Stefan Bleeck

1.4k total citations
48 papers, 993 citations indexed

About

Stefan Bleeck is a scholar working on Cognitive Neuroscience, Signal Processing and Sensory Systems. According to data from OpenAlex, Stefan Bleeck has authored 48 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Cognitive Neuroscience, 27 papers in Signal Processing and 12 papers in Sensory Systems. Recurrent topics in Stefan Bleeck's work include Hearing Loss and Rehabilitation (40 papers), Speech and Audio Processing (20 papers) and Hearing, Cochlea, Tinnitus, Genetics (12 papers). Stefan Bleeck is often cited by papers focused on Hearing Loss and Rehabilitation (40 papers), Speech and Audio Processing (20 papers) and Hearing, Cochlea, Tinnitus, Genetics (12 papers). Stefan Bleeck collaborates with scholars based in United Kingdom, Germany and China. Stefan Bleeck's 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 and has published in prestigious journals such as Nature Neuroscience, Brain Research and Annals of the New York Academy of Sciences.

In The Last Decade

Stefan Bleeck

46 papers receiving 973 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Bleeck United Kingdom	14	888	359	166	165	133	48	993
Pierre L. Divenyi United States	16	859 1.0×	386 1.1×	200 1.2×	327 2.0×	288 2.2×	48	1.0k
Jérémy Marozeau Denmark	15	885 1.0×	302 0.8×	207 1.2×	227 1.4×	315 2.4×	66	986
Yoshitaka Nakajima Japan	19	840 0.9×	371 1.0×	34 0.2×	480 2.9×	73 0.5×	102	1.1k
Adrian Fourcin United Kingdom	18	560 0.6×	343 1.0×	93 0.6×	558 3.4×	118 0.9×	68	1.2k
Jens Hjortkjær Denmark	13	738 0.8×	312 0.9×	59 0.4×	125 0.8×	97 0.7×	30	850
Tom Francart Belgium	29	2.7k 3.1×	1.2k 3.4×	492 3.0×	301 1.8×	675 5.1×	132	3.0k
Alexandra Bendixen Germany	26	2.3k 2.6×	223 0.6×	90 0.5×	1.0k 6.3×	83 0.6×	87	2.4k
Kaibao Nie United States	19	1.1k 1.3×	415 1.2×	621 3.7×	101 0.6×	442 3.3×	46	1.4k
Étienne Gaudrain Netherlands	20	1.0k 1.1×	492 1.4×	170 1.0×	327 2.0×	322 2.4×	65	1.1k
B. C. J. Moore United Kingdom	12	888 1.0×	307 0.9×	507 3.1×	72 0.4×	513 3.9×	24	981

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 of co-authors of Stefan Bleeck

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zheng, Chengshi, et al.. (2021). Investigation of an MAA Test With Virtual Sound Synthesis. Frontiers in Psychology. 12. 656052–656052. 3 indexed citations

Monaghan, Jessica J. M., et al.. (2017). Auditory inspired machine learning techniques can improve speech intelligibility and quality for hearing-impaired listeners. The Journal of the Acoustical Society of America. 141(3). 1985–1998. 23 indexed citations

Goehring, Tobias, et al.. (2016). Speech enhancement based on neural networks improves speech intelligibility in noise for cochlear implant users. Hearing Research. 344. 183–194. 96 indexed citations

Ingham, Neil J., et al.. (2016). Enhancement of forward suppression begins in the ventral cochlear nucleus. Brain Research. 1639. 13–27. 12 indexed citations

Hu, Hongmei, et al.. (2015). Speech quality evaluation of a sparse coding shrinkage noise reduction algorithm with normal hearing and hearing impaired listeners. Hearing Research. 327. 175–185. 9 indexed citations

Fazi, Filippo Maria, et al.. (2015). Subjective Diffuseness in Layer-Based Loudspeaker Systems with Height. Journal of the Audio Engineering Society. 2 indexed citations

Wright, Matthew, Ian M. Winter, Jonathan J. Forster, & Stefan Bleeck. (2014). Response to best-frequency tone bursts in the ventral cochlear nucleus is governed by ordered inter-spike interval statistics. Hearing Research. 317. 23–32. 8 indexed citations

Monaghan, Jessica J. M., Stefan Bleeck, & David McAlpine. (2013). Sensitivity to envelope ITDs at high modulation rates. ePrints Soton (University of Southampton). 2 indexed citations

Viola, Filipa Campos, Maarten De Vos, Jemma E. Hine, et al.. (2012). Semi-automatic attenuation of cochlear implant artifacts for the evaluation of late auditory evoked potentials. Hearing Research. 284(1-2). 6–15. 52 indexed citations

10.

Hu, Hongmei, et al.. (2011). Enhanced SPARSE speech processing strategy for cochlear implants. UCL Discovery (University College London). 11 indexed citations

11.

Li, Guoping, Mark E. Lutman, Shouyan Wang, & Stefan Bleeck. (2011). Relationship between speech recognition in noise and sparseness. International Journal of Audiology. 51(2). 75–82. 10 indexed citations

12.

Viola, Filipa Campos, Jeremy D. Thorne, Stefan Bleeck, Julie Eyles, & Stefan Debener. (2011). Uncovering auditory evoked potentials from cochlear implant users with independent component analysis. Psychophysiology. 48(11). 1470–1480. 58 indexed citations

13.

Bleeck, Stefan, et al.. (2007). Human auditory nerve compound action potentials and long latency responses. Acta Oto-Laryngologica. 127(12). 1273–1282. 2 indexed citations

14.

Ingham, Neil J., Stefan Bleeck, & Ian M. Winter. (2006). Contralateral inhibitory and excitatory frequency response maps in the mammalian cochlear nucleus. European Journal of Neuroscience. 24(9). 2515–2529. 34 indexed citations

15.

Bleeck, Stefan, Mark Sayles, Neil J. Ingham, & Ian M. Winter. (2006). The time course of recovery from suppression and facilitation from single units in the mammalian cochlear nucleus. Hearing Research. 212(1-2). 176–184. 25 indexed citations

16.

Bleeck, Stefan, et al.. (2005). Contralateral single neuron receptive fields in the mammalian cochlear nucleus. ePrints Soton (University of Southampton). 1 indexed citations

17.

Bleeck, Stefan, et al.. (2005). Wideband suppression in cochlear nucleus: a role in grouping by common onset?. 52(5). 598–598. 4 indexed citations

18.

Schneider, Peter, Vanessa Sluming, Neil Roberts, et al.. (2005). Structural and functional asymmetry of lateral Heschl's gyrus reflects pitch perception preference. Nature Neuroscience. 8(9). 1241–1247. 231 indexed citations

19.

Bleeck, Stefan & Roy D. Patterson. (2003). A comprehensive model of sinusoidal and residue pitch. ePrints Soton (University of Southampton). 2 indexed citations

20.

Bleeck, Stefan, Roy D. Patterson, & Ian M. Winter. (2003). Using genetic algorithms to find the most effective stimulus for sensory neurons. Journal of Neuroscience Methods. 125(1-2). 73–82. 13 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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