Éric Levrat

65 papers receiving 1.2k citations

Peers

Éric Levrat
Comparison fields: 5 of 84
  • Medical Laboratory Technology 157
  • Safety, Risk, Reliability and Quality 695
  • Software 218
  • Statistics, Probability and Uncertainty 264
  • Industrial and Manufacturing Engineering 219
Replace Benoît Iung with:
Benoît Iung France
Yihai He China
Yisha Xiang United States
Benoît Iung France
C. Richard Cassady United States
Xiujie Zhao China
Charles E. Ebeling United States
Khanh T.P. Nguyen France
Genbao Zhang China
V.N.A. Naikan India
Éric Levrat relative to Benoît Iung France Benoît Iung's profile →
Citations per field
00.5×1.6×
Benoît Iung · 1×
Citations per year

Countries citing papers authored by Éric Levrat

Since Specialization
Citations

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

Fields of papers citing papers by Éric Levrat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Éric Levrat, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Éric Levrat Line = papers co-authored together Éric Levrat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014226
2 2012210
3 200880
4 200979
5 201472
6 200751
7 200851
8 201043
9 201640
10 200830
11 200827
12 200725
13 200921
14 200820
15 201617
16 200917
17 201414
18 200713
19 201813
20 201212

About Éric Levrat

Éric Levrat is a scholar working on Safety, Risk, Reliability and Quality, Software, Statistics, Probability and Uncertainty, Control and Systems Engineering and Industrial and Manufacturing Engineering, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (28 papers), Software Reliability and Analysis Research (17 papers), Risk and Safety Analysis (17 papers), Quality and Safety in Healthcare (11 papers), Safety Systems Engineering in Autonomy (8 papers), Manufacturing Process and Optimization (6 papers), Multi-Criteria Decision Making (6 papers) and Machine Fault Diagnosis Techniques (6 papers). The work is most often cited by research in Medical Laboratory Technology (157 citations), Safety, Risk, Reliability and Quality (695 citations), Software (218 citations), Statistics, Probability and Uncertainty (264 citations) and Industrial and Manufacturing Engineering (219 citations). Éric Levrat has collaborated with scholars based in France, Spain and Germany. Frequent co-authors include Benoît Iung, Alexandre Voisin, Benoît Iung, Phuc Do, Benoit Iung, Adolfo Crespo Márquez, Khanh Le Son, Anne Barros, Mitra Fouladirad and Philippe Weber. Their work appears in journals such as CIRP Annals, Reliability Engineering & System Safety, Safety Science, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability and Mathematics and Computers in Simulation.

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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