Lukas Aspöck

39 papers receiving 279 citations

Peers

Lukas Aspöck
Comparison fields: 5 of 47
  • Speech and Hearing 119
  • Signal Processing 121
  • Cognitive Neuroscience 178
  • Human-Computer Interaction 16
  • Experimental and Cognitive Psychology 29
Replace Matthias Geier with:
Matthias Geier Germany
Bill Gardner United States
Johannes M. Arend Germany
Ewa Skrodzka Poland
Markus Noisternig France
Bosun Xie China
Bruno Masiero Brazil
David Griesinger United States
Kazuhiro Iida Japan
Alois Sontacchi Austria
Lukas Aspöck relative to Matthias Geier Germany Matthias Geier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lukas Aspöck

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Aspöck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201984
2 201427
3 201823
4 202121
5 202120
6 201414
7 202011
8 202110
9 20148
10 20247
11 20206
12 20235
13 20195
14 20244
15 20184
16
Performance Evaluation of a Dynamic Crosstalk-Cancellation System with Compensation of Early Reflections
20164
17
Development of a questionnaire to investigate immersion of virtual acoustic environments
20164
18
Investigating the immersion of reproduction techniques for room auralizations
20163
19 20183
20 20223

About Lukas Aspöck

Lukas Aspöck is a scholar working on Cognitive Neuroscience, Speech and Hearing, Signal Processing, Biomedical Engineering and Automotive Engineering, having authored 40 papers that have together received 299 indexed citations. Recurring topics across this work include Hearing Loss and Rehabilitation (22 papers), Noise Effects and Management (16 papers), Speech and Audio Processing (13 papers), Acoustic Wave Phenomena Research (9 papers), Virtual Reality Applications and Impacts (3 papers), Vehicle Noise and Vibration Control (3 papers), 3D Surveying and Cultural Heritage (3 papers) and Tactile and Sensory Interactions (3 papers). The work is most often cited by research in Speech and Hearing (119 citations), Signal Processing (121 citations), Cognitive Neuroscience (178 citations), Human-Computer Interaction (16 citations) and Experimental and Cognitive Psychology (29 citations). Lukas Aspöck has collaborated with scholars based in Germany, Switzerland and Belgium. Frequent co-authors include Michael Vorländer, David Ackermann, Fabian Brinkmann, Stefan Weinzierl, Janina Fels, Steffen Lepa, Dirk Schröder, Sabine J. Schlittmeier, Andrea Bönsch and Michael Kohnen. Their work appears in journals such as The Journal of the Acoustical Society of America, Acta acustica united with Acustica, Frontiers in Psychology, Applied Acoustics and Journal of Speech Language and Hearing Research.

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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