Mohamed Baza

1.2k total citations · 1 hit paper
53 papers, 606 citations indexed

About

Mohamed Baza is a scholar working on Information Systems, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Mohamed Baza has authored 53 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Information Systems, 22 papers in Artificial Intelligence and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Mohamed Baza's work include Blockchain Technology Applications and Security (21 papers), Smart Grid Security and Resilience (9 papers) and Privacy-Preserving Technologies in Data (9 papers). Mohamed Baza is often cited by papers focused on Blockchain Technology Applications and Security (21 papers), Smart Grid Security and Resilience (9 papers) and Privacy-Preserving Technologies in Data (9 papers). Mohamed Baza collaborates with scholars based in United States, Saudi Arabia and Canada. Mohamed Baza's co-authors include Mohamed Mahmoud, Waleed Alasmary, Gautam Srivastava, Ali Alshehri, Ahmed Sherif, Mahmoud M. Badr, Mohamed Abdallah, Xiaodong Lin, Spiridon Bakiras and Adil O. Khadidos and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Vehicular Technology.

In The Last Decade

Mohamed Baza

46 papers receiving 591 citations

Hit Papers

An artificial intelligenc... 2023 2026 2024 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohamed Baza United States 12 333 221 191 184 112 53 606
Ao Lei United Kingdom 9 478 1.4× 352 1.6× 366 1.9× 197 1.1× 48 0.4× 17 747
Chibueze P. Anyigor Ogah United Kingdom 6 393 1.2× 267 1.2× 312 1.6× 155 0.8× 39 0.3× 6 607
Sangdon Park South Korea 15 197 0.6× 409 1.9× 258 1.4× 130 0.7× 171 1.5× 48 764
Robert Basmadjian Germany 13 274 0.8× 291 1.3× 326 1.7× 100 0.5× 120 1.1× 49 645
Philip Asuquo United Kingdom 11 493 1.5× 357 1.6× 408 2.1× 213 1.2× 44 0.4× 24 811
Muhammad Umar Javed Pakistan 16 440 1.3× 547 2.5× 224 1.2× 155 0.8× 204 1.8× 37 842
Debashis Das India 13 337 1.0× 99 0.4× 168 0.9× 190 1.0× 37 0.3× 50 560
Marco Steger Austria 7 558 1.7× 277 1.3× 311 1.6× 165 0.9× 40 0.4× 10 716
Pascal Urien France 13 340 1.0× 320 1.4× 495 2.6× 227 1.2× 67 0.6× 109 823
Ouns Bouachir United Arab Emirates 16 256 0.8× 327 1.5× 382 2.0× 116 0.6× 97 0.9× 42 780

Countries citing papers authored by Mohamed Baza

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Baza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohamed Baza

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Baza. A scholar is included among the top collaborators of Mohamed Baza 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 Mohamed Baza. Mohamed Baza 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
2.
Rasheed, Amar, et al.. (2024). Identifying Tampered Radio-Frequency Transmissions in LoRa Networks Using Machine Learning. Sensors. 24(20). 6611–6611. 1 indexed citations
3.
Baza, Mohamed, et al.. (2024). Privacy-Preserving Detection of Tampered Radio-Frequency Transmissions Utilizing Federated Learning in LoRa Networks. Sensors. 24(22). 7336–7336. 3 indexed citations
4.
5.
Alshehri, Ali, Mahmoud M. Badr, Mohamed Baza, & Hani Alshahrani. (2024). Deep Anomaly Detection Framework Utilizing Federated Learning for Electricity Theft Zero-Day Cyberattacks. Sensors. 24(10). 3236–3236. 11 indexed citations
6.
Rasheed, Amar, et al.. (2024). Detection of Malicious Threats Exploiting Clock-Gating Hardware Using Machine Learning. Sensors. 24(3). 983–983. 2 indexed citations
7.
Rajesh, V., et al.. (2023). Cloud-Based LeNet-5 CNN for MRI Brain Tumor Diagnosis and Recognition. Traitement du signal. 40(4). 1581–1592. 8 indexed citations
8.
Baza, Mohamed, Mohamed Mahmoud, Mostafa M. Fouda, et al.. (2023). Lightweight Multi-Class Support Vector Machine-Based Medical Diagnosis System with Privacy Preservation. Sensors. 23(22). 9033–9033. 7 indexed citations
9.
Rasheed, Amar, Mohamed Baza, Mahmoud M. Badr, Hani Alshahrani, & Kim‐Kwang Raymond Choo. (2023). Efficient Crypto Engine for Authenticated Encryption, Data Traceability, and Replay Attack Detection Over CAN Bus Network. IEEE Transactions on Network Science and Engineering. 11(1). 1008–1025. 12 indexed citations
10.
Baza, Mohamed, et al.. (2023). A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions. Computer Science Review. 48. 100547–100547. 41 indexed citations
11.
Alshehri, Ali, et al.. (2023). Privacy-Preserving E-Voting System Supporting Score Voting Using Blockchain. Applied Sciences. 13(2). 1096–1096. 11 indexed citations
12.
Alourani, Abdullah, et al.. (2023). An Enhanced and Secure Trust-Aware Improved GSO for Encrypted Data Sharing in the Internet of Things. Applied Sciences. 13(2). 831–831. 10 indexed citations
13.
Chen, Lili, Mohamed Baza, & Hani Alshahrani. (2023). Data Integration Method of Multi-source Feedback Evaluation for Remote Teaching Quality. Mobile Networks and Applications. 28(3). 924–934. 1 indexed citations
14.
Baza, Mohamed, et al.. (2023). Highly Reliable Robust Mining of Educational Data Features in Universities Based on Dynamic Semantic Memory Networks. Mobile Networks and Applications. 28(5). 1772–1782.
15.
Baza, Mohamed, et al.. (2022). Privacy-Preserving Charging Coordination Scheme for Smart Power Grids Using a Blockchain. Energies. 15(23). 8996–8996. 8 indexed citations
16.
Baza, Mohamed, Mahmoud M. Badr, Mohamed Mahmoud, et al.. (2021). Efficient Search Over Encrypted Medical Data With Known-Plaintext/Background Models and Unlinkability. IEEE Access. 9. 151129–151141. 15 indexed citations
17.
Baza, Mohamed, Ahmed Sherif, Mohamed Mahmoud, et al.. (2021). Privacy-Preserving Blockchain-Based Energy Trading Schemes for Electric Vehicles. IEEE Transactions on Vehicular Technology. 70(9). 9369–9384. 105 indexed citations
18.
Baza, Mohamed, et al.. (2021). Secure and Efficient AKA Scheme and Uniform Handover Protocol for 5G Network Using Blockchain. IEEE Open Journal of the Communications Society. 2. 2616–2627. 7 indexed citations
19.
Baza, Mohamed, et al.. (2021). Multidata-Owner Searchable Encryption Scheme Over Medical Cloud Data With Efficient Access Control. IEEE Systems Journal. 16(3). 5067–5078. 10 indexed citations
20.
Baza, Mohamed, Ahmed Sherif, Mahmoud Nabil, et al.. (2021). Privacy-Preserving and Collusion-Resistant Charging Coordination Schemes for Smart Grids. IEEE Transactions on Dependable and Secure Computing. 19(4). 2226–2243. 13 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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