Mabrook Al‐Rakhami

3.5k total citations
75 papers, 2.2k citations indexed

About

Mabrook Al‐Rakhami is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Mabrook Al‐Rakhami has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Computer Networks and Communications and 19 papers in Information Systems. Recurrent topics in Mabrook Al‐Rakhami's work include IoT and Edge/Fog Computing (15 papers), Spam and Phishing Detection (10 papers) and COVID-19 diagnosis using AI (8 papers). Mabrook Al‐Rakhami is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Spam and Phishing Detection (10 papers) and COVID-19 diagnosis using AI (8 papers). Mabrook Al‐Rakhami collaborates with scholars based in Saudi Arabia, Pakistan and Yemen. Mabrook Al‐Rakhami's co-authors include Atif Alamri, Abdu Gumaei, Mohammad Mehedi Hassan, Muhammad Al‐Qurishi, Majed Al‐Mashari, Muhammad Zubair Asghar, Majed Alrubaian, Giancarlo Fortino, Ali Hassan Sodhro and Md. Milon Islam and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Mabrook Al‐Rakhami

73 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mabrook Al‐Rakhami Saudi Arabia 28 628 555 549 300 247 75 2.2k
Surbhi Bhatia Saudi Arabia 29 846 1.3× 529 1.0× 450 0.8× 225 0.8× 338 1.4× 192 2.7k
M. Irfan Uddin Pakistan 25 784 1.2× 397 0.7× 412 0.8× 148 0.5× 425 1.7× 130 2.2k
Saqib Hakak Canada 15 397 0.6× 462 0.8× 312 0.6× 296 1.0× 175 0.7× 21 1.4k
Rahul Katarya India 25 1.0k 1.6× 715 1.3× 335 0.6× 257 0.9× 372 1.5× 142 2.3k
Ajay Rana India 22 532 0.8× 639 1.2× 440 0.8× 88 0.3× 201 0.8× 236 1.8k
Jafar A. Alzubi Jordan 28 1.0k 1.6× 574 1.0× 874 1.6× 93 0.3× 413 1.7× 83 2.8k
Piyush Kumar Shukla India 30 842 1.3× 369 0.7× 587 1.1× 91 0.3× 515 2.1× 181 2.8k
Raheel Nawaz United Kingdom 29 1.1k 1.7× 453 0.8× 317 0.6× 180 0.6× 363 1.5× 161 2.9k
Roobaea Alroobaea Saudi Arabia 27 661 1.1× 508 0.9× 666 1.2× 66 0.2× 283 1.1× 194 2.3k
Shadi AlZu’bi Jordan 26 684 1.1× 578 1.0× 363 0.7× 72 0.2× 379 1.5× 103 1.9k

Countries citing papers authored by Mabrook Al‐Rakhami

Since Specialization
Citations

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

Fields of papers citing papers by Mabrook Al‐Rakhami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mabrook Al‐Rakhami. 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 Mabrook Al‐Rakhami. The network helps show where Mabrook Al‐Rakhami may publish in the future.

