Olivier Léonard

81 total papers · 746 total citations
48 papers, 586 citations indexed

About

Olivier Léonard is a scholar working on Control and Systems Engineering, Aerospace Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Olivier Léonard has authored 48 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Control and Systems Engineering, 15 papers in Aerospace Engineering and 13 papers in Statistics, Probability and Uncertainty. Recurrent topics in Olivier Léonard's work include Turbomachinery Performance and Optimization (13 papers), Computational Fluid Dynamics and Aerodynamics (11 papers) and Advanced Sensor Technologies Research (11 papers). Olivier Léonard is often cited by papers focused on Turbomachinery Performance and Optimization (13 papers), Computational Fluid Dynamics and Aerodynamics (11 papers) and Advanced Sensor Technologies Research (11 papers). Olivier Léonard collaborates with scholars based in Belgium, China and United States. Olivier Léonard's co-authors include S. Borguet, Pierre Dewallef, Florin Capitanescu, Louis Wehenkel, Xiaodong Zhang, Donald L. Simon, René Van den Braembussche, K. Mathioudakis, R. A. Van den Braembussche and Sumeet G. Dua and has published in prestigious journals such as Journal of Computational and Applied Mathematics, Control Engineering Practice and Journal of Propulsion and Power.

In The Last Decade

Olivier Léonard

47 papers receiving 550 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Olivier Léonard 219 158 123 99 97 48 586
Jun Tao 84 0.4× 179 1.1× 145 1.2× 80 0.8× 49 0.5× 27 547
N. Aretakis 234 1.1× 226 1.4× 84 0.7× 172 1.7× 38 0.4× 68 628
Yanwen Xu 170 0.8× 85 0.5× 115 0.9× 133 1.3× 65 0.7× 50 686
Link Jaw 331 1.5× 132 0.8× 45 0.4× 54 0.5× 48 0.5× 32 509
Laura Mainini 141 0.6× 84 0.5× 116 0.9× 90 0.9× 62 0.6× 36 554
Yinan Wang 259 1.2× 217 1.4× 115 0.9× 40 0.4× 27 0.3× 63 640
Ranjan Vepa 176 0.8× 278 1.8× 119 1.0× 71 0.7× 38 0.4× 60 636
Tianyuan Liu 66 0.3× 200 1.3× 191 1.6× 174 1.8× 32 0.3× 27 514
Wagner F. Sacco 85 0.4× 92 0.6× 47 0.4× 69 0.7× 192 2.0× 39 509
Dean K. Frederick 320 1.5× 87 0.6× 30 0.2× 37 0.4× 67 0.7× 22 509

Countries citing papers authored by Olivier Léonard

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Léonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olivier Léonard

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

All Works

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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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