Jérôme Leclère

454 total citations
29 papers, 338 citations indexed

About

Jérôme Leclère is a scholar working on Aerospace Engineering, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, Jérôme Leclère has authored 29 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Aerospace Engineering, 10 papers in Astronomy and Astrophysics and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Jérôme Leclère's work include GNSS positioning and interference (21 papers), Radio Astronomy Observations and Technology (9 papers) and Numerical Methods and Algorithms (7 papers). Jérôme Leclère is often cited by papers focused on GNSS positioning and interference (21 papers), Radio Astronomy Observations and Technology (9 papers) and Numerical Methods and Algorithms (7 papers). Jérôme Leclère collaborates with scholars based in Switzerland, Canada and France. Jérôme Leclère's co-authors include Cyril Botteron, Pierre-André Farine, René Landry, Vincenzo Capuano, Yanguang Wang, Francesco Basile, Steven Weijs, Paul Blunt, Jan Škaloud and Mohammed Benjelloun and has published in prestigious journals such as Sensors, Remote Sensing and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Jérôme Leclère

26 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jérôme Leclère Switzerland 12 272 99 89 54 51 29 338
Nesreen I. Ziedan Egypt 11 347 1.3× 161 1.6× 33 0.4× 35 0.6× 49 1.0× 35 396
Paolo Mulassano Italy 12 373 1.4× 211 2.1× 75 0.8× 46 0.9× 158 3.1× 69 474
D.J.R. van Nee Netherlands 5 358 1.3× 192 1.9× 56 0.6× 54 1.0× 102 2.0× 9 437
Fernando D. Nunes Portugal 13 428 1.6× 273 2.8× 113 1.3× 72 1.3× 142 2.8× 87 589
D.C. Jenn United States 13 318 1.2× 170 1.7× 15 0.2× 19 0.4× 22 0.4× 51 488
Guangfu Sun China 10 246 0.9× 84 0.8× 60 0.7× 82 1.5× 37 0.7× 53 311
Junqiang Han China 12 267 1.0× 45 0.5× 108 1.2× 151 2.8× 10 0.2× 50 475
Shengyue Ji China 17 574 2.1× 150 1.5× 283 3.2× 333 6.2× 29 0.6× 52 701
A. Hornbostel Germany 11 319 1.2× 145 1.5× 82 0.9× 54 1.0× 53 1.0× 71 410
Rigas T. Ioannides Netherlands 10 419 1.5× 200 2.0× 73 0.8× 89 1.6× 97 1.9× 28 548

Countries citing papers authored by Jérôme Leclère

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Leclère

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jérôme Leclère

This figure shows the co-authorship network connecting the top 25 collaborators of Jérôme Leclère. A scholar is included among the top collaborators of Jérôme Leclère 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 Jérôme Leclère. Jérôme Leclère 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.
Leclère, Jérôme & René Landry. (2019). Galileo E5 Signal Acquisition using Intermediate Coherent Integration Time. Journal of Navigation. 72(3). 555–574. 3 indexed citations
2.
McGlone, John J., et al.. (2018). Accelerating Key In-memory Database Functionality with FPGA Technology. 1–8. 5 indexed citations
3.
Leclère, Jérôme, René Landry, & Cyril Botteron. (2018). Comparison of L1 and L5 Bands GNSS Signals Acquisition. Sensors. 18(9). 2779–2779. 19 indexed citations
4.
Leclère, Jérôme & René Landry. (2018). Combining secondary code correlations for fast GNSS signal acquisition. 46–55. 7 indexed citations
5.
Leclère, Jérôme, et al.. (2017). Efficient GNSS secondary code correlations for high sensitivity acquisition. Espace ÉTS (ETS). 4 indexed citations
6.
Leclère, Jérôme, Cyril Botteron, & Pierre-André Farine. (2017). High sensitivity acquisition of GNSS signals with secondary code on FPGAs. IEEE Aerospace and Electronic Systems Magazine. 32(8). 46–63. 15 indexed citations
7.
Leclère, Jérôme, et al.. (2016). Study on the cross-correlation of GNSS signals and typical approximations. GPS Solutions. 21(2). 293–306. 15 indexed citations
8.
Capuano, Vincenzo, et al.. (2015). Feasibility study of GNSS as navigation system to reach the Moon. Acta Astronautica. 116. 186–201. 43 indexed citations
9.
Leclère, Jérôme, Cyril Botteron, & Pierre-André Farine. (2015). Implementing super-efficient FFTs in Altera FPGAs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 indexed citations
10.
Wang, Yanguang, et al.. (2014). An Efficient Time-Frequency Algorithm for Weak Signal Acquisition of Modernized GNSS Signals. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2767–2775. 1 indexed citations
11.
Botteron, Cyril, et al.. (2014). Normalized GNSS Interference Pattern Technique for Altimetry. Sensors. 14(6). 10234–10257. 17 indexed citations
12.
Wang, Yanguang, et al.. (2014). Cross-band aided acquisition on HEO orbit. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 3 indexed citations
13.
Leclère, Jérôme, Cyril Botteron, & Pierre-André Farine. (2013). Comparison Framework of FPGA-Based GNSS Signals Acquisition Architectures. IEEE Transactions on Aerospace and Electronic Systems. 49(3). 1497–1518. 33 indexed citations
14.
Leclère, Jérôme, et al.. (2013). A New Movement Recognition Technique for Flight Mode Detection. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 2013. 1–18. 3 indexed citations
15.
Leclère, Jérôme, Cyril Botteron, & Pierre-André Farine. (2013). Modified parallel code-phase search for acquisition in presence of sign transition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–6. 15 indexed citations
16.
Leclère, Jérôme, Cyril Botteron, & Pierre-André Farine. (2013). Acquisition of modern GNSS signals using a modified parallel code-phase search architecture. Signal Processing. 95. 177–191. 38 indexed citations
17.
Leclère, Jérôme, Cyril Botteron, & Pierre-André Farine. (2012). Improving the Performance of the FFT-based Parallel Code-phase Search Acquisition of GNSS Signals by Decomposition of the Circular Correlation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1406–1416. 8 indexed citations
18.
Leclère, Jérôme, et al.. (2011). A New FFT-Based Algorithm for Secondary Code Acquisition for Galileo Signals. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–6. 10 indexed citations
19.
Botteron, Cyril, et al.. (2011). Demands of the Road An Assisted-GNSS Solution Uses the EGNOS Data Access Service. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 28–35. 3 indexed citations
20.
Botteron, Cyril, et al.. (2010). An Assisted-GNSS Solution for Demanding Road Applications using the EGNOS Data Access System (EDAS). Infoscience (Ecole Polytechnique Fédérale de Lausanne). 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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