Aziliz Lecomte

651 total citations
17 papers, 446 citations indexed

About

Aziliz Lecomte is a scholar working on Cellular and Molecular Neuroscience, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Aziliz Lecomte has authored 17 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Electrical and Electronic Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Aziliz Lecomte's work include Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (8 papers) and Neural dynamics and brain function (3 papers). Aziliz Lecomte is often cited by papers focused on Neuroscience and Neural Engineering (12 papers), Advanced Memory and Neural Computing (8 papers) and Neural dynamics and brain function (3 papers). Aziliz Lecomte collaborates with scholars based in Italy, France and Germany. Aziliz Lecomte's co-authors include Émeline Descamps, Christian Bergaud, Luca Berdondini, Gian Nicola Angotzi, Fabio Boi, Antonino Casile, Ermanno Miele, Mario Malerba, Lionel Dahan and Stefano Zucca and has published in prestigious journals such as Biosensors and Bioelectronics, Sensors and Actuators B Chemical and Advanced Science.

In The Last Decade

Aziliz Lecomte

17 papers receiving 436 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aziliz Lecomte Italy 8 376 187 182 162 80 17 446
Hank Bink United States 5 331 0.9× 185 1.0× 197 1.1× 206 1.3× 107 1.3× 8 531
Subramaniam Venkatraman United States 9 296 0.8× 155 0.8× 127 0.7× 146 0.9× 168 2.1× 14 435
Hongming Lyu China 12 313 0.8× 107 0.6× 329 1.8× 253 1.6× 75 0.9× 35 603
Hanlin Zhu United States 10 339 0.9× 247 1.3× 125 0.7× 142 0.9× 57 0.7× 18 474
Halvor Juul United States 5 306 0.8× 115 0.6× 190 1.0× 201 1.2× 105 1.3× 7 510
Gian Nicola Angotzi Italy 15 540 1.4× 329 1.8× 317 1.7× 229 1.4× 119 1.5× 43 674
Arno Aarts Belgium 15 532 1.4× 397 2.1× 301 1.7× 143 0.9× 34 0.4× 32 631
Zhejun Guo China 13 326 0.9× 181 1.0× 156 0.9× 177 1.1× 93 1.2× 31 461
Joseph Novello United States 10 268 0.7× 111 0.6× 106 0.6× 179 1.1× 70 0.9× 19 368

Countries citing papers authored by Aziliz Lecomte

Since Specialization
Citations

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

Fields of papers citing papers by Aziliz Lecomte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aziliz Lecomte

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

All Works

17 of 17 papers shown
1.
Angotzi, Gian Nicola, Mihály Vöröslakos, J. F. Ribeiro, et al.. (2025). Multi‐Shank 1024 Channels Active SiNAPS Probe for Large Multi‐Regional Topographical Electrophysiological Mapping of Neural Dynamics. Advanced Science. 12(16). e2416239–e2416239. 5 indexed citations
2.
Ribeiro, J. F., Fabio Boi, Aziliz Lecomte, Gian Nicola Angotzi, & Luca Berdondini. (2021). Bioelectrodes for high-channel count and small form factor CMOS neural probes. 388–391. 9 indexed citations
3.
Wang, Xuechun, Huijing Xu, Aziliz Lecomte, et al.. (2020). A Parylene Neural Probe Array for Multi-Region Deep Brain Recordings. Journal of Microelectromechanical Systems. 29(4). 499–513. 51 indexed citations
4.
Lecomte, Aziliz, et al.. (2020). Surface‐Functionalized Self‐Standing Microdevices Exhibit Predictive Localization and Seamless Integration in 3D Neural Spheroids. Advanced Biosystems. 4(11). e2000114–e2000114. 8 indexed citations
5.
Angotzi, Gian Nicola, Marco Crepaldi, Aziliz Lecomte, & Luca Berdondini. (2019). $\mu \text{Radio}$: First Characterization Results Towards a $100\ \mu\mathrm{m}\times 100\ \mu \mathrm{m}$ Monolithic Radio with Bio-Electrical Interface. 895–898. 2 indexed citations
6.
Amin, Hayder, et al.. (2019). Active High-Density Electrode Arrays: Technology and Applications in Neuronal Cell Cultures. Advances in neurobiology. 22. 253–273. 5 indexed citations
7.
Angotzi, Gian Nicola, Fabio Boi, Aziliz Lecomte, et al.. (2018). SiNAPS: An implantable active pixel sensor CMOS-probe for simultaneous large-scale neural recordings. Biosensors and Bioelectronics. 126. 355–364. 117 indexed citations
8.
Angotzi, Gian Nicola, Fabio Boi, Ermanno Miele, Aziliz Lecomte, & Luca Berdondini. (2018). A versatile technology approach for high-resolution implantable CMOS-probes. Frontiers in Cellular Neuroscience. 12. 1 indexed citations
9.
Angotzi, Gian Nicola, et al.. (2018). A µRadio CMOS Device for Real-Time In-Tissue Monitoring of Human Organoids. 1–4. 2 indexed citations
10.
Lecomte, Aziliz, Émeline Descamps, & Christian Bergaud. (2017). A review on mechanical considerations for chronically-implanted neural probes. Journal of Neural Engineering. 15(3). 31001–31001. 148 indexed citations
11.
Lecomte, Aziliz, Aurélie Lecestre, David Bourrier, et al.. (2017). Deep plasma etching of Parylene C patterns for biomedical applications. Microelectronic Engineering. 177. 70–73. 12 indexed citations
12.
Lecomte, Aziliz, et al.. (2017). In vitro and in vivo biostability assessment of chronically-implanted Parylene C neural sensors. Sensors and Actuators B Chemical. 251. 1001–1008. 67 indexed citations
13.
Lecomte, Aziliz, et al.. (2016). Biostability Assessment of Flexible Parylene C-based Implantable Sensor in Wireless Chronic Neural Recording. Procedia Engineering. 168. 189–192. 8 indexed citations
14.
Lecomte, Aziliz, et al.. (2002). Adaptive MIMO techniques for the UTRA-TDD mode. 1. 108–112. 5 indexed citations
15.
Niel, M., et al.. (1982). Calibration of a gamma ray astronomy telescope in the 5–50 MeV energy range. Nuclear Instruments and Methods in Physics Research. 199(3). 585–596. 3 indexed citations
16.
Bouère, A., et al.. (1981). <title>Description And Preliminary Performance Of A Charge-Coupled Device (CCD) Camera</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 290. 142–143. 1 indexed citations
17.
Lecomte, Aziliz, et al.. (1978). A 1 m2 gamma ray spark chamber telescope for the energy range 10–100 MeV. Nuclear Instruments and Methods. 148(3). 483–488. 2 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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