Markus Noisternig

928 citations
34 papers · 496 · h-index 14

Impact in

Papers in

Markus Noisternig

34 papers receiving 441 citations

Peers

Markus Noisternig
Comparison fields: 5 of 63
  • Signal Processing 281
  • Cognitive Neuroscience 360
  • Speech and Hearing 83
  • Human-Computer Interaction 35
  • Computer Vision and Pattern Recognition 111
Replace Matthias Geier with:
Matthias Geier Germany
Fabian Brinkmann Germany
Tim Brookes United Kingdom
Hagen Wierstorf Germany
Bill Gardner United States
Gary S. Kendall United Kingdom
Christoph Pörschmann Germany
Johannes M. Arend Germany
Lukas Aspöck Germany
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Markus Noisternig relative to Matthias Geier Germany Matthias Geier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Markus Noisternig

Since Specialization
Citations

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

Fields of papers citing papers by Markus Noisternig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A 3D Ambisonic Based Binaural Sound Reproduction System
200362
2 201454
3 201148
4 200344
5 201140
6 201330
7 201724
8 201522
9 202219
10 201516
11 202115
12 201014
13 202013
14 202013
15 200312
16
An Objective Model of Localisation in Binaural Sound Reproduction Systems
20029
17 20208
18 20106
19 20165
20 20175

About Markus Noisternig

Markus Noisternig is a scholar working on Cognitive Neuroscience, Signal Processing, Biomedical Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 34 papers that have together received 496 indexed citations. Recurring topics across this work include Speech and Audio Processing (19 papers), Hearing Loss and Rehabilitation (17 papers), Acoustic Wave Phenomena Research (13 papers), Music Technology and Sound Studies (7 papers), Music and Audio Processing (5 papers), Tactile and Sensory Interactions (5 papers), Advanced Adaptive Filtering Techniques (5 papers) and Noise Effects and Management (4 papers). The work is most often cited by research in Signal Processing (281 citations), Cognitive Neuroscience (360 citations), Speech and Hearing (83 citations), Human-Computer Interaction (35 citations) and Computer Vision and Pattern Recognition (111 citations). Markus Noisternig has collaborated with scholars based in France, Austria and United Kingdom. Frequent co-authors include Robert Höldrich, Alois Sontacchi, Brian F. G. Katz, Franz Zotter, Olivier Warusfel, Thibaut Carpentier, P. Masse, Piotr Majdak, Michael Vorländer and Markus Müller-Trapet. Their work appears in journals such as The Journal of the Acoustical Society of America, Acta acustica united with Acustica, Dance Research, Green Chemistry and IEEE Journal of Selected Topics in Signal Processing.

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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