Co-authorship network of co-authors of Mabrook Al‐Rakhami

This figure shows the co-authorship network connecting the top 25 collaborators of Mabrook Al‐Rakhami. A scholar is included among the top collaborators of Mabrook Al‐Rakhami 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 Mabrook Al‐Rakhami. Mabrook Al‐Rakhami 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.
AlSalman, Hussain, Taha Alfakih, Mabrook Al‐Rakhami, Mohammad Mehedi Hassan, & Amerah Alabrah. (2024). A Genetic Algorithm-Based Optimized Transfer Learning Approach for Breast Cancer Diagnosis. Computer Modeling in Engineering & Sciences. 141(3). 2575–2608.
2.
Sethi, Monika, et al.. (2023). Secure Data Aggregation Based on End-to-End Homomorphic Encryption in IoT-Based Wireless Sensor Networks. Sensors. 23(13). 6181–6181. 9 indexed citations
3.
Zakariah, Mohammed, Salman A. AlQahtani, & Mabrook Al‐Rakhami. (2023). Machine Learning-Based Adaptive Synthetic Sampling Technique for Intrusion Detection. Applied Sciences. 13(11). 6504–6504. 21 indexed citations
4.
Asghar, Muhammad Zubair, Adidah Lajis, Muhammad Mansoor Alam, et al.. (2022). A Deep Neural Network Model for the Detection and Classification of Emotions from Textual Content. Complexity. 2022(1). 25 indexed citations
5.
Raju, S. M. Taslim Uddin, et al.. (2022). An Approach for Demand Forecasting in Steel Industries Using Ensemble Learning. Complexity. 2022(1). 36 indexed citations
6.
Al‐Rakhami, Mabrook, Abdu Gumaei, Mohammad Mehedi Hassan, et al.. (2021). FallDeF5: A Fall Detection Framework Using 5G-Based Deep Gated Recurrent Unit Networks. IEEE Access. 9. 94299–94308. 11 indexed citations
7.
Jan, Naeem, et al.. (2021). A New Approach to Fuzzy Differential Equations Using Weakly-Compatible Self-Mappings in Fuzzy Metric Spaces. Journal of Function Spaces. 2021. 1–13. 7 indexed citations
8.
Dargahi, Tooska, et al.. (2021). On the Security and Privacy Challenges of Virtual Assistants. Sensors. 21(7). 2312–2312. 60 indexed citations
9.
Ali, Abdelmgeid A., et al.. (2021). Applying Deep Learning Methods on Time‐Series Data for Forecasting COVID‐19 in Egypt, Kuwait, and Saudi Arabia. Complexity. 2021(1). 35 indexed citations
10.
Jan, Naeem, et al.. (2021). Some New Coupled Fixed-Point Findings Depending on Another Function in Fuzzy Cone Metric Spaces with Application. Mathematical Problems in Engineering. 2021. 1–21. 7 indexed citations
11.
Mehmood, Shahid, et al.. (2021). Rational Type Compatible Single-Valued Mappings via Unique Common Fixed Point Findings in Complex-Valued b-Metric Spaces with an Application. Journal of Function Spaces. 2021. 1–14. 3 indexed citations
12.
Rahman, Mohammad Marufur, et al.. (2021). Machine Learning Approaches for Tackling Novel Coronavirus (COVID-19) Pandemic. SN Computer Science. 2(5). 384–384. 45 indexed citations
13.
14.
Jan, Naeem, et al.. (2021). An Approach of Lebesgue Integral in Fuzzy Cone Metric Spaces via Unique Coupled Fixed Point Theorems. Journal of Function Spaces. 2021. 1–14. 3 indexed citations
15.
Jan, Naeem, et al.. (2021). Some Rational Coupled Fuzzy Cone Contraction Theorems in Fuzzy Cone Metric Spaces with an Application. Journal of Mathematics. 2021. 1–21.
16.
17.
Sodhro, Ali Hassan, et al.. (2021). A Novel Adaptive Battery-Aware Algorithm for Data Transmission in IoT-Based Healthcare Applications. Electronics. 10(4). 367–367. 53 indexed citations
18.
Alamri, Atif, Abdu Gumaei, Mabrook Al‐Rakhami, et al.. (2020). An Effective Bio-Signal-Based Driver Behavior Monitoring System Using a Generalized Deep Learning Approach. IEEE Access. 8. 135037–135049. 28 indexed citations
19.
Al‐Rakhami, Mabrook, Abdu Gumaei, Ahmed Alsanad, Atif Alamri, & Mohammad Mehedi Hassan. (2019). An Ensemble Learning Approach for Accurate Energy Load Prediction in Residential Buildings. IEEE Access. 7. 48328–48338. 78 indexed citations
20.
Al‐Qurishi, Muhammad, et al.. (2015). Online Social Network Management Systems: State of The Art. Procedia Computer Science. 73. 474–481. 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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