Hesham Mostafa

3.6k citations
27 papers · 2.1k · 2 hit papers · h-index 12

Impact in

Papers in

Hesham Mostafa

21 papers receiving 2.1k citations

Hesham Mostafa's Hit Papers

Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks 2019 · 773 citations
7730+3+7Years since publication250500750

Peers

Hesham Mostafa
Comparison fields: 5 of 69
  • Cognitive Neuroscience 1.1k
  • Electrical and Electronic Engineering 1.8k
  • Cellular and Molecular Neuroscience 517
  • Artificial Intelligence 780
  • Computational Mathematics 7
Replace Yujie Wu with:
Yujie Wu China
Federico Corradi Netherlands
Pallab Datta United States
Alejandro Linares-Barranco Spain
Carmelo di Nolfo United States
Rathinakumar Appuswamy United States
Garrick Orchard Singapore
Jeffrey L. McKinstry United States
Emre Neftci United States
Gregory Cohen Australia
Hesham Mostafa relative to Yujie Wu China Yujie Wu's profile →
Citations per field
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Yujie Wu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hesham Mostafa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hesham Mostafa Line = papers co-authored together Hesham Mostafa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-Based Optimization to Spiking Neural Networks
Hit paper breakdown →
2019773
2
A reconfigurable on-line learning spiking neuromorphic processor comprising 256 neurons and 128K synapses
Hit paper breakdown →
2015469
3 2017243
4 2018205
5 2020179
6 201542
7 201937
8 201733
9 201527
10 201823
11 201412
12 201611
13 201811
14
Synaptic Plasticity Dynamics for Deep Continuous Local Learning.
201810
15 20239
16 20159
17 20148
18 20134
19 20253
20 20133

About Hesham Mostafa

Hesham Mostafa is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (12 papers), Neuroscience and Neural Engineering (5 papers), Neural Networks and Reservoir Computing (5 papers), Neural Networks and Applications (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers), Advanced Neural Network Applications (2 papers) and Constraint Satisfaction and Optimization (2 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Electrical and Electronic Engineering (1.8k citations), Cellular and Molecular Neuroscience (517 citations), Artificial Intelligence (780 citations) and Computational Mathematics (7 citations). Hesham Mostafa has collaborated with scholars based in Switzerland, United States and Germany. Frequent 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. Their work appears in journals such as Frontiers in Neuroscience, Scientific Reports, Neural Computation, IEEE Transactions on Neural Networks and Learning Systems and IEEE Signal Processing Magazine.

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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