Mohammed Mujib Alshahrani

577 total citations
24 papers, 356 citations indexed

About

Mohammed Mujib Alshahrani is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Mohammed Mujib Alshahrani has authored 24 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Networks and Communications, 13 papers in Artificial Intelligence and 12 papers in Information Systems. Recurrent topics in Mohammed Mujib Alshahrani's work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (7 papers) and Advanced Authentication Protocols Security (6 papers). Mohammed Mujib Alshahrani is often cited by papers focused on Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (7 papers) and Advanced Authentication Protocols Security (6 papers). Mohammed Mujib Alshahrani collaborates with scholars based in Saudi Arabia, Canada and Egypt. Mohammed Mujib Alshahrani's co-authors include Issa Traoré, Amjad Alsirhani, Abdullah Alomari, Fayez Gebali, Ahmed I. Taloba, Rasha M. Abd El-Aziz, Hamad Naeem, Mostafa Salem, Isaac Woungang and Syed Aziz Shah and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Mohammed Mujib Alshahrani

19 papers receiving 333 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 Mujib Alshahrani Saudi Arabia 11 221 159 104 98 65 24 356
Anni Peng China 3 245 1.1× 146 0.9× 109 1.0× 110 1.1× 56 0.9× 5 367
Vipindev Adat Vasudevan Greece 7 288 1.3× 117 0.7× 99 1.0× 97 1.0× 85 1.3× 24 371
Bilal Rauf Pakistan 6 259 1.2× 120 0.8× 92 0.9× 96 1.0× 58 0.9× 11 344
Xing Gao United States 10 208 0.9× 157 1.0× 127 1.2× 193 2.0× 56 0.9× 30 399
Sooyeon Shin South Korea 8 276 1.2× 197 1.2× 100 1.0× 83 0.8× 52 0.8× 19 404
Jeong‐Nyeo Kim South Korea 9 210 1.0× 138 0.9× 105 1.0× 84 0.9× 66 1.0× 61 326
José Ribeiro Portugal 11 340 1.5× 194 1.2× 157 1.5× 120 1.2× 109 1.7× 26 473
Lina Ge China 2 344 1.6× 194 1.2× 142 1.4× 109 1.1× 72 1.1× 7 457
Amarsinh Vidhate India 8 286 1.3× 151 0.9× 158 1.5× 106 1.1× 59 0.9× 42 401
Suman Bhunia United States 12 236 1.1× 127 0.8× 100 1.0× 39 0.4× 133 2.0× 57 397

Countries citing papers authored by Mohammed Mujib Alshahrani

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Mujib Alshahrani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed Mujib Alshahrani

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Mujib Alshahrani. A scholar is included among the top collaborators of Mohammed Mujib Alshahrani 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 Mujib Alshahrani. Mohammed Mujib Alshahrani 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.
Mohapatra, Ambarish G., et al.. (2025). Integration of IoT, Automation, and Real-Time Analytics for Intelligent Pressure Control in Industry 5.0 Smart Manufacturing. IEEE Transactions on Consumer Electronics. 71(3). 8653–8661.
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Ewees, Ahmed A., et al.. (2025). Optimizing feature selection and remote sensing classification with an enhanced machine learning method. The Journal of Supercomputing. 81(2). 3 indexed citations
5.
Alshahrani, Mohammed Mujib. (2024). A Verifiable Discrete Trust Model (VDTM) Using Congruent Federated Learning (CFL) for Social Internet of Vehicles. IEEE Open Journal of Vehicular Technology. 5. 1441–1456.
6.
Ezz, Mohamed, et al.. (2024). Computational challenges and solutions: Prime number generation for enhanced data security. PLoS ONE. 19(11). e0311782–e0311782.
7.
Ewees, Ahmed A., et al.. (2024). Improved machine learning technique for feature reduction and its application in spam email detection. Journal of Intelligent Information Systems. 62(6). 1749–1771. 2 indexed citations
8.
Tariq, Noshina, Amjad Alsirhani, Abdullah Alomari, et al.. (2023). GITM: A GINI Index-Based Trust Mechanism to Mitigate and Isolate Sybil Attack in RPL-Enabled Smart Grid Advanced Metering Infrastructures. IEEE Access. 11. 62697–62720. 19 indexed citations
9.
Alqazzaz, Ali, Mohammad Tabrez Quasim, Mohammed Mujib Alshahrani, Ibrahim Alrashdi, & Mohammad Ayoub Khan. (2023). A Deep Learning Model to Analyse Social-Cyber Psychological Problems in Youth. Computer Systems Science and Engineering. 46(1). 551–562. 5 indexed citations
10.
Alshahrani, Mohammed Mujib. (2023). A Secure and Intelligent Software-Defined Networking Framework for Future Smart Cities to Prevent DDoS Attack. Applied Sciences. 13(17). 9822–9822. 15 indexed citations
11.
Alsirhani, Amjad, et al.. (2023). A novel approach to predicting the stability of the smart grid utilizing MLP-ELM technique. Alexandria Engineering Journal. 74. 495–508. 41 indexed citations
12.
Ullah, Farhan, Amjad Alsirhani, Mohammed Mujib Alshahrani, et al.. (2022). Explainable Malware Detection System Using Transformers-Based Transfer Learning and Multi-Model Visual Representation. Sensors. 22(18). 6766–6766. 41 indexed citations
13.
Bhardwaj, Akashdeep, Keshav Kaushik, Abdullah Alomari, et al.. (2022). BTH: Behavior-Based Structured Threat Hunting Framework to Analyze and Detect Advanced Adversaries. Electronics. 11(19). 2992–2992. 11 indexed citations
14.
Khan, Faheem, Abdullah Alomari, Amjad Alsirhani, et al.. (2022). Development of a Model for Spoofing Attacks in Internet of Things. Mathematics. 10(19). 3686–3686. 20 indexed citations
15.
Bhardwaj, Akashdeep, et al.. (2022). Efficient, Lightweight Cyber Intrusion Detection System for IoT Ecosystems Using MI2G Algorithm. Computers. 11(10). 142–142. 10 indexed citations
16.
Alshahrani, Mohammed Mujib. (2021). Secure Multifactor Remote Access User Authentication Framework for IoT Networks. Computers, materials & continua/Computers, materials & continua (Print). 68(3). 3235–3254. 8 indexed citations
17.
Alshahrani, Mohammed Mujib, et al.. (2020). Secure remote anonymous user authentication scheme for smart home environment. Internet of Things. 9. 100158–100158. 57 indexed citations
18.
Alshahrani, Mohammed Mujib, Issa Traoré, & Isaac Woungang. (2019). Design and Implementation of a Lightweight Authentication Framework for the Internet of Things (IoT). 4. 185–194. 3 indexed citations
19.
Alshahrani, Mohammed Mujib, Issa Traoré, & Isaac Woungang. (2019). Anonymous IoT Mutual Inter-Device Authentication Scheme Based on Incremental Counter (AIMIA-IC). 31–41. 2 indexed citations
20.
Traoré, Issa, Mohammed Mujib Alshahrani, & Mohammad S. Obaidat. (2018). State of the art and perspectives on traditional and emerging biometrics: A survey. Security and Privacy. 1(6). 12 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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