Lyes Khacef

528 total citations
13 papers, 268 citations indexed

About

Lyes Khacef is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Lyes Khacef has authored 13 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 9 papers in Cognitive Neuroscience and 5 papers in Artificial Intelligence. Recurrent topics in Lyes Khacef's work include Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Neural Engineering (4 papers). Lyes Khacef is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Neural Engineering (4 papers). Lyes Khacef collaborates with scholars based in Switzerland, Netherlands and France. Lyes Khacef's co-authors include Gemma Taverni, Enea Ceolini, Elisa Donati, Melika Payvand, Charlotte Frenkel, Sumit Bam Shrestha, Benoît Miramond, Elisabetta Chicca, P. Klein and Arianna Rubino and has published in prestigious journals such as SHILAP Revista de lepidopterología, Frontiers in Neuroscience and University of Groningen research database (University of Groningen / Centre for Information Technology).

In The Last Decade

Lyes Khacef

12 papers receiving 265 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lyes Khacef Switzerland	8	177	122	75	53	49	13	268
Sumit Bam Shrestha Singapore	11	206 1.2×	160 1.3×	124 1.7×	56 1.1×	40 0.8×	16	325
Charlotte Frenkel Belgium	10	375 2.1×	143 1.2×	133 1.8×	91 1.7×	75 1.5×	32	489
Fernando Perez‐Peña Spain	10	224 1.3×	113 0.9×	49 0.7×	109 2.1×	31 0.6×	40	295
Gianluca Susi Spain	10	119 0.7×	102 0.8×	58 0.8×	52 1.0×	17 0.3×	33	261
J. Camilo Vasquez Tieck Germany	9	110 0.6×	78 0.6×	30 0.4×	49 0.9×	30 0.6×	14	166
Donglin Li China	6	124 0.7×	216 1.8×	38 0.5×	91 1.7×	39 0.8×	19	302
Rodolphe Héliot France	11	281 1.6×	185 1.5×	54 0.7×	196 3.7×	110 2.2×	29	444
Xinlin Sun China	11	36 0.2×	214 1.8×	34 0.5×	34 0.6×	45 0.9×	23	312
Jacques Kaiser Germany	11	361 2.0×	216 1.8×	115 1.5×	99 1.9×	38 0.8×	26	510
Rajesh C. Panicker Singapore	8	81 0.5×	252 2.1×	25 0.3×	151 2.8×	47 1.0×	19	375

Countries citing papers authored by Lyes Khacef

Since Specialization

Citations

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

Fields of papers citing papers by Lyes Khacef

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lyes Khacef

This figure shows the co-authorship network connecting the top 25 collaborators of Lyes Khacef. A scholar is included among the top collaborators of Lyes Khacef 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 Lyes Khacef. Lyes Khacef is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Vogt, Christian, et al.. (2025). Towards Low-Latency Event-Based Obstacle Avoidance on a FPGA-Drone. 4938–4946.

Perez‐Peña, Fernando, et al.. (2024). ETLP: event-based three-factor local plasticity for online learning with neuromorphic hardware. SHILAP Revista de lepidopterología. 4(3). 34006–34006. 3 indexed citations

Paredes-Vallés, Federico, et al.. (2024). Low-power event-based face detection with asynchronous neuromorphic hardware. 1–10. 1 indexed citations

Khacef, Lyes, et al.. (2023). Spike-based local synaptic plasticity: a survey of computational models and neuromorphic circuits. SHILAP Revista de lepidopterología. 3(4). 42001–42001. 26 indexed citations

Chicca, Elisabetta, et al.. (2023). Impact of spiking neurons leakages and network recurrences on event-based spatio-temporal pattern recognition. Frontiers in Neuroscience. 17. 1244675–1244675. 14 indexed citations

Nilsson, Mattias, et al.. (2023). A Comparison of Temporal Encoders for Neuromorphic Keyword Spotting with Few Neurons. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–7. 2 indexed citations

Khacef, Lyes, et al.. (2022). Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware. Frontiers in Neuroscience. 16. 951164–951164. 36 indexed citations

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

Khacef, Lyes, et al.. (2020). Brain-Inspired Self-Organization with Cellular Neuromorphic Computing for Multimodal Unsupervised Learning. arXiv (Cornell University). 13 indexed citations

10.

Ceolini, Enea, Charlotte Frenkel, Sumit Bam Shrestha, et al.. (2020). Hand-Gesture Recognition Based on EMG and Event-Based Camera Sensor Fusion: A Benchmark in Neuromorphic Computing. Frontiers in Neuroscience. 14. 637–637. 127 indexed citations

11.

Ceolini, Enea, Gemma Taverni, Lyes Khacef, Melika Payvand, & Elisa Donati. (2019). Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–1. 6 indexed citations

12.

Khacef, Lyes, Benoît Miramond, D. Barrientos, & Andrés Upegui. (2019). Self-organizing neurons: toward brain-inspired unsupervised learning. University of Groningen research database (University of Groningen / Centre for Information Technology). 1–9. 11 indexed citations

13.

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

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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