David Mercier

36 papers receiving 494 citations

Peers

David Mercier
Comparison fields: 5 of 94
  • Artificial Intelligence 166
  • Control and Systems Engineering 156
  • Electrical and Electronic Engineering 108
  • Mechanical Engineering 95
  • Management Science and Operations Research 81
Replace Yi Xiao with:
Yi Xiao China
Hua Ouyang United Kingdom
Martha White Canada
Song Sun China
Jesús Maudes Spain
S. Kobayashi Japan
Linbo Wang China
Min Zheng China
Seyede Fatemeh Ghoreishi United States
David Mercier relative to Yi Xiao China Yi Xiao's profile →
Citations per field
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Yi Xiao · 1×
Citations per year

Countries citing papers authored by David Mercier

Since Specialization
Citations

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

Fields of papers citing papers by David Mercier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mercier

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
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3 44
4 2
5 15
6 9
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9 19
10
A robust regularization path for the Doubly Regularized Support Vector Machine.
1
11 31
12 4
13 40
14 29
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Association pour le suivi d'objets dans le cadre des fonctions de croyance, appliquée aux véhicules intelligents.
0
16 17
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A parameterized family of belief functions correction mechanisms.
1
18
Fusion de décisions postales dans le cadre du Modèle des Croyances Transférables
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19 5
20
Lipreading with spiking neurons one pass learning
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About David Mercier

David Mercier is a scholar working on Control and Systems Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 38 papers that have together received 506 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (6 papers), Non-Destructive Testing Techniques (6 papers) and Machine Fault Diagnosis Techniques (6 papers). The work is most often cited by research in Control and Systems Engineering (156 citations), Management Science and Operations Research (81 citations) and Artificial Intelligence (166 citations). David Mercier has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Éric Lefèvre, Thierry Denœux, Benjamin Quost, Raphaël Romary, Rémus Pusca, François Delmotte, Cristian Demian, Marie-Hélène Masson, Quentin Barthélemy and Aurélien Mayoue. Their work appears in journals such as PLoS ONE, IEEE Transactions on Industrial Electronics and IEEE Transactions on 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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