Norbert Dillier

99 papers receiving 2.5k citations

Peers

Norbert Dillier
Comparison fields: 5 of 94
  • Sensory Systems 716
  • Cognitive Neuroscience 1.9k
  • Otorhinolaryngology 371
  • Speech and Hearing 362
  • Signal Processing 509
Replace G. M. Clark with:
G. M. Clark Australia
Margaret W. Skinner United States
Charles C. Finley United States
Andreas Büchner Germany
C. Elberling Denmark
Patricia G. Stelmachowicz United States
Donald K. Eddington United States
Laura K. Holden United States
Stanley A. Gelfand United States
Jan Kiefer Germany
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Citations per field
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G. M. Clark · 1×
Citations per year

Countries citing papers authored by Norbert Dillier

Since Specialization
Citations

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

Fields of papers citing papers by Norbert Dillier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004232
2 2012207
3 2004162
4 2010104
5 2005101
6 200296
7 200194
8 200990
9 200186
10 201576
11 201073
12 200070
13 200963
14 197863
15 200761
16 200159
17 200658
18 201255
19 199847
20 201740

About Norbert Dillier

Norbert Dillier is a scholar working on Cognitive Neuroscience, Signal Processing, Sensory Systems, Computational Mechanics and Biomedical Engineering, having authored 107 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (83 papers), Speech and Audio Processing (37 papers), Hearing, Cochlea, Tinnitus, Genetics (19 papers), Advanced Adaptive Filtering Techniques (12 papers), Noise Effects and Management (11 papers), Acoustic Wave Phenomena Research (11 papers), Ear Surgery and Otitis Media (7 papers) and Structural Health Monitoring Techniques (6 papers). The work is most often cited by research in Sensory Systems (716 citations), Cognitive Neuroscience (1.9k citations), Otorhinolaryngology (371 citations), Speech and Hearing (362 citations) and Signal Processing (509 citations). Norbert Dillier has collaborated with scholars based in Switzerland, Germany and Australia. Frequent co-authors include Wai Kong Lai, Martin Kompis, Alexander Huber, Andrea Kegel, Martin Meyer, Pascale Sandmann, Lutz Jäncke, Tom Eichele, Stefan Debener and J. Müller-Deile. Their work appears in journals such as International Journal of Audiology, The Journal of the Acoustical Society of America, Cochlear Implants International, Otology & Neurotology and Acta Oto-Laryngologica.

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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