Sergey Ushakov

995 total citations · 1 hit paper
16 papers, 779 citations indexed

About

Sergey Ushakov is a scholar working on Automotive Engineering, Environmental Engineering and Biomedical Engineering. According to data from OpenAlex, Sergey Ushakov has authored 16 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Automotive Engineering, 8 papers in Environmental Engineering and 6 papers in Biomedical Engineering. Recurrent topics in Sergey Ushakov's work include Vehicle emissions and performance (9 papers), Maritime Transport Emissions and Efficiency (8 papers) and Biodiesel Production and Applications (6 papers). Sergey Ushakov is often cited by papers focused on Vehicle emissions and performance (9 papers), Maritime Transport Emissions and Efficiency (8 papers) and Biodiesel Production and Applications (6 papers). Sergey Ushakov collaborates with scholars based in Norway. Sergey Ushakov's co-authors include Vilmar Æsøy, André Listou Ellefsen, Houxiang Zhang, Emil Bjørlykhaug, Nicolas Lefèbvre, Xu Cheng, Terese Løvås, David Robert Emberson and Eilif Pedersen and has published in prestigious journals such as Energy Conversion and Management, IEEE Access and Fuel Processing Technology.

In The Last Decade

Sergey Ushakov

15 papers receiving 754 citations

Hit Papers

Remaining useful life predictions for turbofan engine deg... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture
    2018 378 citations André Listou Ellefsen, Emil Bjørlykhaug et al. Reliability Engineering & System Safety profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sergey Ushakov Norway 12 370 159 155 152 148 16 779
Massimo Figari Italy 19 181 0.5× 483 3.0× 132 0.9× 140 0.9× 43 0.3× 61 947
Eilif Pedersen Norway 20 311 0.8× 525 3.3× 347 2.2× 314 2.1× 19 0.1× 91 1.3k
Yanfeng Gong China 16 205 0.6× 58 0.4× 131 0.8× 62 0.4× 123 0.8× 71 833
Marco Altosole Italy 18 90 0.2× 482 3.0× 147 0.9× 172 1.1× 19 0.1× 54 812
Marcus Thern Sweden 19 68 0.2× 201 1.3× 432 2.8× 84 0.6× 23 0.2× 59 1.1k
Çağlar Karatuğ Türkiye 13 76 0.2× 252 1.6× 77 0.5× 105 0.7× 40 0.3× 22 500
Shuiting Ding China 19 130 0.4× 19 0.1× 498 3.2× 152 1.0× 26 0.2× 101 1.1k
Biagio Palumbo Italy 17 69 0.2× 164 1.0× 323 2.1× 199 1.3× 18 0.1× 55 827

Countries citing papers authored by Sergey Ushakov

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Ushakov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sergey Ushakov

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

All Works

16 of 16 papers shown
1.
Ushakov, Sergey, et al.. (2019). Methane slip from gas fuelled ships: a comprehensive summary based on measurement data. Journal of Marine Science and Technology. 24(4). 1308–1325. 96 indexed citations
2.
Lefèbvre, Nicolas, et al.. (2019). Fuel Rate Curve-Based Reverse Engineering Approach for Common Rail Diesel Injectors. SAE technical papers on CD-ROM/SAE technical paper series. 1.
3.
Ushakov, Sergey, et al.. (2019). Meeting future emission regulation at sea by combining low-pressure EGR and seawater scrubbing. Journal of Marine Science and Technology. 25(2). 482–497. 16 indexed citations
4.
Emberson, David Robert, et al.. (2019). Experimental Study of Ignition Delay, Combustion, and NO Emission Characteristics of Hydrogenated Vegetable Oil. SAE international journal of fuels and lubricants. 12(1). 29–42. 11 indexed citations
5.
Ellefsen, André Listou, et al.. (2019). Automatic Fault Detection for Marine Diesel Engine Degradation in Autonomous Ferry Crossing Operation. 2195–2200. 13 indexed citations
6.
Ushakov, Sergey & Nicolas Lefèbvre. (2019). Assessment of Hydrotreated Vegetable Oil (HVO) Applicability as an Alternative Marine Fuel Based on Its Performance and Emissions Characteristics. SAE international journal of fuels and lubricants. 12(2). 109–120. 15 indexed citations
7.
Ellefsen, André Listou, et al.. (2019). A Comprehensive Survey of Prognostics and Health Management Based on Deep Learning for Autonomous Ships. IEEE Transactions on Reliability. 68(2). 720–740. 75 indexed citations
8.
Ellefsen, André Listou, Sergey Ushakov, Vilmar Æsøy, & Houxiang Zhang. (2019). Validation of Data-Driven Labeling Approaches Using a Novel Deep Network Structure for Remaining Useful Life Predictions. IEEE Access. 7. 71563–71575. 26 indexed citations
9.
Ellefsen, André Listou, Emil Bjørlykhaug, Vilmar Æsøy, Sergey Ushakov, & Houxiang Zhang. (2018). Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture. Reliability Engineering & System Safety. 183. 240–251. 378 indexed citations breakdown →
10.
Ushakov, Sergey, et al.. (2018). Control of the combustion process and emission formation in marine gas engines. Journal of Marine Science and Technology. 24(2). 593–611. 17 indexed citations
11.
Ushakov, Sergey, et al.. (2014). Effects of high sulphur content in marine fuels on particulate matter emission characteristics. 12(3). 30–39. 15 indexed citations
12.
Ushakov, Sergey, et al.. (2013). Effects of dilution conditions on diesel particle size distribution and filter mass measurements in case of marine fuels. Fuel Processing Technology. 118. 244–253. 8 indexed citations
13.
Ushakov, Sergey, et al.. (2012). Combustion and emissions characteristics of fish oil fuel in a heavy-duty diesel engine. Energy Conversion and Management. 65. 228–238. 73 indexed citations
14.
Ushakov, Sergey, et al.. (2012). Emission characteristics of GTL fuel as an alternative to conventional marine gas oil. Transportation Research Part D Transport and Environment. 18. 31–38. 11 indexed citations
15.
Ushakov, Sergey, et al.. (2012). Particulate matter emissions from medium-speed marine diesel engines. 1 indexed citations
16.
Ushakov, Sergey, et al.. (2012). Particle size distributions from heavy-duty diesel engine operated on low-sulfur marine fuel. Fuel Processing Technology. 106. 350–358. 24 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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