C. Doncarli

1.4k total citations
39 papers, 957 citations indexed

About

C. Doncarli is a scholar working on Signal Processing, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, C. Doncarli has authored 39 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Signal Processing, 14 papers in Control and Systems Engineering and 12 papers in Artificial Intelligence. Recurrent topics in C. Doncarli's work include Blind Source Separation Techniques (17 papers), EEG and Brain-Computer Interfaces (9 papers) and Fault Detection and Control Systems (8 papers). C. Doncarli is often cited by papers focused on Blind Source Separation Techniques (17 papers), EEG and Brain-Computer Interfaces (9 papers) and Fault Detection and Control Systems (8 papers). C. Doncarli collaborates with scholars based in France, Denmark and United Kingdom. C. Doncarli's 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 and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Signal Processing and IEEE Transactions on Biomedical Engineering.

In The Last Decade

C. Doncarli

35 papers receiving 899 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Doncarli France 14 327 323 302 225 181 39 957
Abhay Upadhyay India 15 243 0.7× 578 1.8× 327 1.1× 121 0.5× 70 0.4× 51 1.1k
M. J. E. Salami Malaysia 18 97 0.3× 136 0.4× 149 0.5× 223 1.0× 53 0.3× 101 964
Ahmad Ayatollahi Iran 18 170 0.5× 237 0.7× 181 0.6× 296 1.3× 105 0.6× 97 1.2k
Pradip Sircar India 16 94 0.3× 376 1.2× 473 1.6× 173 0.8× 22 0.1× 57 993
Easter S. Suviseshamuthu India 16 246 0.8× 270 0.8× 137 0.5× 118 0.5× 62 0.3× 55 880
Rishi Raj Sharma India 16 116 0.4× 336 1.0× 226 0.7× 112 0.5× 27 0.1× 62 879
Lalit Gupta United States 16 137 0.4× 211 0.7× 223 0.7× 280 1.2× 21 0.1× 78 1.1k
Romis Attux Brazil 16 41 0.1× 288 0.9× 232 0.8× 274 1.2× 108 0.6× 104 895
Zümray Dokur Türkiye 19 198 0.6× 444 1.4× 332 1.1× 204 0.9× 65 0.4× 58 1.3k
M. L. Dewal India 16 75 0.2× 482 1.5× 345 1.1× 156 0.7× 65 0.4× 67 1.1k

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-authorship network of co-authors of C. Doncarli

This figure shows the co-authorship network connecting the top 25 collaborators of C. Doncarli. A scholar is included among the top collaborators of C. Doncarli 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 C. Doncarli. C. Doncarli 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
1.
Doncarli, C., et al.. (2008). Optimization of a set of wavelets for classification of imaginary movement-related cortical potentials. VBN Forskningsportal (Aalborg Universitet). 1–3. 2 indexed citations
2.
Farina, Dario, Marie-Françoise Lucas, & C. Doncarli. (2007). Optimized Wavelets for Blind Separation of Nonstationary Surface Myoelectric Signals. IEEE Transactions on Biomedical Engineering. 55(1). 78–86. 35 indexed citations
3.
Farina, Dario, Omar Feix do Nascimento, Marie-Françoise Lucas, & C. Doncarli. (2007). Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters. Journal of Neuroscience Methods. 162(1-2). 357–363. 84 indexed citations
4.
Doncarli, C., et al.. (2005). Signal-dependent wavelets for electromyogram classification. Medical & Biological Engineering & Computing. 43(4). 487–492. 32 indexed citations
5.
Févotte, Cédric & C. Doncarli. (2004). Two Contributions to Blind Source Separation Using Time–Frequency Distributions. IEEE Signal Processing Letters. 11(3). 386–389. 61 indexed citations
6.
Doncarli, C., et al.. (2004). Two approaches for the estimation of time-varying amplitude multichirp signals. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 1. VI–657. 1 indexed citations
7.
Févotte, Cédric, et al.. (2003). Blind source separation of FIR convolutive mixtures: application to speech signals.. 23. 2 indexed citations
8.
Davy, Manuel & C. Doncarli. (2002). A new nonstationary test procedure for improved loudspeaker fault detection. Journal of the Audio Engineering Society. 50(6). 458–469. 7 indexed citations
9.
Davy, Manuel, et al.. (2002). Classification of chirp signals using hierarchical Bayesian learning and MCMC methods. IEEE Transactions on Signal Processing. 50(2). 377–388. 19 indexed citations
10.
Doncarli, C., et al.. (2002). Dynamic location of a mobile robot by extended Kalman filtering. 1433–1435.
11.
Davy, Manuel, et al.. (2002). Supervised classification using MCMC methods. 1. 33–36. 8 indexed citations
12.
Doncarli, C., et al.. (2002). Detection of human reflex response in EMG signals: a time-frequency approach. 179–182. 1 indexed citations
13.
Doncarli, C., et al.. (2002). Non stationary signals classification using time-frequency distributions. 233–236. 16 indexed citations
14.
Doncarli, C., et al.. (2001). Identification de signaux multicomposantes à phase polynomiale et à amplitude variable. 1 indexed citations
15.
Doncarli, C., et al.. (1999). Détection précoce d'endommagement de denture sur des trains d'engrenages droits par analyse vibratoire. 1 indexed citations
16.
Doncarli, C., et al.. (1992). Adaptive smoothing of evoked potentials. Signal Processing. 28(1). 63–76. 4 indexed citations
17.
Doncarli, C. & Éric Le Carpentier. (1991). An optimal approach for random signals classification. IEEE Transactions on Pattern Analysis and Machine Intelligence. 13(11). 1192–1196. 1 indexed citations
18.
Doncarli, C., et al.. (1988). Adaptive smoothing of evoked potentials: a new approach. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 23. 1152–1153 vol.3. 3 indexed citations
19.
Doncarli, C., et al.. (1983). Sequential Detection of Abrupt Changes in ARMA Models. IFAC Proceedings Volumes. 16(9). 135–136.
20.
Doncarli, C., et al.. (1977). A real-time generalized least squares estimation method for identification of linear systems. IFAC Proceedings Volumes. 10(6). 379–384. 5 indexed citations

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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