G. Fleury

75 papers receiving 745 citations

Peers

G. Fleury
Comparison fields: 5 of 85
  • Energy Engineering and Power Technology 36
  • Biophysics 54
  • Control and Systems Engineering 178
  • Statistics, Probability and Uncertainty 52
  • Statistics and Probability 52
Replace Yongbin Yu with:
Yongbin Yu China
Frank Sehnke Germany
Jian-Xue Xu China
Xinwei Sun China
Botond Cseke Netherlands
Patrick Pfaff Germany
Dongying Han China
Tobias Glasmachers Germany
Deng-Yuan Huang Taiwan
Charles L. Phillips United States
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Citations per year

Countries citing papers authored by G. Fleury

Since Specialization
Citations

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

Fields of papers citing papers by G. Fleury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004149
2 2005139
3 200934
4 201031
5 200524
6 200424
7 199721
8 200621
9 200418
10 199916
11 200415
12 200915
13 200415
14 199912
15 199811
16 200411
17 200311
18 200011
19 200410
20 20029

About G. Fleury

G. Fleury is a scholar working on Artificial Intelligence, Control and Systems Engineering, Mechanical Engineering, Biomedical Engineering and Statistics and Probability, having authored 79 papers that have together received 802 indexed citations. Recurring topics across this work include Non-Destructive Testing Techniques (13 papers), Target Tracking and Data Fusion in Sensor Networks (11 papers), Ultrasound and Hyperthermia Applications (10 papers), Ultrasonics and Acoustic Wave Propagation (9 papers), Control Systems and Identification (8 papers), Ultrasound Imaging and Elastography (8 papers), Image and Signal Denoising Methods (8 papers) and Statistical Methods and Inference (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (36 citations), Biophysics (54 citations), Control and Systems Engineering (178 citations), Statistics, Probability and Uncertainty (52 citations) and Statistics and Probability (52 citations). G. Fleury has collaborated with scholars based in France, United States and Mexico. Frequent co-authors include P. Bastard, Alfred O. Hero, Abd‐Krim Seghouane, Anand Swaroop, Alan J. Mears, M. Bekara, J. Oksman, Carrolee Barlow, Shigeo Yoshida and James S. Friedman. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Signal Processing, Research in Nondestructive Evaluation, Journal of the European Optical Society Rapid Publications and Signal Processing.

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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