S. Lecœuche

6.0k citations
73 papers · 4.1k indexed · 2 hit papers · h-index 20

S. Lecœuche

71 papers receiving 4.0k citations

Hit Papers

2011 International Joint Conference o...1.2k199020262002201450010001.5k

Peers

S. Lecœuche
Comparison fields: 5 of 189
  • Energy Engineering and Power Technology 171
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 855
  • Control and Systems Engineering 871
  • Signal Processing 321
Replace Patrick Siarry with:
Patrick Siarry France
Bogdan M. Wilamowski United States
Aytaç Altan Türkiye
Seán McLoone United Kingdom
Esmat Rashedi Iran
Pavel Trojovský Czechia
Chee‐Kheong Siew Singapore
S. N. Deepa India
Ke Yan China
Amitava Chatterjee India
S. Lecœuche relative to Patrick Siarry France Patrick Siarry's profile →
Citations per field
00.5×1.5×1.9×
Patrick Siarry · 1×
Citations per year

Countries citing papers authored by S. Lecœuche

Since Specialization
Citations

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

Fields of papers citing papers by S. Lecœuche

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202412
2 20241
3 20206
4 20191
5 20181
6 20141
7
Multi Spatio-Temporal Co-occurrence Measures for Human Action Classification.
20131
8 20125
9
IFAC World Congress
20111
10 201112
11 201010
12 20103
13 200919
14 200810
15 20082
16 20068
17
Unsupervised classifier for monitoring and diagnostic of time series.
20022
18 20005
19 19971
20
International Conference on Artificial Neural Networksbreakdown →
19901790

About S. Lecœuche

S. Lecœuche is a scholar working on Control and Systems Engineering, Artificial Intelligence, Signal Processing, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 73 papers that have together received 4.1k indexed citations. Recurring topics across this work include Control Systems and Identification (30 papers), Fault Detection and Control Systems (25 papers), Advanced Control Systems Optimization (15 papers), Neural Networks and Applications (9 papers), Structural Health Monitoring Techniques (6 papers), Building Energy and Comfort Optimization (5 papers), Stability and Control of Uncertain Systems (5 papers) and Advanced Adaptive Filtering Techniques (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (171 citations), Artificial Intelligence (1.5k citations), Computer Vision and Pattern Recognition (855 citations), Control and Systems Engineering (871 citations) and Signal Processing (321 citations). S. Lecœuche has collaborated with scholars based in France, Italy and United Kingdom. Frequent co-authors include Habiboulaye Amadou Boubacar, S. Maouche, Laurent Bako, Guillaume Mercère, Sylvain Lalot, Éric Duviella, Marco Lovera, Tao Zhou, Bruno François and Anthony Fleury. Their work appears in journals such as International Journal of Robust and Nonlinear Control, International Communications in Heat and Mass Transfer, Nonlinear Analysis Hybrid Systems, Engineering Applications of Artificial Intelligence and Neural Networks.

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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