Nicolas d’Alessandro

538 citations
36 papers · 261 · h-index 9

Impact in

Papers in

Nicolas d’Alessandro

35 papers receiving 234 citations

Peers

Nicolas d’Alessandro
Comparison fields: 5 of 42
  • Signal Processing 146
  • Human-Computer Interaction 47
  • Computer Vision and Pattern Recognition 105
  • Artificial Intelligence 117
  • Experimental and Cognitive Psychology 42
Replace Julien Pinquier with:
Julien Pinquier France
Denis Beautemps France
Shinji Sako Japan
Olivier Deroo Belgium
Laura Docío-Fernández Spain
Panikos Heracleous Japan
David Gerhard Canada
Akira Sasou Japan
Sorin Dusan United States
France Mihelič Slovenia
Nicolas d’Alessandro relative to Julien Pinquier France Julien Pinquier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nicolas d’Alessandro

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas d’Alessandro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas d’Alessandro. 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 Nicolas d’Alessandro. The network helps show where Nicolas d’Alessandro may publish in the future.

Co-authors

The 25 scholars most cited alongside Nicolas d’Alessandro, 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 Nicolas d’Alessandro Line = papers co-authored together Nicolas d’Alessandro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 201429
3 200716
4 200615
5 201314
6 201214
7 200712
8 201511
9 201111
10 20098
11 20157
12 20147
13 20086
14
Voice source parameters estimation by fitting the glottal formant and the inverse filtering open phase
20086
15 20086
16 20135
17
VUZIK: A PAINTING GRAPHIC SCORE INTERFACE FOR COMPOSING AND CONTROL OF SOUND GENERATION
20124
18 20114
19 20163
20 20053

About Nicolas d’Alessandro

Nicolas d’Alessandro is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Human-Computer Interaction and Cognitive Neuroscience, having authored 36 papers that have together received 261 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Music and Audio Processing (15 papers), Music Technology and Sound Studies (14 papers), Speech and Audio Processing (13 papers), Interactive and Immersive Displays (5 papers), Human Motion and Animation (5 papers), Human Pose and Action Recognition (4 papers) and Neuroscience and Music Perception (4 papers). The work is most often cited by research in Signal Processing (146 citations), Human-Computer Interaction (47 citations), Computer Vision and Pattern Recognition (105 citations), Artificial Intelligence (117 citations) and Experimental and Cognitive Psychology (42 citations). Nicolas d’Alessandro has collaborated with scholars based in Belgium, Canada and France. Frequent co-authors include Thierry Dutoit, Thomas Drugman, Nathalie Henrich Bernardoni, Joëlle Tilmanne, Alexis Moinet, Boris Doval, Stéphane Dupont, Christophe d’Alessandro, Matt Jones and Steve Whittaker. Their work appears in journals such as Journal on Multimodal User Interfaces, European Signal Processing Conference, NPARC, Edinburgh Research Explorer (University of Edinburgh) and arXiv (Cornell University).

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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