Stefan Bleeck

1.4k citations
48 papers · 993 indexed · h-index 14

Stefan Bleeck

46 papers receiving 973 citations

Peers

Stefan Bleeck
Comparison fields: 5 of 61
  • Cognitive Neuroscience 888
  • Sensory Systems 166
  • Signal Processing 359
  • Speech and Hearing 133
  • Music 54
Replace Jérémy Marozeau with:
Jérémy Marozeau Denmark
Pierre L. Divenyi United States
Yoshitaka Nakajima Japan
Adrian Fourcin United Kingdom
Jens Hjortkjær Denmark
Alexandra Bendixen Germany
Étienne Gaudrain Netherlands
Tom Francart Belgium
Kaibao Nie United States
Xavier Perrot France
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Citations per field
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Jérémy Marozeau · 1×
Citations per year

Countries citing papers authored by Stefan Bleeck

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Bleeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20213
2 201723
3 201696
4 201612
5 20159
6
Subjective Diffuseness in Layer-Based Loudspeaker Systems with Height
20152
7 20148
8
Sensitivity to envelope ITDs at high modulation rates
20132
9 201252
10
Enhanced SPARSE speech processing strategy for cochlear implants
201111
11 201110
12 201158
13 20072
14 200634
15 200625
16
Contralateral single neuron receptive fields in the mammalian cochlear nucleus
20051
17
Wideband suppression in cochlear nucleus: a role in grouping by common onset?
20054
18 2005231
19
A comprehensive model of sinusoidal and residue pitch
20032
20 200313

About Stefan Bleeck

Stefan Bleeck is a scholar working on Signal Processing, Sensory Systems, Cognitive Neuroscience, Speech and Hearing and Computational Mechanics, having authored 48 papers that have together received 993 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (40 papers), Speech and Audio Processing (20 papers), Hearing, Cochlea, Tinnitus, Genetics (12 papers), Advanced Adaptive Filtering Techniques (11 papers), Noise Effects and Management (10 papers), Acoustic Wave Phenomena Research (8 papers), Neural dynamics and brain function (7 papers) and Neuroscience and Music Perception (7 papers). The work is most often cited by research in Cognitive Neuroscience (888 citations), Sensory Systems (166 citations), Signal Processing (359 citations), Speech and Hearing (133 citations) and Music (54 citations). Stefan Bleeck has collaborated with scholars based in United Kingdom, Germany and China. Frequent co-authors include Stefan Debener, Julie Eyles, Peter Schneider, Vanessa Sluming, André Rupp, Neil Roberts, Jessica J. M. Monaghan, Jemma E. Hine, Tobias Goehring and Ian M. Winter. Their work appears in journals such as The Journal of the Acoustical Society of America, Hearing Research, International Journal of Audiology, Trends in Hearing and Psychophysiology.

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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