Gilles Sicard

840 total citations
53 papers, 209 citations indexed

About

Gilles Sicard is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Gilles Sicard has authored 53 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Electrical and Electronic Engineering, 12 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Gilles Sicard's work include CCD and CMOS Imaging Sensors (18 papers), Advanced Memory and Neural Computing (9 papers) and Advanced MEMS and NEMS Technologies (6 papers). Gilles Sicard is often cited by papers focused on CCD and CMOS Imaging Sensors (18 papers), Advanced Memory and Neural Computing (9 papers) and Advanced MEMS and NEMS Technologies (6 papers). Gilles Sicard collaborates with scholars based in France, Belgium and Netherlands. Gilles Sicard's co-authors include Marc Renaudin, Laurent Fesquet, Adel Soudani, E. Allier, Laurent Jacques, M. Benwadih, Isabelle Chartier, Lucian Barbut, R. Gwoziecki and Christophe Serbutoviez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neural Networks and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Gilles Sicard

44 papers receiving 197 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gilles Sicard France 6 140 64 26 21 18 53 209
Yu Pan China 7 113 0.8× 29 0.5× 41 1.6× 11 0.5× 19 1.1× 40 210
Peter J. Kajenski United States 9 164 1.2× 59 0.9× 13 0.5× 13 0.6× 27 1.5× 22 304
S. Robinson United States 8 124 0.9× 34 0.5× 18 0.7× 15 0.7× 14 0.8× 15 220
Shuai Qu China 11 274 2.0× 65 1.0× 21 0.8× 7 0.3× 100 5.6× 36 350
Barthélémy Heyrman France 8 119 0.8× 34 0.5× 129 5.0× 10 0.5× 24 1.3× 19 259
Shengdong Hu China 11 197 1.4× 51 0.8× 22 0.8× 7 0.3× 8 0.4× 36 286
Menglin Wei China 6 202 1.4× 70 1.1× 39 1.5× 15 0.7× 37 2.1× 19 465
R.J. Pieper United States 9 190 1.4× 80 1.3× 46 1.8× 6 0.3× 117 6.5× 59 342

Countries citing papers authored by Gilles Sicard

Since Specialization
Citations

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

Fields of papers citing papers by Gilles Sicard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gilles Sicard

This figure shows the co-authorship network connecting the top 25 collaborators of Gilles Sicard. A scholar is included among the top collaborators of Gilles Sicard 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 Gilles Sicard. Gilles Sicard 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.
Sicard, Gilles, et al.. (2024). Hardware-Aware Bayesian Neural Architecture Search of Quantized CNNs. IEEE Embedded Systems Letters. 17(1). 42–45.
2.
Sicard, Gilles, et al.. (2024). Towards a configurable and non-hierarchical search space for NAS. Neural Networks. 180. 106700–106700. 1 indexed citations
3.
Sicard, Gilles, et al.. (2022). A 1Mb Mixed-Precision Quantized Encoder for Image Classification and Patch-Based Compression. IEEE Transactions on Circuits and Systems for Video Technology. 32(8). 5581–5594. 2 indexed citations
4.
Sicard, Gilles, et al.. (2021). A hybrid event-based pixel for low-power image sensing. SPIRE - Sciences Po Institutional REpository. 1–6.
5.
Sicard, Gilles, et al.. (2020). A Novel Event Based Image Sensor with spacial and temporal redundancy suppression. SPIRE - Sciences Po Institutional REpository. 48. 238–241. 2 indexed citations
6.
Jacques, Laurent, et al.. (2019). Exploring Hierarchical Machine Learning for Hardware-Limited Multi-Class Inference on Compressed Measurements. SPIRE - Sciences Po Institutional REpository. 1–5. 5 indexed citations
7.
Morche, Dominique, et al.. (2019). Smart imagers modeling and optimization framework for embedded AI applications. SPIRE - Sciences Po Institutional REpository. 245–248. 1 indexed citations
8.
Vivet, Pascal, Gilles Sicard, Alexandre Valentian, et al.. (2019). Advanced 3D Technologies and Architectures for 3D Smart Image Sensors. SPIRE - Sciences Po Institutional REpository. 674–679. 5 indexed citations
9.
Arquès, M., et al.. (2018). Characterization of Sphinx1 ASIC X-ray detector using photon counting and charge integration. Journal of Instrumentation. 13(1). P01024–P01024. 1 indexed citations
10.
Dupret, Antoine, et al.. (2018). A near pixel Depth from Focus architecture for video rate depth estimation. Electronic Imaging. 30(11). 447–1. 1 indexed citations
11.
Simoens, François, et al.. (2017). Uncooled Terahertz real-time imaging 2D arrays developed at LETI: present status and perspectives. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10 indexed citations
12.
Sansa, Marc, et al.. (2016). Compact heterodyne NEMS oscillator for sensing applications. Solid-State Electronics. 125. 214–219. 4 indexed citations
13.
Sansa, Marc, et al.. (2015). Compact heterodyne NEMS oscillator for sensing applications. 146–148. 2 indexed citations
14.
Arquès, M., et al.. (2015). Sphinx1: Spectrometric Photon Counting and Integration Pixel for X-Ray Imaging With a 100 Electron LSB. IEEE Transactions on Nuclear Science. 62(3). 704–709. 1 indexed citations
15.
Rossetto, O., et al.. (2015). High dynamic range readout architecture for SPAD array. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 4 indexed citations
16.
Soudani, Adel, et al.. (2013). Contribution to the design of a CMOS image sensor with low-complexity video compression for wireless sensor networks. Journal of Systems Architecture. 59(10). 818–825. 5 indexed citations
17.
Sicard, Gilles, et al.. (2012). New smart readout technique performing edge detection designed to control vision sensors dataflow. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8298. 82980N–82980N. 1 indexed citations
18.
Leuken, René van & Gilles Sicard. (2010). Proceedings of the 20th international conference on Integrated circuit and system design: power and timing modeling, optimization and simulation. 1 indexed citations
19.
Bastos, Rodrigo Possamai, et al.. (2010). Asynchronous circuits as alternative for mitigation of long-duration transient faults in deep-submicron technologies. Microelectronics Reliability. 50(9-11). 1241–1246. 3 indexed citations
20.
Guichard, Nathalie & Gilles Sicard. (1972). Using a powerful computer for acquiring and processing chromatographic and other analytical data. Chromatographia. 5(2-3). 83–95. 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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