Benoît Miramond

968 total citations
39 papers, 436 citations indexed

About

Benoît Miramond is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Benoît Miramond has authored 39 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 15 papers in Cognitive Neuroscience and 12 papers in Computer Networks and Communications. Recurrent topics in Benoît Miramond's work include Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (15 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). Benoît Miramond is often cited by papers focused on Advanced Memory and Neural Computing (21 papers), Neural dynamics and brain function (15 papers) and Ferroelectric and Negative Capacitance Devices (8 papers). Benoît Miramond collaborates with scholars based in France, Switzerland and Australia. Benoît Miramond's co-authors include Alain Pégatoquet, Vincent Gripon, Lyes Khacef, Jean-Marc Delosme, François Verdier, Nicolas Cuperlier, Andrés Upegui, D. Barrientos, Andréa Castagnetti and Bertrand Granado and has published in prestigious journals such as Sensors, Neural Networks and Frontiers in Neuroscience.

In The Last Decade

Benoît Miramond

34 papers receiving 425 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benoît Miramond France 11 248 127 100 94 84 39 436
Rachmad Vidya Wicaksana Putra Indonesia 14 376 1.5× 132 1.0× 29 0.3× 80 0.9× 75 0.9× 47 470
Jose V. Francés-Víllora Spain 11 156 0.6× 120 0.9× 106 1.1× 61 0.6× 23 0.3× 23 451
Mokhtar Nibouche United Kingdom 9 142 0.6× 86 0.7× 91 0.9× 102 1.1× 31 0.4× 55 389
Tobias Gemmeke Germany 12 338 1.4× 100 0.8× 41 0.4× 41 0.4× 125 1.5× 70 517
Zehra Gülru Çam Taşkıran Türkiye 9 234 0.9× 102 0.8× 28 0.3× 52 0.6× 74 0.9× 28 416
Mohamed A. Abd El Ghany Egypt 13 221 0.9× 127 1.0× 53 0.5× 113 1.2× 227 2.7× 100 596
Ali Jafari United States 11 128 0.5× 86 0.7× 73 0.7× 109 1.2× 32 0.4× 23 369
Yijun Liu China 11 199 0.8× 70 0.6× 24 0.2× 81 0.9× 70 0.8× 31 393
Omar Eldash United States 11 206 0.8× 146 1.1× 19 0.2× 85 0.9× 54 0.6× 26 405
Shahpour Alirezaee Canada 13 251 1.0× 70 0.6× 53 0.5× 80 0.9× 39 0.5× 70 486

Countries citing papers authored by Benoît Miramond

Since Specialization
Citations

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

Fields of papers citing papers by Benoît Miramond

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benoît Miramond

This figure shows the co-authorship network connecting the top 25 collaborators of Benoît Miramond. A scholar is included among the top collaborators of Benoît Miramond 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 Benoît Miramond. Benoît Miramond 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.
Belleudy, Cécile, et al.. (2025). Predictive Data-Driven Energy Efficiency in a Field-Deployed Wireless Sensor Network. IEEE Transactions on Instrumentation and Measurement. 74. 1–15.
2.
Belleudy, Cécile, et al.. (2024). Enhancing Wireless Sensor Networks Lifetime through On-Device Prediction. 1–6. 2 indexed citations
3.
Belleudy, Cécile, et al.. (2024). Semi-Decentralized Prediction Method for Energy-Efficient Wireless Sensor Networks. IEEE Sensors Letters. 8(4). 1–4. 3 indexed citations
4.
5.
Pégatoquet, Alain, et al.. (2024). Embedded event based object detection with spiking neural network. SPIRE - Sciences Po Institutional REpository. 1–8.
6.
Castagnetti, Andréa, Alain Pégatoquet, & Benoît Miramond. (2023). SPIDEN: deep Spiking Neural Networks for efficient image denoising. Frontiers in Neuroscience. 17. 1224457–1224457. 1 indexed citations
7.
Castagnetti, Andréa, Alain Pégatoquet, & Benoît Miramond. (2023). Trainable quantization for Speedy Spiking Neural Networks. Frontiers in Neuroscience. 17. 1154241–1154241. 6 indexed citations
8.
Miramond, Benoît, et al.. (2023). Unsupervised Anomaly Detection for Cars CAN Sensors Time Series Using Small Recurrent and Convolutional Neural Networks. Sensors. 23(11). 5013–5013. 15 indexed citations
9.
Ferrero, Fabien, et al.. (2023). Internet of Things terminal with Embedded Machine Learning Capabilities for Terrestrial and Space Communication Experiments. SPIRE - Sciences Po Institutional REpository. 12. 339–344. 1 indexed citations
10.
Miramond, Benoît, et al.. (2023). Time series prediction and anomaly detection with recurrent spiking neural networks. SPIRE - Sciences Po Institutional REpository. 1–10. 3 indexed citations
11.
Miramond, Benoît, et al.. (2022). Generalization Ability of Deep Learning Algorithms Trained Using SEM Data for Objects Classification. Radio Science. 57(12). 2 indexed citations
12.
Miramond, Benoît, et al.. (2022). A Unified Software/Hardware Scalable Architecture for Brain-Inspired Computing Based on Self-Organizing Neural Models. Frontiers in Neuroscience. 16. 825879–825879. 7 indexed citations
13.
Miramond, Benoît, et al.. (2022). Object Detection with Spiking Neural Networks on Automotive Event Data. 2022 International Joint Conference on Neural Networks (IJCNN). 1–8. 72 indexed citations
14.
Khacef, Lyes, et al.. (2020). Brain-Inspired Self-Organization with Cellular Neuromorphic Computing for Multimodal Unsupervised Learning. arXiv (Cornell University). 13 indexed citations
15.
Miramond, Benoît, et al.. (2019). Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. Neural Networks. 121. 366–386. 37 indexed citations
16.
Khacef, Lyes, et al.. (2018). Confronting machine-learning with neuroscience for neuromorphic architectures design. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–8. 22 indexed citations
17.
Miramond, Benoît, et al.. (2015). Toward a Sparse Self-Organizing Map for Neuromorphic Architectures. ACM Journal on Emerging Technologies in Computing Systems. 11(4). 1–25. 6 indexed citations
18.
Miramond, Benoît, et al.. (2015). Hardware design of a neural processing unit for bio-inspired computing. iii. 1–4. 7 indexed citations
19.
Cuperlier, Nicolas, et al.. (2014). Embedded and real-time architecture for bio-inspired vision-based robot navigation. Journal of Real-Time Image Processing. 10(4). 699–722. 15 indexed citations
20.
Miramond, Benoît & Jean-Marc Delosme. (2005). Design Space Exploration for Dynamically Reconfigurable Architectures. Design, Automation, and Test in Europe. 366–371. 14 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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