C. Marro

1.0k total citations
12 papers, 583 citations indexed

About

C. Marro is a scholar working on Signal Processing, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, C. Marro has authored 12 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Signal Processing, 9 papers in Computational Mechanics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in C. Marro's work include Speech and Audio Processing (10 papers), Advanced Adaptive Filtering Techniques (9 papers) and Acoustic Wave Phenomena Research (2 papers). C. Marro is often cited by papers focused on Speech and Audio Processing (10 papers), Advanced Adaptive Filtering Techniques (9 papers) and Acoustic Wave Phenomena Research (2 papers). C. Marro collaborates with scholars based in France, Australia and South Korea. C. Marro's co-authors include Pascal Scalart, Cyril Plapous, Y. Mahieux, Klaus Uwe Simmer, Laurent Mauuary, Iain McCowan, Jianfeng Xu, Stéphane Ragot, Mi Suk Lee and Takeshi Mori and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Speech and Audio Processing and Journal of the Audio Engineering Society.

In The Last Decade

C. Marro

12 papers receiving 531 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
C. Marro France	6	536	407	128	111	93	12	583
Christophe Beaugeant Germany	13	437 0.8×	312 0.8×	118 0.9×	83 0.7×	85 0.9×	51	482
Robert Aichner Germany	17	744 1.4×	480 1.2×	203 1.6×	78 0.7×	46 0.5×	33	822
Kamil Wójcicki Australia	12	669 1.2×	418 1.0×	256 2.0×	180 1.6×	73 0.8×	24	746
M. Miyoshi Japan	10	785 1.5×	587 1.4×	152 1.2×	200 1.8×	134 1.4×	17	851
Marco Jeub Germany	11	606 1.1×	360 0.9×	131 1.0×	230 2.1×	77 0.8×	19	658
Maja Taseska Germany	13	427 0.8×	252 0.6×	59 0.5×	117 1.1×	66 0.7×	34	451
Armin Sehr Germany	8	742 1.4×	261 0.6×	450 3.5×	132 1.2×	57 0.6×	24	781
M. Berouti United States	7	826 1.5×	454 1.1×	303 2.4×	158 1.4×	65 0.7×	17	921
MA Jian-fen China	4	389 0.7×	181 0.4×	76 0.6×	232 2.1×	77 0.8×	8	431
Yu Takahashi Japan	14	526 1.0×	359 0.9×	94 0.7×	46 0.4×	34 0.4×	69	624

Countries citing papers authored by C. Marro

Since Specialization

Citations

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

Fields of papers citing papers by C. Marro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Marro

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Scalart, Pascal, et al.. (2010). Computationally efﬁcient and robust frequency-domain GSC. HAL (Le Centre pour la Communication Scientifique Directe). 5 indexed citations

2.

Marro, C., et al.. (2009). An Efficient Low-Complexity Algorithm For Crosstalk-Resistant Adaptive Noise Canceller. INFM-OAR (INFN Catania). 204–208. 5 indexed citations

3.

Mori, Takeshi, Mi Suk Lee, Stéphane Ragot, et al.. (2008). G.711.1: A wideband extension to ITU-T G.711. European Signal Processing Conference. 1–5. 9 indexed citations

4.

Marro, C., et al.. (2008). A PCM coding noise reduction for ITU-t g.711.1. 57–60. 3 indexed citations

5.

Plapous, Cyril, C. Marro, & Pascal Scalart. (2006). Improved Signal-to-Noise Ratio Estimation for Speech Enhancement. IEEE Transactions on Audio Speech and Language Processing. 14(6). 2098–2108. 220 indexed citations

6.

Plapous, Cyril, C. Marro, & Pascal Scalart. (2006). Speech Enhancement Using Harmonic Regeneration. 1. 157–160. 53 indexed citations

7.

Plapous, Cyril, C. Marro, & Pascal Scalart. (2006). Reliable a posteriori signal-to-noise ratio features selection. 67. 66–69. 2 indexed citations

8.

Plapous, Cyril, C. Marro, Laurent Mauuary, & Pascal Scalart. (2004). A two-step noise reduction technique. 1. I–289. 67 indexed citations

9.

McCowan, Iain, C. Marro, & Laurent Mauuary. (2002). Robust speech recognition using near-field superdirective beamforming with post-filtering. 3. 1723–1726. 34 indexed citations

10.

Marro, C., Y. Mahieux, & Klaus Uwe Simmer. (1998). Analysis of noise reduction and dereverberation techniques based on microphone arrays with postfiltering. IEEE Transactions on Speech and Audio Processing. 6(3). 240–259. 180 indexed citations

11.

Mahieux, Y. & C. Marro. (1996). Comparison of Dereverberation Techniques for Videoconferencing Applications. Journal of the Audio Engineering Society. 2 indexed citations

12.

Marro, C., Y. Mahieux, & Klaus Uwe Simmer. (1996). Performance of adaptive dereverberation techniques using directivity controlled arrays. European Signal Processing Conference. 1–4. 3 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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