Jérôme Morio

89 papers receiving 1.4k citations

Peers

Jérôme Morio
Comparison fields: 5 of 99
  • Statistics, Probability and Uncertainty 532
  • Safety, Risk, Reliability and Quality 186
  • Statistics and Probability 144
  • Hardware and Architecture 115
  • Aerospace Engineering 346
Replace Francesco Cadini with:
Francesco Cadini Italy
J. Wesley Hines United States
David Gorsich United States
Dixiong Yang China
Steven F. Wojtkiewicz United States
F. Kozin United States
Ruichen Jin United States
Felipe Antonio Chegury Viana United States
P. Kevin Tucker United States
Yong Bo Zhao China
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Citations per field
00.5×5×10×14.4×
Francesco Cadini · 1×
Citations per year

Countries citing papers authored by Jérôme Morio

Since Specialization
Citations

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

Fields of papers citing papers by Jérôme Morio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jérôme Morio, 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 Jérôme Morio Line = papers co-authored together Jérôme Morio links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013128
2 2011107
3 200486
4 200672
5 202372
6 201867
7 201457
8 201250
9 201446
10 202131
11 201731
12 201030
13 202530
14 201830
15 201128
16 201228
17 200827
18 202126
19 201725
20
A Trajectory Clustering Framework to Analyse Air Traffic Flows
201724

About Jérôme Morio

Jérôme Morio is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Safety, Risk, Reliability and Quality, Aerospace Engineering and Management Science and Operations Research, having authored 93 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (47 papers), Statistical Distribution Estimation and Applications (25 papers), Reliability and Maintenance Optimization (18 papers), Advanced Multi-Objective Optimization Algorithms (12 papers), Air Traffic Management and Optimization (8 papers), Fault Detection and Control Systems (7 papers), Probability and Risk Models (7 papers) and Optimal Experimental Design Methods (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (532 citations), Safety, Risk, Reliability and Quality (186 citations), Statistics and Probability (144 citations), Hardware and Architecture (115 citations) and Aerospace Engineering (346 citations). Jérôme Morio has collaborated with scholars based in France, Switzerland and Canada. Frequent co-authors include Mathieu Balesdent, François Goudail, Julien Marzat, Philippe Réfrégier, Xavier Olivé, Luca Santinelli, Christian Gogu, Khanh T.P. Nguyen, Kamal Medjaher and Daniel Vanderpooten. Their work appears in journals such as Reliability Engineering & System Safety, Aerospace Science and Technology, Simulation Modelling Practice and Theory, Acta Astronautica and Applied Sciences.

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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