Bernhard Laback

50 papers receiving 1.2k citations

Peers

Bernhard Laback
Comparison fields: 5 of 52
  • Sensory Systems 481
  • Speech and Hearing 541
  • Cognitive Neuroscience 1.1k
  • Signal Processing 526
  • Experimental and Cognitive Psychology 135
Replace Piotr Majdak with:
Piotr Majdak Austria
Volker Hohmann Germany
Adrianus J. M. Houtsma United States
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Robert A. Lutfi United States
Aleksander Sęk Poland
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Bernhard Laback relative to Piotr Majdak Austria Piotr Majdak's profile →
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Citations per year

Countries citing papers authored by Bernhard Laback

Since Specialization
Citations

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

Fields of papers citing papers by Bernhard Laback

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Bernhard Laback, 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 Bernhard Laback Line = papers co-authored together Bernhard Laback links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004109
2
Multiple Exponential Sweep Method for Fast Measurement of Head-Related Transfer Functions
2007105
3 2014105
4 2010102
5 201497
6 200678
7 200763
8 200862
9 201056
10 201347
11 200947
12 201146
13 201438
14 201026
15 201526
16 201325
17 200923
18 201122
19 200821
20 200921

About Bernhard Laback

Bernhard Laback is a scholar working on Cognitive Neuroscience, Signal Processing, Sensory Systems, Speech and Hearing and Biomedical Engineering, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (52 papers), Speech and Audio Processing (29 papers), Hearing, Cochlea, Tinnitus, Genetics (23 papers), Noise Effects and Management (21 papers), Acoustic Wave Phenomena Research (8 papers), Neuroscience and Music Perception (6 papers), Multisensory perception and integration (6 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Sensory Systems (481 citations), Speech and Hearing (541 citations), Cognitive Neuroscience (1.1k citations), Signal Processing (526 citations) and Experimental and Cognitive Psychology (135 citations). Bernhard Laback has collaborated with scholars based in Austria, France and United States. Frequent co-authors include Piotr Majdak, Wolf‐Dieter Baumgartner, Matthew J. Goupell, Robert Baumgartner, Péter Balázs, Werner Deutsch, Georg Eckel, Virginia Best, Bertrand Delgutte and Mathias Dietz. Their work appears in journals such as The Journal of the Acoustical Society of America, Trends in Hearing, Journal of the Association for Research in Otolaryngology, Ear and Hearing and Proceedings of the National Academy of Sciences.

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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