Mohammed E. Fouda

3.5k total citations
167 papers, 2.5k citations indexed

About

Mohammed E. Fouda is a scholar working on Electrical and Electronic Engineering, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Mohammed E. Fouda has authored 167 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Electrical and Electronic Engineering, 37 papers in Cellular and Molecular Neuroscience and 32 papers in Artificial Intelligence. Recurrent topics in Mohammed E. Fouda's work include Advanced Memory and Neural Computing (96 papers), Ferroelectric and Negative Capacitance Devices (41 papers) and Neuroscience and Neural Engineering (32 papers). Mohammed E. Fouda is often cited by papers focused on Advanced Memory and Neural Computing (96 papers), Ferroelectric and Negative Capacitance Devices (41 papers) and Neuroscience and Neural Engineering (32 papers). Mohammed E. Fouda collaborates with scholars based in United States, Egypt and Saudi Arabia. Mohammed E. Fouda's co-authors include Ahmed G. Radwan, Ahmed M. Eltawil, Ahmed S. Elwakil, Anis Allagui, K. Saláma, Fadi Kurdahi, Wenzhe Guo, Lobna A. Said, Abdullah G. Alharbi and Masud H. Chowdhury and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Mohammed E. Fouda

156 papers receiving 2.5k 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 E. Fouda United States 28 2.0k 626 403 363 358 167 2.5k
Dongsheng Yu China 23 1.4k 0.7× 330 0.5× 252 0.6× 269 0.7× 448 1.3× 130 1.8k
Said F. Al-Sarawi Australia 33 3.4k 1.7× 740 1.2× 236 0.6× 284 0.8× 81 0.2× 169 4.4k
Chao Du China 28 4.2k 2.1× 1.2k 1.9× 1.1k 2.6× 863 2.4× 71 0.2× 80 4.8k
Viera Biolková Czechia 27 3.4k 1.7× 1.4k 2.2× 297 0.7× 606 1.7× 348 1.0× 173 3.7k
Baker Mohammad United Arab Emirates 29 2.3k 1.2× 619 1.0× 277 0.7× 296 0.8× 50 0.1× 237 3.3k
Dalibor Biolek Czechia 33 4.3k 2.2× 1.5k 2.5× 330 0.8× 648 1.8× 391 1.1× 220 4.7k
A.D. Brown United Kingdom 19 1.9k 0.9× 401 0.6× 310 0.8× 484 1.3× 19 0.1× 102 2.3k
Marco Storace Italy 23 580 0.3× 85 0.1× 208 0.5× 375 1.0× 610 1.7× 159 1.8k
Zdeněk Biolek Czechia 17 1.9k 1.0× 1.1k 1.7× 224 0.6× 562 1.5× 319 0.9× 68 2.0k
Arindam Basu Singapore 29 2.6k 1.3× 954 1.5× 681 1.7× 741 2.0× 69 0.2× 150 3.1k

Countries citing papers authored by Mohammed E. Fouda

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed E. Fouda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohammed E. Fouda

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed E. Fouda. A scholar is included among the top collaborators of Mohammed E. Fouda 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 E. Fouda. Mohammed E. Fouda 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.
Smagulova, Kamilya, et al.. (2025). A recurrent YOLOv8-based framework for event-based object detection. Frontiers in Neuroscience. 18. 1477979–1477979. 2 indexed citations
2.
El-Beltagy, Mohamed A., et al.. (2025). A generalized local fractional derivative with applications. Journal of Computational Physics. 530. 113903–113903. 1 indexed citations
3.
Krestinskaya, Olga, Mohammed E. Fouda, Ahmed M. Eltawil, & K. Saláma. (2025). CIMNAS: A Joint Framework for Compute-In-Memory-Aware Neural Architecture Search. 3(1). 48–60.
4.
Said, Lobna A., et al.. (2024). Chaotic neural network quantization and its robustness against adversarial attacks. Knowledge-Based Systems. 286. 111319–111319. 5 indexed citations
5.
Krestinskaya, Olga, Mohammed E. Fouda, Kaoutar El Maghraoui, et al.. (2024). Neural architecture search for in-memory computing-based deep learning accelerators. 1(6). 374–390. 11 indexed citations
6.
Kanj, Rouwaida, et al.. (2024). Reconfigurable Precision SRAM-based Analog In-memory-compute Macro Design. 1–5. 2 indexed citations
7.
Fouda, Mohammed E., et al.. (2024). Variability-Aware Design of RRAM-Based Analog CAMs. IEEE Access. 12. 55859–55873. 2 indexed citations
8.
Smagulova, Kamilya, et al.. (2024). Robustness and Transferability of Adversarial Attacks on Different Image Classification Neural Networks. Electronics. 13(3). 592–592. 2 indexed citations
9.
Fouda, Mohammed E., et al.. (2024). A Review of State-of-the-art Mixed-Precision Neural Network Frameworks. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 7793–7812. 4 indexed citations
10.
Guo, Wenzhe, Mohammed E. Fouda, Ahmed M. Eltawil, & K. Saláma. (2023). Supervised Local Training With Backward Links for Deep Neural Networks. IEEE Transactions on Artificial Intelligence. 5(2). 854–867.
11.
Fouda, Mohammed E., et al.. (2023). FPGA Implementation of Associative Processors. IEEE Transactions on Circuits & Systems II Express Briefs. 70(5). 1774–1778. 2 indexed citations
12.
Fouda, Mohammed E., et al.. (2023). DT2CAM: A Decision Tree to Content Addressable Memory Framework. IEEE Transactions on Emerging Topics in Computing. 11(3). 805–810. 5 indexed citations
13.
Smagulova, Kamilya, Mohammed E. Fouda, Fadi Kurdahi, K. Saláma, & Ahmed M. Eltawil. (2023). Resistive Neural Hardware Accelerators. Proceedings of the IEEE. 111(5). 500–527. 11 indexed citations
14.
Fouda, Mohammed E., et al.. (2022). Training-Free Stuck-At Fault Mitigation for ReRAM-Based Deep Learning Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(7). 2174–2186. 7 indexed citations
15.
Lee, Sugil, Mohammed E. Fouda, Jongeun Lee, Ahmed M. Eltawil, & Fadi Kurdahi. (2022). Offline Training-Based Mitigation of IR Drop for ReRAM-Based Deep Neural Network Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(2). 521–532. 9 indexed citations
16.
Payvand, Melika, Mohammed E. Fouda, Fadi Kurdahi, Ahmed M. Eltawil, & Emre Neftci. (2020). On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 10(4). 522–535. 22 indexed citations
17.
Fouda, Mohammed E., et al.. (2020). IR-QNN Framework: An IR Drop-Aware Offline Training of Quantized Crossbar Arrays. IEEE Access. 8. 228392–228408. 24 indexed citations
18.
Fouda, Mohammed E., et al.. (2020). Design Exploration of Sensing Techniques in 2T-2R Resistive Ternary CAMs. IEEE Transactions on Circuits & Systems II Express Briefs. 68(2). 762–766. 9 indexed citations
19.
Guo, Wenzhe, et al.. (2020). Towards Efficient Neuromorphic Hardware: Unsupervised Adaptive Neuron Pruning. Electronics. 9(7). 1059–1059. 16 indexed citations
20.
Radwan, Ahmed G. & Mohammed E. Fouda. (2014). Simple Floating Voltage-Controlled Memductor Emulator for Analog Applications. SHILAP Revista de lepidopterología. 16 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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