Hesham Mostafa

3.6k total citations · 2 hit papers
27 papers, 2.1k citations indexed

About

Hesham Mostafa is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Hesham Mostafa has authored 27 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Electrical and Electronic Engineering, 13 papers in Artificial Intelligence and 12 papers in Cognitive Neuroscience. Recurrent topics in Hesham Mostafa's work include Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (12 papers) and Neural Networks and Reservoir Computing (5 papers). Hesham Mostafa is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (12 papers) and Neural Networks and Reservoir Computing (5 papers). Hesham Mostafa collaborates with scholars based in Switzerland, United States and Egypt. Hesham Mostafa's co-authors include Emre Neftci, Friedemann Zenke, Giacomo Indiveri, Federico Corradi, Fabio Stefanini, Marc Osswald, Ning Qiao, Jacques Kaiser, Ricardo Tapiador-Morales and Xin Wang and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Physics D Applied Physics.

In The Last Decade

Hesham Mostafa

21 papers receiving 2.1k citations

Hit Papers

Surrogate Gradient Learning in Spiking Neural Networks:... 2015 2026 2018 2022 2019 2015 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hesham Mostafa Switzerland 12 1.8k 1.1k 780 517 221 27 2.1k
Yujie Wu China 17 2.0k 1.1× 1.2k 1.2× 864 1.1× 443 0.9× 138 0.6× 36 2.4k
Carmelo di Nolfo United States 8 2.6k 1.4× 673 0.6× 844 1.1× 744 1.4× 232 1.0× 10 2.9k
Saeed Reza Kheradpisheh Iran 12 1.4k 0.8× 1.0k 1.0× 673 0.9× 345 0.7× 129 0.6× 27 1.8k
Pallab Datta United States 6 1.7k 0.9× 677 0.6× 698 0.9× 471 0.9× 177 0.8× 6 1.9k
Garrick Orchard Singapore 19 2.0k 1.1× 963 0.9× 666 0.9× 430 0.8× 483 2.2× 45 2.5k
Federico Corradi Netherlands 20 1.4k 0.8× 678 0.6× 471 0.6× 550 1.1× 233 1.1× 56 1.8k
Emre Neftci United States 22 2.2k 1.2× 1.4k 1.3× 1.0k 1.3× 584 1.1× 110 0.5× 74 2.7k
Jeffrey L. McKinstry United States 10 924 0.5× 530 0.5× 450 0.6× 231 0.4× 209 0.9× 17 1.2k
Rathinakumar Appuswamy United States 8 3.3k 1.8× 1.1k 1.1× 1.2k 1.5× 1.2k 2.3× 239 1.1× 13 3.6k
Gregory Cohen Australia 14 899 0.5× 498 0.5× 923 1.2× 230 0.4× 351 1.6× 39 1.9k

Countries citing papers authored by Hesham Mostafa

Since Specialization
Citations

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

Fields of papers citing papers by Hesham Mostafa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hesham Mostafa

This figure shows the co-authorship network connecting the top 25 collaborators of Hesham Mostafa. A scholar is included among the top collaborators of Hesham Mostafa 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 Hesham Mostafa. Hesham Mostafa 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.
El‐kenawy, El‐Sayed M., et al.. (2025). Renewable energy forecasting using optimized quantum temporal model based on Ninja optimization algorithm. Scientific Reports. 15(1). 14714–14714. 3 indexed citations
2.
El‐kenawy, El‐Sayed M., et al.. (2025). Machine Learning Models with Statistical Analysis Techniques for ForecastingWind Turbines Scada Systems Measurement. Fusion Practice and Applications. 19(2). 64–81.
3.
Alhussan, Amel Ali, et al.. (2025). Enhancing green hydrogen forecasting with a spatio-temporal graph convolutional network optimized by the Ninja algorithm. Scientific Reports. 15(1). 39012–39012.
6.
Mostafa, Hesham, et al.. (2024). FloorSet - a VLSI Floorplanning Dataset with Design Constraints of Real-World SOCs.. 1–9. 1 indexed citations
7.
Mostafa, Hesham, et al.. (2023). Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5119–5128. 9 indexed citations
8.
Mostafa, Hesham, et al.. (2021). GG-Net: Gaze Guided Network for Self-driving Cars. Electronic Imaging. 33(17). 171–1.
9.
Kaiser, Jacques, Hesham Mostafa, & Emre Neftci. (2020). Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE). Frontiers in Neuroscience. 14. 424–424. 179 indexed citations
10.
Neftci, Emre, Hesham Mostafa, & Friedemann Zenke. (2019). Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks. IEEE Signal Processing Magazine. 36(6). 51–63. 773 indexed citations breakdown →
11.
Kaiser, Jacques, Hesham Mostafa, & Emre Neftci. (2018). Synaptic Plasticity Dynamics for Deep Continuous Local Learning.. arXiv (Cornell University). 10 indexed citations
12.
Mostafa, Hesham, Antonio Ríos-Navarro, Ricardo Tapiador-Morales, et al.. (2018). NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. IEEE Transactions on Neural Networks and Learning Systems. 30(3). 644–656. 205 indexed citations
13.
Mostafa, Hesham. (2017). Supervised Learning Based on Temporal Coding in Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 29(7). 1–9. 243 indexed citations
14.
Mostafa, Hesham, Christian Mayr, & Giacomo Indiveri. (2016). Beyond spike-timing dependent plasticity in memristor crossbar arrays. 9. 926–929. 11 indexed citations
15.
Mostafa, Hesham, Ali Khiat, Alexander Serb, et al.. (2015). Implementation of a spike-based perceptron learning rule using TiO2−x memristors. Frontiers in Neuroscience. 9. 357–357. 27 indexed citations
16.
Mostafa, Hesham, Lorenz K. Müller, & Giacomo Indiveri. (2015). An event-based architecture for solving constraint satisfaction problems. Nature Communications. 6(1). 8941–8941. 42 indexed citations
17.
Qiao, Ning, Hesham Mostafa, Federico Corradi, et al.. (2015). A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses. Frontiers in Neuroscience. 9. 141–141. 469 indexed citations breakdown →
18.
Mostafa, Hesham, Federico Corradi, Fabio Stefanini, & Giacomo Indiveri. (2014). A hybrid analog/digital Spike-Timing Dependent Plasticity learning circuit for neuromorphic VLSI multi-neuron architectures. 20. 854–857. 12 indexed citations
19.
Mostafa, Hesham & Giacomo Indiveri. (2014). Sequential Activity in Asymmetrically Coupled Winner-Take-All Circuits. Neural Computation. 26(9). 1973–2004. 8 indexed citations
20.
Mostafa, Hesham, Federico Corradi, Marc Osswald, & Giacomo Indiveri. (2013). Automated synthesis of asynchronous event-based interfaces for neuromorphic systems. 47. 1–4. 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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