.
Farsi, Mohammed. (2020). Application of ensemble RNN deep neural network to the fall detection through IoT environment. Alexandria Engineering Journal. 60(1). 199–211. 40 indexed citations
11.
Farsi, Mohammed, et al.. (2020). Parallel genetic algorithms for optimizing the SARIMA model for better forecasting of the NCDC weather data. Alexandria Engineering Journal. 60(1). 1299–1316. 53 indexed citations
12.
Farsi, Mohammed, et al.. (2019). QoS-Aware Framework for Performance Enhancement of SOA in Enterprise IT Environments. IEEE Access. 7. 107699–107715. 4 indexed citations
13.
Farsi, Mohammed, et al.. (2019). A Congestion-Aware Clustering and Routing (CCR) Protocol for Mitigating Congestion in WSN. IEEE Access. 7. 105402–105419. 32 indexed citations
14.
Farsi, Mohammed, et al.. (2019). Deployment Techniques in Wireless Sensor Networks, Coverage and Connectivity: A Survey. IEEE Access. 7. 28940–28954. 160 indexed citations
15.
Farsi, Mohammed, et al.. (2015). The effects of teaching primary school children the Islamic prayer in a virtual environment. 765–769. 4 indexed citations
16.
Farsi, Mohammed, et al.. (2012). Cloud computing and data security threats taxonomy: A review. Journal of Intelligent & Fuzzy Systems. 38(3). 2517–2527. 7 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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