Marion Gilson

1.8k citations
66 papers · 1.1k · h-index 19

Impact in

Papers in

Marion Gilson

65 papers receiving 1.1k citations

Peers

Marion Gilson
Comparison fields: 5 of 69
  • Control and Systems Engineering 1.0k
  • Civil and Structural Engineering 280
  • Statistics, Probability and Uncertainty 89
  • Computational Mechanics 110
  • Statistical and Nonlinear Physics 50
Replace Guillaume Mercère with:
Guillaume Mercère France
Urban Forssell Sweden
Wouter Favoreel Belgium
Ya Gu China
Shixi Yang China
Biqiang Mu China
W.M. Zhang China
Richard J. Prazenica United States
Hekmat Alighanbari Canada
Yulin Jin China
Marion Gilson relative to Guillaume Mercère France Guillaume Mercère's profile →
Citations per field
00.5×1.7×
Guillaume Mercère · 1×
Citations per year

Countries citing papers authored by Marion Gilson

Since Specialization
Citations

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

Fields of papers citing papers by Marion Gilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010125
2 2004105
3 200670
4 201464
5 201162
6 201246
7 200140
8 201338
9 200035
10 200732
11 200330
12 201126
13 201824
14 201223
15 201722
16 201819
17 200919
18 200819
19 200618
20 200917

About Marion Gilson

Marion Gilson is a scholar working on Control and Systems Engineering, Civil and Structural Engineering, Computational Mechanics, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 66 papers that have together received 1.1k indexed citations. Recurring topics across this work include Control Systems and Identification (59 papers), Fault Detection and Control Systems (45 papers), Structural Health Monitoring Techniques (25 papers), Advanced Control Systems Optimization (14 papers), Advanced Adaptive Filtering Techniques (9 papers), Probabilistic and Robust Engineering Design (7 papers), Hydraulic and Pneumatic Systems (4 papers) and Iterative Learning Control Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (1.0k citations), Civil and Structural Engineering (280 citations), Statistics, Probability and Uncertainty (89 citations), Computational Mechanics (110 citations) and Statistical and Nonlinear Physics (50 citations). Marion Gilson has collaborated with scholars based in France, Netherlands and Australia. Frequent co-authors include Hugues Garnier, Paul M.J. Van den Hof, Vincent Laurain, Roland Tóth, Fengwei Chen, Peter C. Young, Stéphane Thil, Peter C. Young, Wei Xing Zheng and Juan C. Agüero. Their work appears in journals such as Automatica, IET Control Theory and Applications, IEEE Transactions on Control Systems Technology, International Journal of Control and Control Engineering Practice.

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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