Gwendal Lecerf

1.3k total citations · 1 hit paper
6 papers, 950 citations indexed

About

Gwendal Lecerf is a scholar working on Surgery, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Gwendal Lecerf has authored 6 papers receiving a total of 950 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Gwendal Lecerf's work include Orthopaedic implants and arthroplasty (3 papers), Total Knee Arthroplasty Outcomes (3 papers) and Advanced Memory and Neural Computing (3 papers). Gwendal Lecerf is often cited by papers focused on Orthopaedic implants and arthroplasty (3 papers), Total Knee Arthroplasty Outcomes (3 papers) and Advanced Memory and Neural Computing (3 papers). Gwendal Lecerf collaborates with scholars based in France, Switzerland and Germany. Gwendal Lecerf's co-authors include Jean Tomas, Sylvain Saïghi, Sören Boyn, Julie Grollier, Stéphanie Girod, S. Fusil, Stéphane Xavier, Vincent Garcia, A. Barthélémy and K. Garcia and has published in prestigious journals such as Nature Communications, Frontiers in Neuroscience and Orthopaedics & Traumatology Surgery & Research.

In The Last Decade

Gwendal Lecerf

5 papers receiving 932 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Learning through ferroelectric domain dynamics in solid-state synapses

2017 476 citations Sören Boyn, Julie Grollier et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gwendal Lecerf France	4	608	281	249	162	122	6	950
Shaochuan Chen China	12	794 1.3×	10 0.0×	273 1.1×	241 1.5×	58 0.5×	28	879
Eunsuk Choi South Korea	11	390 0.6×	9 0.0×	66 0.3×	115 0.7×	75 0.6×	47	566
Maximilian Lederer Germany	24	1.7k 2.8×	40 0.1×	36 0.1×	915 5.6×	9 0.1×	111	1.8k
Tarek Ali Germany	23	1.9k 3.1×	29 0.1×	44 0.2×	1.0k 6.4×	11 0.1×	75	2.0k
Andrea Firrincieli Belgium	13	444 0.7×	25 0.1×	124 0.5×	53 0.3×	44 0.4×	37	624
P. Polakowski Germany	22	3.4k 5.5×	39 0.1×	62 0.2×	2.1k 13.0×	15 0.1×	32	3.4k
Makoto Takayanagi Japan	10	216 0.4×	12 0.0×	24 0.1×	85 0.5×	44 0.4×	40	314
Dietmar Schroeder Germany	13	427 0.7×	8 0.0×	173 0.7×	50 0.3×	83 0.7×	69	591
Jianchi Zhang China	7	1.0k 1.7×	6 0.0×	89 0.4×	409 2.5×	20 0.2×	15	1.1k

Countries citing papers authored by Gwendal Lecerf

Since Specialization

Citations

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

Fields of papers citing papers by Gwendal Lecerf

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gwendal Lecerf

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

All Works

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6 of 6 papers shown

1.

Boyn, Sören, Julie Grollier, Gwendal Lecerf, et al.. (2017). Learning through ferroelectric domain dynamics in solid-state synapses. Nature Communications. 8(1). 14736–14736. 476 indexed citations breakdown →

2.

Saïghi, Sylvain, Christian Mayr, Teresa Serrano‐Gotarredona, et al.. (2015). Plasticity in memristive devices for spiking neural networks. Frontiers in Neuroscience. 9. 51–51. 174 indexed citations

3.

Lecerf, Gwendal, Jean Tomas, Sören Boyn, et al.. (2014). Silicon neuron dedicated to memristive spiking neural networks. HAL (Le Centre pour la Communication Scientifique Directe). 1568–1571. 17 indexed citations

4.

Lecerf, Gwendal, M.-H. Fessy, R. Philippot, et al.. (2009). Femoral offset: Anatomical concept, definition, assessment, implications for preoperative templating and hip arthroplasty. Orthopaedics & Traumatology Surgery & Research. 95(3). 210–219. 282 indexed citations

5.

Lecerf, Gwendal, M.-H. Fessy, R. Philippot, et al.. (2009). Le déport fémoral (offset) : concept anatomique, définitions, mesure, rôle dans la planification et la réalisation d’une arthroplastie de hanche. Revue de Chirurgie Orthopédique et Traumatologique. 95(3). 248–257. 1 indexed citations

6.

Lecerf, Gwendal. (2006). Résultats des ostéotomies tibiales de valgisation calculées selon la méthode de l’écart varisant avec plus de 10 ans de recul. Revue de Chirurgie Orthopédique et Réparatrice de l Appareil Moteur. 92(4). 112–112.

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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