Régis Guinvarc’h

665 total citations
53 papers, 386 citations indexed

About

Régis Guinvarc’h is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Ocean Engineering. According to data from OpenAlex, Régis Guinvarc’h has authored 53 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Aerospace Engineering, 22 papers in Electrical and Electronic Engineering and 11 papers in Ocean Engineering. Recurrent topics in Régis Guinvarc’h's work include Antenna Design and Analysis (21 papers), Antenna Design and Optimization (19 papers) and Microwave Engineering and Waveguides (16 papers). Régis Guinvarc’h is often cited by papers focused on Antenna Design and Analysis (21 papers), Antenna Design and Optimization (19 papers) and Microwave Engineering and Waveguides (16 papers). Régis Guinvarc’h collaborates with scholars based in France, Singapore and United States. Régis Guinvarc’h's co-authors include Bernard Uguen, Marc Lesturgie, Raphaël Gillard, Randy L. Haupt, Mohammed Serhir, Koen Mouthaan, Xinyi Tang, Élise Colin, John Khoury and Marc Hélier and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Régis Guinvarc’h

49 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Régis Guinvarc’h France 10 330 168 50 29 29 53 386
Stéphane Méric France 9 192 0.6× 47 0.3× 26 0.5× 12 0.4× 39 1.3× 37 248
Gabriel Lellouch South Africa 11 282 0.9× 142 0.8× 37 0.7× 58 2.0× 24 0.8× 17 356
Oleg Iupikov Sweden 12 334 1.0× 253 1.5× 23 0.5× 24 0.8× 29 1.0× 48 439
Chen Pang China 11 249 0.8× 60 0.4× 29 0.6× 22 0.8× 21 0.7× 37 287
M. Cherniakov United Kingdom 9 251 0.8× 79 0.5× 27 0.5× 23 0.8× 17 0.6× 32 357
Marta Bucciarelli Italy 12 570 1.7× 58 0.3× 88 1.8× 21 0.7× 54 1.9× 40 607
Galina Babur Netherlands 10 305 0.9× 62 0.4× 35 0.7× 64 2.2× 9 0.3× 26 321
Federica Pieralice Italy 9 368 1.1× 52 0.3× 75 1.5× 9 0.3× 36 1.2× 16 412
Zhangfan Zeng China 9 255 0.8× 40 0.2× 27 0.5× 7 0.2× 61 2.1× 25 341
Zhiwei Chen China 7 205 0.6× 160 1.0× 41 0.8× 5 0.2× 29 1.0× 22 340

Countries citing papers authored by Régis Guinvarc’h

Since Specialization
Citations

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

Fields of papers citing papers by Régis Guinvarc’h

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Régis Guinvarc’h. 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 Régis Guinvarc’h. The network helps show where Régis Guinvarc’h may publish in the future.

Co-authorship network of co-authors of Régis Guinvarc’h

This figure shows the co-authorship network connecting the top 25 collaborators of Régis Guinvarc’h. A scholar is included among the top collaborators of Régis Guinvarc’h 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 Régis Guinvarc’h. Régis Guinvarc’h 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.
Guinvarc’h, Régis, et al.. (2024). Convolutional Autoencoder Applied to Short SAR Time Series for Under Canopy Object Detection. SPIRE - Sciences Po Institutional REpository. 2785–2788.
2.
Guinvarc’h, Régis, et al.. (2023). Grad-SLAM: Explaining Convolutional Autoencoders’ Latent Space of Satellite Image Time Series. IEEE Geoscience and Remote Sensing Letters. 20. 1–5. 2 indexed citations
3.
Guinvarc’h, Régis, et al.. (2023). Retrieving Complex Permittivities From Remote Dual Co-Pol Radar Measurements. IEEE Transactions on Antennas and Propagation. 72(1). 812–824.
4.
Saux, Bertrand Le, et al.. (2023). Detection of Forest Fires through Deep Unsupervised Learning Modeling of Sentinel-1 Time Series. ISPRS International Journal of Geo-Information. 12(8). 332–332. 7 indexed citations
5.
Dupuis, Xavier, et al.. (2023). Simplified Scheme to Separately Retrieve Permittivities of Surfaces of a Dihedral Structure Using Radar Polarimetry. SPIRE - Sciences Po Institutional REpository. 5665–5667.
6.
Guinvarc’h, Régis, et al.. (2022). Modelling of agricultural SAR Time Series using Convolutional Autoencoder for the extraction of harvesting practices of rice fields. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
7.
Guinvarc’h, Régis, et al.. (2022). FARMSAR: Fixing AgRicultural Mislabels Using Sentinel-1 Time Series and AutoencodeRs. Remote Sensing. 15(1). 35–35. 5 indexed citations
8.
Russo, Paola, et al.. (2022). A Numerically Efficient Method for Predicting the Scattering Characteristics of Complex Moving Targets. IEEE Transactions on Antennas and Propagation. 71(1). 910–920. 1 indexed citations
9.
Guinvarc’h, Régis, et al.. (2021). Beets or Cotton? Blind Extraction of Fine Agricultural Classes Using a Convolutional Autoencoder Applied to Temporal SAR Signatures. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–18. 9 indexed citations
10.
Guinvarc’h, Régis, et al.. (2020). Detecting Ephemeral Objects in SAR Time-Series Using Frozen Background-Based Change Detection. Remote Sensing. 12(11). 1720–1720. 4 indexed citations
11.
Guinvarc’h, Régis, et al.. (2019). L-band Polarimetric Change Detection on Sar Images : Fire Burn Scars in California. HAL (Le Centre pour la Communication Scientifique Directe). 0. 9956–9959. 1 indexed citations
12.
Guinvarc’h, Régis, et al.. (2018). The double Brewster angle effect. Comptes Rendus Physique. 19(1-2). 43–53. 15 indexed citations
13.
Guinvarc’h, Régis, et al.. (2018). Moisture Retrieval Using Monostatic Radar Double Bounce. HAL (Le Centre pour la Communication Scientifique Directe). 9098–9101. 1 indexed citations
14.
Guinvarc’h, Régis, et al.. (2017). Cross-Polarization Amplitudes of Obliquely Orientated Buildings With Application to Urban Areas. IEEE Geoscience and Remote Sensing Letters. 14(11). 1913–1917. 17 indexed citations
15.
Guinvarc’h, Régis, et al.. (2014). Dual function radar communication Time-modulated array. HAL (Le Centre pour la Communication Scientifique Directe). 1–4. 128 indexed citations
16.
Guinvarc’h, Régis, et al.. (2013). Time-modulated array for radar applications. HAL (Le Centre pour la Communication Scientifique Directe). 138–139. 4 indexed citations
17.
Tang, Xinyi, et al.. (2013). Two-octave digital all-pass phase shifters for phased array applications. National University of Singapore. 169–171. 5 indexed citations
18.
Guinvarc’h, Régis, et al.. (2009). Coplanar feeding solution for spiral antenna. HAL (Le Centre pour la Communication Scientifique Directe). 4. 1–4. 2 indexed citations
19.
Guinvarc’h, Régis, et al.. (2008). Design of a spiral antenna with coplanar feeding solution. 1–4. 5 indexed citations
20.
Guinvarc’h, Régis, et al.. (2008). A wideband antenna for P-band airborne SAR applications. 1–4. 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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