S. Borguet

413 citations
29 papers · 338 indexed · h-index 11

S. Borguet

28 papers receiving 322 citations

Peers

S. Borguet
Comparison fields: 5 of 40
  • Statistics, Probability and Uncertainty 82
  • Control and Systems Engineering 203
  • Fluid Flow and Transfer Processes 35
  • Automotive Engineering 45
  • Mechanics of Materials 58
Replace David L. Doel with:
David L. Doel United States
E. Naderi Canada
Tim Breikin United Kingdom
Mihiar Ayoubi Germany
N. Sivashankar United States
Arinan Dourado United States
Claudia Schmid United States
Stephen A. Jacklin United States
Xin Hua Yang China
Yunzhi Huang China
S. Borguet relative to David L. Doel United States David L. Doel's profile →
Citations per field
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Citations per year

Countries citing papers authored by S. Borguet

Since Specialization
Citations

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

Fields of papers citing papers by S. Borguet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 5 scholars most cited alongside S. Borguet, 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 S. Borguet Line = papers co-authored together S. Borguet links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20154
2 201516
3 201323
4 201338
5 20138
6
Variations on the Kalman filter for enhanced performance monitoring of gas turbine engines
20124
7 20113
8 20114
9 200947
10 20092
11 20081
12 200818
13 200848
14 200818
15 200810
16 20082
17 20074
18
Cycle Optimization of a Turbine Engine: an Approach Based on Genetic Algorithms
20062
19 20064
20 200511

About S. Borguet

S. Borguet is a scholar working on Statistics, Probability and Uncertainty, Fluid Flow and Transfer Processes, Automotive Engineering, Control and Systems Engineering and Biomedical Engineering, having authored 29 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced Sensor Technologies Research (15 papers), Scientific Measurement and Uncertainty Evaluation (11 papers), Fault Detection and Control Systems (8 papers), Control Systems and Identification (8 papers), Technical Engine Diagnostics and Monitoring (7 papers), Advanced Combustion Engine Technologies (6 papers), Probabilistic and Robust Engineering Design (5 papers) and Structural Health Monitoring Techniques (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (82 citations), Control and Systems Engineering (203 citations), Fluid Flow and Transfer Processes (35 citations), Automotive Engineering (45 citations) and Mechanics of Materials (58 citations). S. Borguet has collaborated with scholars based in Belgium, Sweden and United States. Frequent co-authors include Olivier Léonard, Pierre Dewallef, Xiaodong Zhang, Donald L. Simon and Tomas McKelvey. Their work appears in journals such as Journal of Engineering for Gas Turbines and Power, Control Engineering Practice, International Journal of Rotating Machinery, Journal of Computational and Applied Mathematics and Journal of Propulsion and Power.

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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