C. Doncarli

1.4k citations
39 papers · 958 · h-index 14

Impact in

Papers in

C. Doncarli

35 papers receiving 901 citations

Peers

C. Doncarli
Comparison fields: 5 of 96
  • Signal Processing 301
  • Cognitive Neuroscience 309
  • Human-Computer Interaction 56
  • Cellular and Molecular Neuroscience 157
  • Biomedical Engineering 316
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Citations per field
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Citations per year

Countries citing papers authored by C. Doncarli

Since Specialization
Citations

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

Fields of papers citing papers by C. Doncarli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside C. Doncarli, 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 C. Doncarli Line = papers co-authored together C. Doncarli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007196
2 2005169
3 200592
4 200784
5 200461
6 200459
7 199851
8 200735
9 200133
10 200532
11 200224
12 200221
13 200219
14 200216
15 20028
16
A new nonstationary test procedure for improved loudspeaker fault detection
20027
17 20067
18 19775
19 20025
20
A UNIFIED PRESENTATION OF BLIND SEPARATION METHODS FOR CONVOLUTIVE MIXTURES USING BLOCK-DIAGONALIZATION C´
20035

About C. Doncarli

C. Doncarli is a scholar working on Signal Processing, Control and Systems Engineering, Artificial Intelligence, Cognitive Neuroscience and Analytical Chemistry, having authored 39 papers that have together received 958 indexed citations. Recurring topics across this work include Blind Source Separation Techniques (17 papers), EEG and Brain-Computer Interfaces (9 papers), Machine Fault Diagnosis Techniques (8 papers), Fault Detection and Control Systems (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Muscle activation and electromyography studies (6 papers), Neural Networks and Applications (6 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Signal Processing (301 citations), Cognitive Neuroscience (309 citations), Human-Computer Interaction (56 citations), Cellular and Molecular Neuroscience (157 citations) and Biomedical Engineering (316 citations). C. Doncarli has collaborated with scholars based in France, Denmark and United Kingdom. Frequent co-authors include Manuel Davy, Dario Farina, F. Desobry, Marie-Françoise Lucas, Cédric Févotte, Hélène Laurent, Arthur Gretton, Omar Feix do Nascimento, Roberto Merletti and G.F. Boudreaux-Bartels. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Biomedical Engineering, Signal Processing, IEEE Transactions on Signal Processing and Journal of the Audio Engineering Society.

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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