Guillaume Garreau

1.5k total citations · 1 hit paper
17 papers, 719 citations indexed

About

Guillaume Garreau is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Guillaume Garreau has authored 17 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biomedical Engineering, 7 papers in Cognitive Neuroscience and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Guillaume Garreau's work include Advanced Memory and Neural Computing (5 papers), Gait Recognition and Analysis (5 papers) and Neural dynamics and brain function (3 papers). Guillaume Garreau is often cited by papers focused on Advanced Memory and Neural Computing (5 papers), Gait Recognition and Analysis (5 papers) and Neural dynamics and brain function (3 papers). Guillaume Garreau collaborates with scholars based in United States, Cyprus and United Kingdom. Guillaume Garreau's co-authors include Dharmendra S. Modha, Steve K. Esser, Tapan K. Nayak, Tobi Delbrück, Carmelo di Nolfo, Michael DeBole, Jeffrey L. McKinstry, Myron Flickner, Brian Taba and Jeff Kusnitz and has published in prestigious journals such as Journal of Computational Physics, Frontiers in Neuroscience and International Journal of Neural Systems.

In The Last Decade

Guillaume Garreau

17 papers receiving 696 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Low Power, Fully Event-Based Gesture Recognition System

2017 559 citations Arnon Amir, Brian Taba et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Guillaume Garreau United States	8	506	273	235	109	86	17	719
Hyoung-Nam Kim South Korea	13	307 0.6×	188 0.7×	112 0.5×	72 0.7×	49 0.6×	99	697
Yuhuang Hu Switzerland	8	855 1.7×	517 1.9×	288 1.2×	170 1.6×	175 2.0×	16	1.1k
Scott Koziol United States	13	329 0.7×	116 0.4×	93 0.4×	85 0.8×	96 1.1×	43	501
Xiaying Wang Switzerland	10	161 0.3×	287 1.1×	54 0.2×	56 0.5×	100 1.2×	29	455
Kashu Yamazaki United States	11	201 0.4×	130 0.5×	250 1.1×	188 1.7×	56 0.7×	20	657
Young-Eun Lee South Korea	12	149 0.3×	496 1.8×	73 0.3×	70 0.6×	197 2.3×	28	683
Mohammad Rafiqul Haider United States	15	456 0.9×	69 0.3×	110 0.5×	48 0.4×	106 1.2×	107	699
Bodo Rueckauer Switzerland	9	909 1.8×	580 2.1×	305 1.3×	67 0.6×	239 2.8×	20	1.0k
Sergey A. Lobov Russia	13	369 0.7×	338 1.2×	103 0.4×	26 0.2×	265 3.1×	43	712

Countries citing papers authored by Guillaume Garreau

Since Specialization

Citations

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

Fields of papers citing papers by Guillaume Garreau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guillaume Garreau

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

All Works

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17 of 17 papers shown

Sapsanis, Christos, et al.. (2018). StethoVest: A simultaneous multichannel wearable system for cardiac acoustic mapping. 11 indexed citations

Amir, Arnon, Brian Taba, David Van Den Berg, et al.. (2017). A Low Power, Fully Event-Based Gesture Recognition System. 7388–7397. 559 indexed citations breakdown →

Seo, Jung Hee, et al.. (2017). A method for the computational modeling of the physics of heart murmurs. Journal of Computational Physics. 336. 546–568. 24 indexed citations

Andreou, Andreas G., Guillaume Garreau, Garrick Orchard, et al.. (2016). Real-time sensory information processing using the TrueNorth Neurosynaptic System. 2911–2911. 10 indexed citations

Beck, Christoph, Guillaume Garreau, & Julius Georgiou. (2016). Sound Source Localization through 8 MEMS Microphones Array Using a Sand-Scorpion-Inspired Spiking Neural Network. Frontiers in Neuroscience. 10. 479–479. 6 indexed citations

Garreau, Guillaume, Kourosh Shoele, William Thompson, et al.. (2015). Mechanical design, instrumentation and measurements from a hemoacoustic cardiac phantom. 1–5. 3 indexed citations

Sanni, Kayode, et al.. (2015). FPGA implementation of a Deep Belief Network architecture for character recognition using stochastic computation. 1–5. 37 indexed citations

Bendixen, Alexandra, Andreas G. Andreou, Julius Georgiou, et al.. (2014). Do audio-visual motion cues promote segregation of auditory streams?. Frontiers in Neuroscience. 8. 64–64. 5 indexed citations

Durá-Bernal, Salvador, Guillaume Garreau, Julius Georgiou, et al.. (2013). MULTIMODAL INTEGRATION OF MICRO-DOPPLER SONAR AND AUDITORY SIGNALS FOR BEHAVIOR CLASSIFICATION WITH CONVOLUTIONAL NETWORKS. International Journal of Neural Systems. 23(5). 1350021–1350021. 10 indexed citations

10.

Garreau, Guillaume, et al.. (2013). Person localization through ground vibrations using a sand-scorpion inspired spiking neural network. 2. 1–4. 2 indexed citations

11.

Bõhm, Tamás M., Alexandra Bendixen, Andreas G. Andreou, et al.. (2013). The role of perceived source location in auditory stream segregation: Separation affects sound organization, common fate does not. 5(Supplement 2). 55–72. 5 indexed citations

12.

Rostro‐González, Horacio, et al.. (2012). An FPGA-based approach for parameter estimation in spiking neural networks. 56. 2897–2900. 1 indexed citations

13.

Garreau, Guillaume, Nicoletta Nicolaou, & Julius Georgiou. (2012). Individual classification through autoregressive modelling of micro-doppler signatures. 1. 312–315. 2 indexed citations

14.

Pouliquen, Philippe O., Andrew S. Cassidy, Andreas G. Andreou, Guillaume Garreau, & Julius Georgiou. (2011). A wireless architecture for distributed sensing/actuation and pre-processing with microsecond synchronization. 1. 1–6. 4 indexed citations

15.

Georgiou, Julius, Philippe O. Pouliquen, Andrew S. Cassidy, et al.. (2011). A multimodal-corpus data collection system for cognitive acoustic scene analysis. 1–6. 7 indexed citations

16.

Garreau, Guillaume, et al.. (2011). Computationally efficient classification of human transport mode using micro-doppler signatures. 1–4. 9 indexed citations

17.

Garreau, Guillaume, et al.. (2011). Gait-based person and gender recognition using micro-doppler signatures. 444–447. 24 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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