David Ackermann

30 papers receiving 341 citations

Peers

David Ackermann
Comparison fields: 5 of 73
  • Human-Computer Interaction 77
  • Speech and Hearing 59
  • Signal Processing 94
  • Cognitive Neuroscience 119
  • Management of Technology and Innovation 24
Replace Amalia de Götzen with:
Amalia de Götzen Denmark
Stephen Barrass Australia
Rob Ingram United Kingdom
Minsuk Chang South Korea
Dušan Starčević Serbia
Angela Boltman United States
Željko Obrenović Netherlands
Simone Ashby Portugal
Teresa Romão Portugal
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Citations per field
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Amalia de Götzen · 1×
Citations per year

Countries citing papers authored by David Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by David Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside David Ackermann, 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 David Ackermann Line = papers co-authored together David Ackermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991121
2
Mental Models and Human Computer Interaction I
199086
3 201984
4 202121
5 201818
6 202011
7 198810
8 20199
9 20208
10 20216
11 19866
12 20184
13 20214
14 19873
15
Die Fünf-Finger-Maus: Eine Fallstudie zur Synthese von Hardware, Software und Psychologie
19853
16 20183
17 20203
18 20172
19 20182
20 20242

About David Ackermann

David Ackermann is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience, Signal Processing, Biomedical Engineering and Speech and Hearing, having authored 31 papers that have together received 420 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (8 papers), Hearing Loss and Rehabilitation (7 papers), Acoustic Wave Phenomena Research (6 papers), Speech and Audio Processing (6 papers), Noise Effects and Management (5 papers), Diverse Musicological Studies (3 papers), Music and Audio Processing (2 papers) and Digital Innovation in Industries (2 papers). The work is most often cited by research in Human-Computer Interaction (77 citations), Speech and Hearing (59 citations), Signal Processing (94 citations), Cognitive Neuroscience (119 citations) and Management of Technology and Innovation (24 citations). David Ackermann has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Michael J. Tauber, Stefan Weinzierl, Fabian Brinkmann, Steffen Lepa, Michael Vorländer, Lukas Aspöck, Eberhard Ulich, Christoph Böhm, Jürg Nievergelt and Martin Schneider. Their work appears in journals such as Journal of the Audio Engineering Society, The Journal of the Acoustical Society of America, Acta acustica united with Acustica, Applied Acoustics and EURASIP Journal on Audio Speech and Music 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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