Clara Suied

740 citations
25 papers · 410 · h-index 13

Impact in

Papers in

Clara Suied

23 papers receiving 396 citations

Peers

Clara Suied
Comparison fields: 5 of 70
  • Cognitive Neuroscience 251
  • Experimental and Cognitive Psychology 152
  • Sensory Systems 41
  • Human-Computer Interaction 39
  • Developmental Biology 15
Replace Verena G. Skuk with:
Verena G. Skuk Germany
Stephen Lakatos United States
Sébastien Stillittano France
Shuichi Sakamoto Japan
Shinya Saida Japan
Christophe Savariaux France
Eve Wilson United States
Kim S. Abouchacra United States
Takaaki Kuratate Japan
Joyce Vliegen Netherlands
Clara Suied relative to Verena G. Skuk Germany Verena G. Skuk's profile →
Citations per field
00.5×1.5×2.4×
Verena G. Skuk · 1×
Citations per year

Countries citing papers authored by Clara Suied

Since Specialization
Citations

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

Fields of papers citing papers by Clara Suied

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200865
2 200847
3 201246
4 201040
5 201435
6 201728
7 201320
8 202118
9 201714
10 201014
11 200914
12 201514
13 201612
14 201611
15 20157
16 20196
17
Auditory-visual virtual environments to treat dog phobia
20085
18 20134
19
Toward a sound design methodology: Application to electronic automotive sound
20054
20 20203

About Clara Suied

Clara Suied is a scholar working on Cognitive Neuroscience, Speech and Hearing, Signal Processing, Experimental and Cognitive Psychology and Sensory Systems, having authored 25 papers that have together received 410 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (11 papers), Neuroscience and Music Perception (7 papers), Noise Effects and Management (6 papers), Music and Audio Processing (5 papers), Multisensory perception and integration (4 papers), Neural dynamics and brain function (3 papers), Hearing, Cochlea, Tinnitus, Genetics (3 papers) and Speech and Audio Processing (3 papers). The work is most often cited by research in Cognitive Neuroscience (251 citations), Experimental and Cognitive Psychology (152 citations), Sensory Systems (41 citations), Human-Computer Interaction (39 citations) and Developmental Biology (15 citations). Clara Suied has collaborated with scholars based in France, Canada and United Kingdom. Frequent co-authors include Isabelle Viaud‐Delmon, Daniel Pressnitzer, Patrick Susini, Trevor Agus, Stephen McAdams, Nicolas Bonneel, Simon J. Thorpe, George Drettakis, Nima Mesgarani and Pascal Belin. Their work appears in journals such as The Journal of the Acoustical Society of America, Scientific Reports, PLoS ONE, ACM Transactions on Applied Perception and Biology.

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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