François Rivet

515 total citations
43 papers, 244 citations indexed

About

François Rivet is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, François Rivet has authored 43 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Electrical and Electronic Engineering, 18 papers in Biomedical Engineering and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in François Rivet's work include Radio Frequency Integrated Circuit Design (20 papers), Advancements in PLL and VCO Technologies (13 papers) and Analog and Mixed-Signal Circuit Design (11 papers). François Rivet is often cited by papers focused on Radio Frequency Integrated Circuit Design (20 papers), Advancements in PLL and VCO Technologies (13 papers) and Analog and Mixed-Signal Circuit Design (11 papers). François Rivet collaborates with scholars based in France, Australia and Tunisia. François Rivet's co-authors include Yann Deval, Dominique Dallet, Didier Belot, Guillaume Ferré, Christophe Jégo, Chiheb Rebai, Philippe Cathelin, H. Lapuyade, Mehmet Rasit Yuce and Jean‐Michel Redouté and has published in prestigious journals such as IEEE Access, IEEE Transactions on Communications and IEEE Journal of Solid-State Circuits.

In The Last Decade

François Rivet

36 papers receiving 231 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
François Rivet France 11 143 98 32 26 26 43 244
S. Palanivel Rajan India 9 92 0.6× 54 0.6× 23 0.7× 45 1.7× 10 0.4× 29 227
P. Trinatha Rao India 9 113 0.8× 25 0.3× 26 0.8× 121 4.7× 21 0.8× 28 230
Chiheb Rebai Tunisia 10 166 1.2× 107 1.1× 34 1.1× 38 1.5× 28 1.1× 58 249
A. Rajeswari India 7 115 0.8× 40 0.4× 29 0.9× 88 3.4× 13 0.5× 44 244
Raghavendra Deshmukh India 10 171 1.2× 114 1.2× 6 0.2× 48 1.8× 9 0.3× 34 280
Yadong Li China 8 105 0.7× 76 0.8× 12 0.4× 27 1.0× 34 1.3× 19 229
Muh‐Tian Shiue Taiwan 11 305 2.1× 145 1.5× 8 0.3× 62 2.4× 53 2.0× 68 368
Joachim Rodrigues Sweden 13 520 3.6× 118 1.2× 30 0.9× 172 6.6× 31 1.2× 54 603
Cinna Soltanpur United States 8 117 0.8× 195 2.0× 26 0.8× 165 6.3× 8 0.3× 11 330

Countries citing papers authored by François Rivet

Since Specialization
Citations

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

Fields of papers citing papers by François Rivet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Rivet

This figure shows the co-authorship network connecting the top 25 collaborators of François Rivet. A scholar is included among the top collaborators of François Rivet 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 François Rivet. François Rivet 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.
Strinati, Emilio Calvanese, George C. Alexandropoulos, Sami Mekki, et al.. (2025). Toward Distributed and Intelligent Integrated Sensing and Communications for 6G Networks. IEEE Wireless Communications. 32(1). 60–67. 10 indexed citations
2.
Strinati, Emilio Calvanese, George C. Alexandropoulos, Philippe Sehier, et al.. (2024). Distributed Intelligent Integrated Sensing and Communications: The 6G-DISAC Approach. Chalmers Research (Chalmers University of Technology). 392–397. 12 indexed citations
3.
Deltimple, Nathalie, et al.. (2024). Walsh-domain Neural Network for Power Amplifier Behavioral Modelling and Digital Predistortion. Lirias (KU Leuven). 1–5. 1 indexed citations
4.
Matos, Magali De, et al.. (2024). A 0.65-1.5GHz Wideband Power Amplifier With Second Harmonic Control Proof-of-Concept for 5G Applications. SPIRE - Sciences Po Institutional REpository. 1–4.
5.
Lapuyade, H., et al.. (2023). A Proof-of-Concept of a Multiple-Cell Upsets Detection Method for SRAMs in Space Applications. IEEE Transactions on Circuits and Systems I Regular Papers. 70(12). 4877–4887.
6.
Rivet, François, et al.. (2023). D-Band CMOS Power Amplifiers: Challenges, State-of-the-Art, Technological Limitations and Trends. Journal of Integrated Circuits and Systems. 18(3). 1–10.
7.
Lapuyade, H., et al.. (2023). A Wide-Band High-Speed Sample and Hold in 0.35µm CMOS Technology. 1–4. 1 indexed citations
8.
Lapuyade, H., et al.. (2023). A MCU-robust Interleaved Data/Detection SRAM for Space Environments. 1. 1–6. 1 indexed citations
9.
Rivet, François, et al.. (2023). A Low-Cost Bench for Training Students in Power Amplifier and Digital Predistortion. Zenodo (CERN European Organization for Nuclear Research). 1–6. 1 indexed citations
10.
Rivet, François, et al.. (2023). A Walsh-Based Arbitrary Waveform Generator for 5G Applications in 28nm FD-SOI CMOS Technology. IEEE Access. 11. 117434–117442. 1 indexed citations
11.
Deval, Yann, et al.. (2022). A 40 GHz Varactor-less Class-C VCO with 17.1% Tuning Range and Long-Term Reliability in 28nm FD-SOI for Satellite Communications. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 1 indexed citations
12.
Jégo, Christophe, et al.. (2021). How to Feed a Growing Population—An IoT Approach to Crop Health and Growth. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11(3). 435–448. 11 indexed citations
13.
Rivet, François, et al.. (2020). On the wavelet-based compressibility of continuous-time sampled ECG signal for e-health applications. Measurement. 164. 108031–108031. 13 indexed citations
14.
Rebai, Chiheb, et al.. (2020). Event-Driven ECG Sensor in Healthcare Devices for Data Transfer Optimization. Arabian Journal for Science and Engineering. 45(8). 6361–6387. 16 indexed citations
15.
Seyedi, MirHojjat, et al.. (2017). Characterization of Impulse Radio Intrabody Communication System for Wireless Body Area Networks. Journal of Medical and Biological Engineering. 37(1). 74–84. 6 indexed citations
16.
Qaisar, Saeed Mian, et al.. (2017). Time-domain characterization of a wireless ECG system event driven A/D converter. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 9 indexed citations
17.
Rivet, François, et al.. (2016). A 180 nm CMOS analog adaptive sampler for blood pressure feature extraction. PubMed. 199. 4841–4844. 1 indexed citations
18.
Rivet, François, et al.. (2015). A 65-nm CMOS DAC Based on a Differentiating Arbitrary Waveform Generator Architecture for 5G Handset Transmitter. IEEE Transactions on Circuits & Systems II Express Briefs. 63(1). 104–108. 14 indexed citations
19.
20.
Rivet, François, Yann Deval, Jean-Baptiste Bégueret, et al.. (2010). The Experimental Demonstration of a SASP-Based Full Software Radio Receiver. IEEE Journal of Solid-State Circuits. 45(5). 979–988. 26 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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