Arnaud Joly

2.2k total citations
12 papers, 109 citations indexed

About

Arnaud Joly is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Arnaud Joly has authored 12 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Arnaud Joly's work include Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Arnaud Joly is often cited by papers focused on Speech Recognition and Synthesis (4 papers), Speech and Audio Processing (2 papers) and Music and Audio Processing (2 papers). Arnaud Joly collaborates with scholars based in France, Belgium and United States. Arnaud Joly's co-authors include Alexis Moinet, Thomas Drugman, Pierre Geurts, Louis Wehenkel, Adelin Albert, Cécile Oury, Christelle Lecut, Natacha Kadlub, Arnaud Picard and Nathalie Maes and has published in prestigious journals such as Intensive Care Medicine Experimental, Archives de Pédiatrie and Journal of Stomatology Oral and Maxillofacial Surgery.

In The Last Decade

Arnaud Joly

11 papers receiving 100 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Arnaud Joly France	6	63	37	11	10	9	12	109
Jiwei Li China	8	45 0.7×	7 0.2×	11 1.0×	17 1.7×	3 0.3×	23	153
Derek Tam United States	7	62 1.0×	6 0.2×	6 0.5×	17 1.7×	5 0.6×	11	123
Ashish Arora United States	6	41 0.7×	19 0.5×	16 1.5×	33 3.3×		12	83
Kimberly Villalobos Carballo United States	2	65 1.0×	4 0.1×	14 1.3×	7 0.7×	1 0.1×	2	147
Rizwan Rehman India	4	91 1.4×	3 0.1×	3 0.3×	14 1.4×	3 0.3×	12	185
Thierry Chekouo United States	9	35 0.6×	5 0.1×	9 0.8×	8 0.8×		27	169
Arnold Smeulders Netherlands	7	23 0.4×	7 0.2×	8 0.7×	54 5.4×		15	134
Samuel Chapman United States	5	54 0.9×	4 0.1×	13 1.2×	18 1.8×	3 0.3×	7	113
Yonghui Wu China	6	32 0.5×	6 0.2×	3 0.3×	56 5.6×		27	129
Zhehui Chen China	7	15 0.2×	3 0.1×	5 0.5×	13 1.3×		30	138

Countries citing papers authored by Arnaud Joly

Since Specialization

Citations

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

Fields of papers citing papers by Arnaud Joly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Joly

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

All Works

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12 of 12 papers shown

Tobing, Patrick Lumban, et al.. (2024). Mapache: Masked Parallel Transformer for Advanced Speech Editing and Synthesis. 10691–10695. 1 indexed citations

Joly, Arnaud, et al.. (2023). Controllable Emphasis with zero data for text-to-speech. 113–119.

Makarov, Peter, et al.. (2022). Simple and Effective Multi-sentence TTS with Expressive and Coherent Prosody. Interspeech 2022. 3368–3372. 5 indexed citations

Bollepalli, Bajibabu, et al.. (2022). Distribution Augmentation for Low-Resource Expressive Text-To-Speech. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8307–8311. 6 indexed citations

Moinet, Alexis, et al.. (2020). CopyCat: Many-to-Many Fine-Grained Prosody Transfer for Neural Text-to-Speech. arXiv (Cornell University). 4387–4391. 43 indexed citations

Chollat, Clément, Arnaud Joly, Estelle Houivet, Jacques Bénichou, & Stéphane Marret. (2019). School-age human figure drawings by very preterm infants: Validity of the Draw-a-Man test to detect behavioral and cognitive disorders. Archives de Pédiatrie. 26(4). 220–225. 4 indexed citations

Joly, Arnaud, et al.. (2017). Globally Induced Forest: A Prepruning Compression Scheme. International Conference on Machine Learning. 70. 420–428. 5 indexed citations

Layios, Nathalie, Céline Delierneux, Alexandre Hego, et al.. (2017). Sepsis prediction in critically ill patients by platelet activation markers on ICU admission: a prospective pilot study. Intensive Care Medicine Experimental. 5(1). 32–32. 22 indexed citations

Kadlub, Natacha, et al.. (2017). Speech evaluation after intravelar veloplasty. How to use Borel-Maisonny classification in the international literature?. Journal of Stomatology Oral and Maxillofacial Surgery. 119(2). 107–109. 9 indexed citations

10.

Sutera, Antonio, Arnaud Joly, Vincent François-Lavet, et al.. (2014). Simple connectome inference from partial correlation statistics in calcium imaging. Open Repository and Bibliography (University of Liège). 23–35. 3 indexed citations

11.

Joly, Arnaud, et al.. (2012). L1-based compression of random forest models. Open Repository and Bibliography (University of Liège). 10 indexed citations

12.

Joly, Arnaud, et al.. (2008). How will Ultrabroadband Services Penetrate All Home Terminals. SSRN Electronic Journal. 1 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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