Vilmar Æsøy

51 papers receiving 1.2k citations

Vilmar Æsøy's Hit Papers

Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture 2018 · 392 citations
3920+2+5Years since publication100200300

Peers

Vilmar Æsøy
Comparison fields: 5 of 86
  • Fluid Flow and Transfer Processes 155
  • Control and Systems Engineering 503
  • Medical Laboratory Technology 25
  • Safety, Risk, Reliability and Quality 152
  • Energy Engineering and Power Technology 44
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Xueyi Li China
Andrea Coraddu Netherlands
Massimo Figari Italy
Dengji Zhou China
Yuan Zhuang China
Pietro Borghesani Australia
Victor Bolbot Finland
Yan Xia China
Amir R. Nejad Norway
Feng Lü China
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Countries citing papers authored by Vilmar Æsøy

Since Specialization
Citations

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

Fields of papers citing papers by Vilmar Æsøy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
Hit paper breakdown →
2018392
2 201274
3 201865
4 201146
5 202142
6 202042
7 201738
8 199637
9 202134
10 201932
11 201727
12 202126
13 201726
14 201926
15 199624
16 201822
17 201817
18 202417
19 201716
20 201314

About Vilmar Æsøy

Vilmar Æsøy is a scholar working on Control and Systems Engineering, Ocean Engineering, Computational Mechanics, Fluid Flow and Transfer Processes and Aerospace Engineering, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (9 papers), Fluid Dynamics Simulations and Interactions (8 papers), Spacecraft and Cryogenic Technologies (8 papers), Maritime Transport Emissions and Efficiency (8 papers), Machine Fault Diagnosis Techniques (6 papers), Ship Hydrodynamics and Maneuverability (6 papers), Offshore Engineering and Technologies (6 papers) and Modeling and Simulation Systems (6 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (155 citations), Control and Systems Engineering (503 citations), Medical Laboratory Technology (25 citations), Safety, Risk, Reliability and Quality (152 citations) and Energy Engineering and Power Technology (44 citations). Vilmar Æsøy has collaborated with scholars based in Norway, Germany and United Kingdom. Frequent co-authors include Houxiang Zhang, Sergey Ushakov, André Listou Ellefsen, Emil Bjørlykhaug, Eilif Pedersen, Sören Ehlers, D. Polic, Hans Bihs, Guoyuan Li and Lars Ivar Hatledal. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Marine Science and Technology, Journal of Offshore Mechanics and Arctic Engineering, Ocean Engineering and SAE international journal of fuels and lubricants.

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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