O. Leray

535 total citations
39 papers, 404 citations indexed

About

O. Leray is a scholar working on Aerospace Engineering, Materials Chemistry and Radiation. According to data from OpenAlex, O. Leray has authored 39 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Aerospace Engineering, 17 papers in Materials Chemistry and 10 papers in Radiation. Recurrent topics in O. Leray's work include Nuclear reactor physics and engineering (20 papers), Nuclear Materials and Properties (16 papers) and Nuclear Physics and Applications (10 papers). O. Leray is often cited by papers focused on Nuclear reactor physics and engineering (20 papers), Nuclear Materials and Properties (16 papers) and Nuclear Physics and Applications (10 papers). O. Leray collaborates with scholars based in Switzerland, France and United Kingdom. O. Leray's co-authors include H. Ferroukhi, A. Vasiliev, D. Rochman, Mathieu Hursin, Sarah Barbey, Mickaël Brochard, Hélène Larroque, Andreas Pautz, Grégory Perret and Jean-Christophe Sublet and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

O. Leray

35 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
O. Leray Switzerland 10 237 199 128 71 67 39 404
David Millard United Kingdom 9 6 0.0× 21 0.1× 9 0.1× 145 2.0× 60 0.9× 17 490
G.A. Jarvis Canada 12 39 0.2× 19 0.1× 46 0.4× 4 0.1× 2 0.0× 23 255
D. Sanz Spain 10 32 0.1× 22 0.1× 29 0.2× 8 0.1× 36 313
C. Detavernier Belgium 9 15 0.1× 89 0.4× 6 0.0× 2 0.0× 4 0.1× 15 421
G. Ramos Mexico 13 25 0.1× 180 0.9× 11 0.1× 3 0.0× 28 402
Y. Jiang China 12 21 0.1× 72 0.4× 77 1.1× 21 0.3× 28 474
Pierre-Louis Fortier France 12 13 0.1× 110 0.6× 3 0.0× 72 1.1× 15 450
Diego Alonso Restrepo Molina Colombia 7 10 0.0× 14 0.1× 21 0.2× 3 0.0× 50 188
Jibo Li China 11 58 0.2× 18 0.1× 3 0.0× 5 0.1× 3 0.0× 36 404
W.J. Carey United States 10 18 0.1× 21 0.1× 18 0.3× 8 0.1× 22 376

Countries citing papers authored by O. Leray

Since Specialization
Citations

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

Fields of papers citing papers by O. Leray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of O. Leray

This figure shows the co-authorship network connecting the top 25 collaborators of O. Leray. A scholar is included among the top collaborators of O. Leray 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 O. Leray. O. Leray 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.
Leray, O., D. Rochman, Michael Fleming, et al.. (2017). Fission yield covariances for JEFF: A Bayesian Monte Carlo method. SHILAP Revista de lepidopterología. 146. 9023–9023. 8 indexed citations
2.
Leray, O., H. Ferroukhi, Mathieu Hursin, A. Vasiliev, & D. Rochman. (2017). Methodology for core analyses with nuclear data uncertainty quantification and application to Swiss PWR operated cycles. Annals of Nuclear Energy. 110. 547–559. 33 indexed citations
3.
Rochman, D., et al.. (2017). Impact of nuclear data uncertainty on safety calculations for spent nuclear fuel geological disposal. SHILAP Revista de lepidopterología. 146. 9028–9028. 8 indexed citations
4.
Bostelmann, Friederike, et al.. (2016). Benchmarking and application of the state-of-the-art uncertainty analysis methods XSUSA and SHARK-X. Annals of Nuclear Energy. 101. 262–269. 15 indexed citations
5.
Rochman, D., O. Leray, A. Vasiliev, et al.. (2016). A Bayesian Monte Carlo method for fission yield covariance information. Annals of Nuclear Energy. 95. 125–134. 28 indexed citations
6.
Pecchia, M., A. Vasiliev, O. Leray, H. Ferroukhi, & Andreas Pautz. (2015). Advanced calculation methodology for manufacturing and technological parameters’ uncertainties propagation at arbitrary level of lattice elements grouping. Journal of Nuclear Science and Technology. 52(7-8). 1084–1092. 8 indexed citations
7.
Leray, O., et al.. (2014). Analysis of the AMMON Experimental Program in the EOLE Facility Supporting the Qualification of the JHR Neutron and Photon Tools. IEEE Transactions on Nuclear Science. 61(4). 2246–2253. 6 indexed citations
8.
Ferroukhi, H., O. Leray, Mathieu Hursin, et al.. (2014). Study of Nuclear Decay Data Contribution to Uncertainties in Heat Load Estimations for Spent Fuel Pools. Nuclear Data Sheets. 118. 498–501. 11 indexed citations
9.
Palhière, Isabelle, Mickaël Brochard, O. Leray, et al.. (2013). Prediction of fatty acid profiles in cow, ewe, and goat milk by mid-infrared spectrometry. Journal of Dairy Science. 97(1). 17–35. 74 indexed citations
10.
Leray, O., et al.. (2013). Monte Carlo Interpretation of the AMMON/REF Experiment in EOLE for the JHR Reactor Neutron Calculations. Nuclear Science and Engineering. 175(3). 318–328. 8 indexed citations
11.
Leray, O., et al.. (2012). SENSITIVITY AND UNCERTAINTY ANALYSIS APPLIED TO THE JHR REACTIVITY PREDICTION. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 10 indexed citations
12.
Leray, O., et al.. (2010). The use of a new sensor (Behaviour tag) for improving heat detection, health and welfare monitoring in different rearing conditions.. 113–127. 2 indexed citations
13.
Leray, O., et al.. (2010). Adding value to data emanating from routine animal recording processes.. 189–198. 1 indexed citations
14.
Astruc, J.M., Gilles Lagriffoul, Hélène Larroque, et al.. (2010). Use of genomic data in French dairy sheep breeding programs: results and prospects.. 11–17. 3 indexed citations
15.
Barbey, Sarah, et al.. (2010). Determination of fatty acid profile in cow's milk using mid-infrared spectrometry: Interest of applying a variable selection by genetic algorithms before a PLS regression. Chemometrics and Intelligent Laboratory Systems. 106(2). 183–189. 44 indexed citations
16.
Usai, Mario Graziano, Tiziana Cubeddu, Tonina Roggio, et al.. (2010). Analysis of a representative sample of Sarda breed artificial insemination rams with the OvineSNP50 BeadChip.. 7–10. 3 indexed citations
17.
Leray, O., et al.. (2010). Analytical precision performance in ICAR proficiency testing programmes.. 263–270. 1 indexed citations
18.
Leray, O., et al.. (2009). ICAR AQA strategy - international anchorage and harmonisation.. 295–300. 1 indexed citations
19.
Leray, O., et al.. (2009). Interlaboratory reference systems and centralised calibration - prerequisites and standard procedures.. 301–305. 1 indexed citations
20.
Hanuš, Oto, et al.. (2000). A review of the effect of international laboratory collaboration on the reliability of milk analysis data.. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 48(4). 121–131. 1 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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