Daniel Pressnitzer

4.2k total citations
83 papers, 2.5k citations indexed

About

Daniel Pressnitzer is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel Pressnitzer has authored 83 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Cognitive Neuroscience, 21 papers in Signal Processing and 15 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel Pressnitzer's work include Neuroscience and Music Perception (49 papers), Hearing Loss and Rehabilitation (45 papers) and Neural dynamics and brain function (32 papers). Daniel Pressnitzer is often cited by papers focused on Neuroscience and Music Perception (49 papers), Hearing Loss and Rehabilitation (45 papers) and Neural dynamics and brain function (32 papers). Daniel Pressnitzer collaborates with scholars based in France, United Kingdom and United States. Daniel Pressnitzer's 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 Stephen McAdams and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Daniel Pressnitzer

80 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Pressnitzer France 30 2.2k 608 399 342 333 83 2.5k
Peter Cariani United States 19 1.5k 0.7× 411 0.7× 266 0.7× 306 0.9× 167 0.5× 53 1.8k
Mounya Elhilali United States 28 3.1k 1.4× 869 1.4× 841 2.1× 392 1.1× 356 1.1× 121 3.9k
Simon Carlile Australia 32 2.0k 0.9× 852 1.4× 604 1.5× 547 1.6× 811 2.4× 90 2.5k
Kourosh Saberi United States 25 1.7k 0.8× 714 1.2× 265 0.7× 306 0.9× 355 1.1× 65 2.0k
Pavel Zahorik United States 18 1.5k 0.7× 582 1.0× 526 1.3× 189 0.6× 602 1.8× 67 1.9k
Jan W. H. Schnupp United Kingdom 38 3.1k 1.4× 783 1.3× 291 0.7× 691 2.0× 199 0.6× 119 3.6k
Emily M. Owens United States 7 869 0.4× 255 0.4× 464 1.2× 201 0.6× 245 0.7× 11 1.5k
Stefan Uppenkamp Germany 20 1.9k 0.8× 500 0.8× 230 0.6× 407 1.2× 241 0.7× 54 2.0k
Brad Rakerd United States 20 974 0.4× 364 0.6× 406 1.0× 250 0.7× 511 1.5× 68 1.3k
Gavin M. Bidelman United States 38 4.5k 2.0× 1.6k 2.7× 506 1.3× 706 2.1× 532 1.6× 160 4.9k

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-authorship network of co-authors of Daniel Pressnitzer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Pressnitzer. A scholar is included among the top collaborators of Daniel Pressnitzer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Pressnitzer. Daniel Pressnitzer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rajendran, Vani G., et al.. (2025). Memory for repeated auditory textures. Cognition. 268. 106350–106350. 1 indexed citations
2.
Pressnitzer, Daniel, et al.. (2024). Reference Data for a Quick Speech-in-Noise Hearing Test in the French Language. Audiology and Neurotology. 29(5). 382–397.
3.
Pressnitzer, Daniel, et al.. (2023). Retrospective cueing mediates flexible conscious access to past spoken words.. Journal of Experimental Psychology Human Perception & Performance. 49(7). 949–967.
4.
Sergent, Claire, Martina Corazzol, Mark Wexler, et al.. (2021). Bifurcation in brain dynamics reveals a signature of conscious processing independent of report. Nature Communications. 12(1). 1149–1149. 81 indexed citations
5.
Kondo, Hirohito M., Daniel Pressnitzer, Yasuhiro Shimada, Takanori Kochiyama, & Makio Kashino. (2018). Inhibition-excitation balance in the parietal cortex modulates volitional control for auditory and visual multistability. Scientific Reports. 8(1). 14548–14548. 24 indexed citations
6.
Akram, Sahar, et al.. (2017). Prior context in audition informs binding and shapes simple features. Nature Communications. 8(1). 15027–15027. 39 indexed citations
7.
Supek, Selma, et al.. (2016). Insights on the Neuromagnetic Representation of Temporal Asymmetry in Human Auditory Cortex. PLoS ONE. 11(4). e0153947–e0153947. 2 indexed citations
8.
Occelli, Florent, Clara Suied, Daniel Pressnitzer, Jean‐Marc Edeline, & Boris Gourévitch. (2015). A Neural Substrate for Rapid Timbre Recognition? Neural and Behavioral Discrimination of Very Brief Acoustic Vowels. Cerebral Cortex. 26(6). 2483–2496. 13 indexed citations
9.
Andrillon, Thomas, Sid Kouider, Trevor Agus, & Daniel Pressnitzer. (2015). Perceptual Learning of Acoustic Noise Generates Memory-Evoked Potentials. Current Biology. 25(21). 2823–2829. 41 indexed citations
10.
Martin, Jean‐Rémy, Guillaume Dezecache, Daniel Pressnitzer, et al.. (2014). Perceptual hysteresis as a marker of perceptual inflexibility in schizophrenia. Consciousness and Cognition. 30. 62–72. 7 indexed citations
11.
Carcagno, Samuele, et al.. (2014). What is a melody? On the relationship between pitch and brightness of timbre. Frontiers in Systems Neuroscience. 7. 127–127. 17 indexed citations
12.
Kondo, Hirohito M., Iwaki Toshima, Daniel Pressnitzer, & Makio Kashino. (2014). Probing the time course of head-motion cues integration during auditory scene analysis. Frontiers in Neuroscience. 8. 170–170. 3 indexed citations
13.
Suied, Clara, Trevor Agus, Simon J. Thorpe, & Daniel Pressnitzer. (2013). Processing of Short Auditory Stimuli: The Rapid Audio Sequential Presentation Paradigm (RASP). Advances in experimental medicine and biology. 787. 443–451. 4 indexed citations
14.
Joly, Olivier, Christophe Pallier, Franck Ramus, et al.. (2012). Processing of vocalizations in humans and monkeys: A comparative fMRI study. NeuroImage. 62(3). 1376–1389. 55 indexed citations
15.
Pressnitzer, Daniel & Jean‐Michel Hupé. (2006). Temporal Dynamics of Auditory and Visual Bistability Reveal Common Principles of Perceptual Organization. Current Biology. 16(13). 1351–1357. 228 indexed citations
16.
Pressnitzer, Daniel & Dan Gnansia. (2005). REAL-TIME AUDITORY MODELS. The Journal of the Abraham Lincoln Association. 2005. 3 indexed citations
17.
Pressnitzer, Daniel, et al.. (2005). Music to Electric Ears: Pitch and Timbre Perception by Cochlear Implant Patients. Annals of the New York Academy of Sciences. 1060(1). 343–345. 33 indexed citations
18.
Meddis, Ray, Roel Delahaye, Lowel P. O’Mard, et al.. (2002). A model of signal processing in the cochlear nucleus: comodulation masking release. HAL (Le Centre pour la Communication Scientifique Directe). 8 indexed citations
19.
Pressnitzer, Daniel, Ian M. Winter, & Roy D. Patterson. (2000). The responses of single units in the ventral cochlear nucleus of the guinea pig to damped and ramped sinusoids. Hearing Research. 149(1-2). 155–166. 26 indexed citations
20.
Pressnitzer, Daniel, et al.. (2000). Perception of musical tension for nontonal orchestral timbres and its relation to psychoacoustic roughness. Perception & Psychophysics. 62(1). 66–80. 34 indexed citations

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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