Eric Castelli

1.0k citations
46 papers · 515 · h-index 11

Impact in

Papers in

Eric Castelli

41 papers receiving 454 citations

Peers

Eric Castelli
Comparison fields: 5 of 71
  • Signal Processing 192
  • Experimental and Cognitive Psychology 167
  • Linguistics and Language 37
  • Artificial Intelligence 233
  • Computer Vision and Pattern Recognition 103
Replace Zhanjiang Song with:
Zhanjiang Song China
Michael Pucher Austria
Xiaodan Zhuang United States
Malika Boudraa Algeria
Mohammad Inayatullah Babar Pakistan
S. Narayanan United States
Yue Xie China
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Citations per field
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Citations per year

Countries citing papers authored by Eric Castelli

Since Specialization
Citations

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

Fields of papers citing papers by Eric Castelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200686
2 199673
3 201761
4 202249
5 200232
6 200516
7 202014
8 200714
9 201413
10 200413
11 199213
12
Using a priori information for speaker diarization.
200410
13
Description of the flow through in-vitro models of the glottis during phonation : application to voiced sounds synthesis
199510
14
Towards the automatic processing of Yongning Na (Sino-Tibetan): developing a 'light' acoustic model of the target language and testing 'heavyweight' models from five national languages
20148
15 20088
16 20088
17 20067
18 20137
19 20206
20 20136

About Eric Castelli

Eric Castelli is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology, Signal Processing, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 46 papers that have together received 515 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Phonetics and Phonology Research (17 papers), Speech and Audio Processing (16 papers), Natural Language Processing Techniques (7 papers), Indoor and Outdoor Localization Technologies (7 papers), Speech and dialogue systems (5 papers), Music and Audio Processing (5 papers) and Smart Parking Systems Research (3 papers). The work is most often cited by research in Signal Processing (192 citations), Experimental and Cognitive Psychology (167 citations), Linguistics and Language (37 citations), Artificial Intelligence (233 citations) and Computer Vision and Pattern Recognition (103 citations). Eric Castelli has collaborated with scholars based in France, Vietnam and United States. Frequent co-authors include Gang Feng, Laurent Besacier, Jean-François Sérignat, Dan Istrate, Michel Vacher, Dominique Vaufreydaz, Trung‐Kien Dao, Laurent Besacier, Georges Quénot and Xuan Hung Le. Their work appears in journals such as The Journal of the Acoustical Society of America, Sensors, Speech Communication, IEEE Access and Journal of Phonetics.

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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