Jean Liénard

1.1k total citations
40 papers, 666 citations indexed

About

Jean Liénard is a scholar working on Computer Vision and Pattern Recognition, Nature and Landscape Conservation and Artificial Intelligence. According to data from OpenAlex, Jean Liénard has authored 40 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Nature and Landscape Conservation and 6 papers in Artificial Intelligence. Recurrent topics in Jean Liénard's work include Ecology and Vegetation Dynamics Studies (6 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Advanced Vision and Imaging (5 papers). Jean Liénard is often cited by papers focused on Ecology and Vegetation Dynamics Studies (6 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Advanced Vision and Imaging (5 papers). Jean Liénard collaborates with scholars based in France, United States and Japan. Jean Liénard's co-authors include Nikolay Strigul, Demetrios Gatziolis, Stephen V. David, Titipat Achakulvisut, Daniel E. Acuña, Ionuţ Florescu, Benoît Girard, Dominique Gravel, Michel Brazier and J Guéris and has published in prestigious journals such as Nature Communications, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Jean Liénard

39 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Liénard France 15 141 129 118 91 68 40 666
Luis J. Villanueva-Rivera United States 14 48 0.3× 1.0k 8.1× 195 1.7× 42 0.5× 65 1.0× 35 2.0k
Geoffrey Edwards Canada 18 92 0.7× 157 1.2× 94 0.8× 199 2.2× 33 0.5× 69 972
Jürgen Symanzik United States 14 155 1.1× 148 1.1× 227 1.9× 177 1.9× 40 0.6× 54 1.1k
Tatiana Benaglia Brazil 10 69 0.5× 159 1.2× 117 1.0× 28 0.3× 33 0.5× 13 1.3k
Sarah Harris United States 18 58 0.4× 254 2.0× 503 4.3× 117 1.3× 16 0.2× 60 961
Vincent Mièle United States 26 115 0.8× 215 1.7× 59 0.5× 11 0.1× 41 0.6× 65 2.0k
David A. James United States 10 70 0.5× 99 0.8× 65 0.6× 27 0.3× 24 0.4× 47 865
Peipei Xu China 17 73 0.5× 127 1.0× 335 2.8× 135 1.5× 25 0.4× 63 823
Pedro Real Spain 14 39 0.3× 85 0.7× 93 0.8× 41 0.5× 46 0.7× 75 603
Yufeng Li China 12 30 0.2× 125 1.0× 65 0.6× 9 0.1× 11 0.2× 43 568

Countries citing papers authored by Jean Liénard

Since Specialization
Citations

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

Fields of papers citing papers by Jean Liénard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Liénard

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Liénard. A scholar is included among the top collaborators of Jean Liénard 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 Jean Liénard. Jean Liénard 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.
2.
Liénard, Jean, et al.. (2022). Impact of gender on the formation and outcome of formal mentoring relationships in the life sciences. PLoS Biology. 20(9). e3001771–e3001771. 11 indexed citations
3.
Girard, Benoît, Jean Liénard, Carlos Enrique Gutierrez, Bruno Delord, & Kenji Doya. (2020). A biologically constrained spiking neural network model of the primate basal ganglia with overlapping pathways exhibits action selection. European Journal of Neuroscience. 53(7). 2254–2277. 15 indexed citations
4.
Gutierrez, Carlos Enrique, Henrik Skibbe, Ken Nakae, et al.. (2020). Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference. Scientific Reports. 10(1). 21285–21285. 14 indexed citations
5.
Liénard, Jean, Titipat Achakulvisut, Daniel E. Acuña, & Stephen V. David. (2018). Intellectual synthesis in mentorship determines success in academic careers. Nature Communications. 9(1). 4840–4840. 70 indexed citations
6.
Liénard, Jean & Nikolay Strigul. (2016). An individual-based forest model links canopy dynamics and shade tolerances along a soil moisture gradient. Royal Society Open Science. 3(2). 150589–150589. 13 indexed citations
7.
Liénard, Jean, Ionuţ Florescu, & Nikolay Strigul. (2015). An Appraisal of the Classic Forest Succession Paradigm with the Shade Tolerance Index. PLoS ONE. 10(2). e0117138–e0117138. 44 indexed citations
8.
Gatziolis, Demetrios, et al.. (2015). 3D Tree Dimensionality Assessment Using Photogrammetry and Small Unmanned Aerial Vehicles. PLoS ONE. 10(9). e0137765–e0137765. 74 indexed citations
9.
Liénard, Jean, et al.. (2015). The Essential Complexity of Auditory Receptive Fields. PLoS Computational Biology. 11(12). e1004628–e1004628. 31 indexed citations
10.
Liénard, Jean & Benoît Girard. (2013). A biologically constrained model of the whole basal ganglia addressing the paradoxes of connections and selection. Journal of Computational Neuroscience. 36(3). 445–468. 17 indexed citations
11.
Boyle, Andrew, Karl H. Schuleri, Jean Liénard, et al.. (2008). Quantitative Automated Assessment of Myocardial Perfusion at Cardiac Catheterization. The American Journal of Cardiology. 102(8). 980–987. 6 indexed citations
12.
Liénard, Jean, et al.. (2007). Speech fundamental frequency estimation using the alternate comb. SPIRE - Sciences Po Institutional REpository. 2773–2776. 4 indexed citations
13.
Liénard, Jean, et al.. (2005). Multiresolution Parametric Estimation of Transparent Motions and Denoising of Fluoroscopic Images. Lecture notes in computer science. 8(Pt 2). 352–360. 7 indexed citations
14.
Liénard, Jean, et al.. (2005). Diphone synthesis of French: Vocal response unit and automatic prosody from the text.. 2. 560–563. 2 indexed citations
15.
Eveillard, Matthieu, et al.. (2002). Prevalence of methicillin-resistant Staphylococcus aureus carriage at the time of admission in two acute geriatric wards. Journal of Hospital Infection. 50(2). 122–126. 31 indexed citations
16.
Liénard, Jean, et al.. (2002). The 6σ quality approach for quantitative arteriography performance improvement. International journal of cardiac imaging. 18(2). 77–92. 4 indexed citations
17.
Fardellone, Patrice, et al.. (1998). Biochemical effects of calcium supplementation in postmenopausal women: influence of dietary calcium intake. American Journal of Clinical Nutrition. 67(6). 1273–1278. 57 indexed citations
18.
Masquet, C, Michel Slama, Alain Dibié, Florence H. Sheehan, & Jean Liénard. (1998). Normal left ventricular volumes and ejection fraction: assessment with quantitative digital cardioangiography. International journal of cardiac imaging. 14(1). 27–36. 9 indexed citations
19.
Finet, Gérard & Jean Liénard. (1996). Parameters that influence accuracy and precision of quantitative coronary arteriography. International journal of cardiac imaging. 12(4). 271–287. 11 indexed citations
20.
Liénard, Jean. (1989). Real‐time distortionless high‐factor compression scheme. Medical Physics. 16(6). 845–850. 5 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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