Marc‐André Carbonneau

1.2k total citations · 1 hit paper
18 papers, 715 citations indexed

About

Marc‐André Carbonneau is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Marc‐André Carbonneau has authored 18 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 4 papers in Signal Processing. Recurrent topics in Marc‐André Carbonneau's work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (4 papers) and Video Analysis and Summarization (4 papers). Marc‐André Carbonneau is often cited by papers focused on Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (4 papers) and Video Analysis and Summarization (4 papers). Marc‐André Carbonneau collaborates with scholars based in Canada, Netherlands and South Africa. Marc‐André Carbonneau's co-authors include Ghyslain Gagnon, Éric Granger, Veronika Cheplygina, Ylva Ferstl, Herman Kamper, Daniel Holden, Alexandre J. Raymond, Nikolaus F. Troje, Jérémie Voix and Simone Balocco and has published in prestigious journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and IEEE Signal Processing Letters.

In The Last Decade

Marc‐André Carbonneau

16 papers receiving 696 citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Multiple instance learning: A survey of problem characteristics and applications

2017 435 citations Marc‐André Carbonneau, Veronika Cheplygina et al. Pattern Recognition profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marc‐André Carbonneau Canada	9	374	307	108	102	47	18	715
Tariq Sadad Pakistan	15	482 1.3×	207 0.7×	195 1.8×	181 1.8×	19 0.4×	32	929
Awais Mahmood Saudi Arabia	17	398 1.1×	185 0.6×	173 1.6×	109 1.1×	18 0.4×	45	711
Mahdieh Soleymani Baghshah Iran	15	423 1.1×	323 1.1×	55 0.5×	59 0.6×	10 0.2×	52	676
Jingyuan Zhang China	16	523 1.4×	141 0.5×	16 0.1×	60 0.6×	22 0.5×	81	928
Tuyen Danh Pham South Korea	16	169 0.5×	382 1.2×	128 1.2×	162 1.6×	20 0.4×	36	729
Shintami Chusnul Hidayati Indonesia	13	255 0.7×	374 1.2×	39 0.4×	320 3.1×	13 0.3×	71	952
Melih Kandemir Germany	12	328 0.9×	302 1.0×	21 0.2×	125 1.2×	55 1.2×	32	513
Woong-Kee Loh South Korea	12	222 0.6×	110 0.4×	184 1.7×	96 0.9×	29 0.6×	46	548
Naveed Abbas Pakistan	15	345 0.9×	468 1.5×	22 0.2×	218 2.1×	43 0.9×	40	802
Fanyang Meng China	13	297 0.8×	327 1.1×	76 0.7×	71 0.7×	9 0.2×	57	657

Countries citing papers authored by Marc‐André Carbonneau

Since Specialization

Citations

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

Fields of papers citing papers by Marc‐André Carbonneau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc‐André Carbonneau. 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 Marc‐André Carbonneau. The network helps show where Marc‐André Carbonneau may publish in the future.

Co-authorship network of co-authors of Marc‐André Carbonneau

This figure shows the co-authorship network connecting the top 25 collaborators of Marc‐André Carbonneau. A scholar is included among the top collaborators of Marc‐André Carbonneau 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 Marc‐André Carbonneau. Marc‐André Carbonneau 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:

18 of 18 papers shown

Carbonneau, Marc‐André, et al.. (2024). Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection. 3002–3016.

Carbonneau, Marc‐André, et al.. (2024). BinaryAlign: Word Alignment as Binary Sequence Labeling. 10277–10288.

Carbonneau, Marc‐André, et al.. (2023). The La Forge Speech Synthesis System for Blizzard Challenge 2023. 75–80. 1 indexed citations

Ferstl, Ylva, et al.. (2023). ZeroEGGS: Zero‐shot Example‐based Gesture Generation from Speech. Computer Graphics Forum. 42(1). 206–216. 49 indexed citations

Carbonneau, Marc‐André, et al.. (2023). Rhythm Modeling for Voice Conversion. IEEE Signal Processing Letters. 30. 1297–1301. 2 indexed citations

Carbonneau, Marc‐André, et al.. (2022). Measuring Disentanglement: A Review of Metrics. IEEE Transactions on Neural Networks and Learning Systems. 35(7). 8747–8761. 26 indexed citations

Ferstl, Ylva, et al.. (2022). Exemplar-based Stylized Gesture Generation from Speech: An Entry to the GENEA Challenge 2022. 778–783. 8 indexed citations

Carbonneau, Marc‐André, et al.. (2022). A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 6562–6566. 66 indexed citations

Mudur, Sudhir P., et al.. (2021). Artist guided generation of video game production quality face textures. Computers & Graphics. 98. 268–279. 4 indexed citations

10.

Mudur, Sudhir P., et al.. (2020). Appearance Controlled Face Texture Generation for Video Game Characters. 1–11. 3 indexed citations

11.

Carbonneau, Marc‐André, et al.. (2017). Feature Learning from Spectrograms for Assessment of Personality Traits. IEEE Transactions on Affective Computing. 11(1). 25–31. 23 indexed citations

12.

Carbonneau, Marc‐André, Veronika Cheplygina, Éric Granger, & Ghyslain Gagnon. (2017). Multiple instance learning: A survey of problem characteristics and applications. Pattern Recognition. 77. 329–353. 435 indexed citations breakdown →

13.

Cardoso, M. Jorge, Tal Arbel, Simone Balocco, et al.. (2017). Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis. Lecture notes in computer science. 31 indexed citations

14.

Carbonneau, Marc‐André, Éric Granger, & Ghyslain Gagnon. (2016). Witness identification in multiple instance learning using random subspaces. Espace ÉTS (ETS). 5. 3639–3644. 5 indexed citations

15.

Carbonneau, Marc‐André, Éric Granger, Alexandre J. Raymond, & Ghyslain Gagnon. (2016). Robust multiple-instance learning ensembles using random subspace instance selection. Pattern Recognition. 58. 83–99. 38 indexed citations

16.

Carbonneau, Marc‐André, Alexandre J. Raymond, Éric Granger, & Ghyslain Gagnon. (2015). Real-time visual play-break detection in sport events using a context descriptor. 2808–2811. 6 indexed citations

17.

Carbonneau, Marc‐André, Ghyslain Gagnon, Robert Sabourin, & Jean Dubois. (2013). Recognition of blowing sound types for real-time implementation in mobile devices. 13. 1–4. 3 indexed citations

18.

Carbonneau, Marc‐André, et al.. (2012). Detection of alarms and warning signals on an digital in-ear device. International Journal of Industrial Ergonomics. 43(6). 503–511. 15 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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