Daniel Pressnitzer

4.2k citations
90 papers · 2.8k · h-index 32

Impact in

    • Hearing Loss and Rehabilitation
    • Neuroscience and Music Perception
    • Neural dynamics and brain function
    • Visual perception and processing mechanisms
    • Hearing, Cochlea, Tinnitus, Genetics

Papers in

    • Neuroscience and Music Perception 51
    • Hearing Loss and Rehabilitation 48
    • Neural dynamics and brain function 33
    • Visual perception and processing mechanisms 9
    • Music and Audio Processing 18
    • Speech and Audio Processing 11

Daniel Pressnitzer

86 papers receiving 2.8k citations

Peers

Daniel Pressnitzer
Comparison fields: 5 of 105
  • Cognitive Neuroscience 2.4k
  • Sensory Systems 347
  • Developmental Biology 149
  • Speech and Hearing 336
  • Experimental and Cognitive Psychology 705
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Pressnitzer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pressnitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006248
2 2008180
3 2010148
4 2001143
5 2000124
6 2012116
7 200192
8 202185
9 200385
10 201277
11 200868
12 200666
13 201764
14 201260
15 201256
16 200551
17 201148
18 200647
19 201543
20 199943

About Daniel Pressnitzer

Daniel Pressnitzer is a scholar working on Cognitive Neuroscience, Signal Processing, Experimental and Cognitive Psychology, Speech and Hearing and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (51 papers), Hearing Loss and Rehabilitation (48 papers), Neural dynamics and brain function (33 papers), Music and Audio Processing (18 papers), Multisensory perception and integration (13 papers), Noise Effects and Management (11 papers), Speech and Audio Processing (11 papers) and Visual perception and processing mechanisms (9 papers). The work is most often cited by research in Cognitive Neuroscience (2.4k citations), Sensory Systems (347 citations), Developmental Biology (149 citations), Speech and Hearing (336 citations) and Experimental and Cognitive Psychology (705 citations). Daniel Pressnitzer has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Jean‐Michel Hupé, Trevor Agus, Ian M. Winter, Roy D. Patterson, Katrin Krumbholz, Simon J. Thorpe, Christophe Micheyl, Laurent Demany, Mark Sayles and Clara Suied. Their work appears in journals such as The Journal of the Acoustical Society of America, Current Biology, PLoS Computational Biology, Hearing Research and Nature Communications.

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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