David Poeppel

43.3k total citations · 15 hit papers
273 papers, 26.7k citations indexed

About

David Poeppel is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, David Poeppel has authored 273 papers receiving a total of 26.7k indexed citations (citations by other indexed papers that have themselves been cited), including 220 papers in Cognitive Neuroscience, 93 papers in Experimental and Cognitive Psychology and 55 papers in Signal Processing. Recurrent topics in David Poeppel's work include Neuroscience and Music Perception (135 papers), Neural dynamics and brain function (107 papers) and Multisensory perception and integration (62 papers). David Poeppel is often cited by papers focused on Neuroscience and Music Perception (135 papers), Neural dynamics and brain function (107 papers) and Multisensory perception and integration (62 papers). David Poeppel collaborates with scholars based in United States, Germany and Japan. David Poeppel's co-authors include Gregory Hickok, Anne-Lise Giraud, Virginie van Wassenhove, Huan Luo, Colin Phillips, Ellen Lau, Ken W. Grant, Gregory Hickok, Xing Tian and Keith B. Doelling and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

David Poeppel

261 papers receiving 26.1k citations

Hit Papers

The cortical organization... 2000 2026 2008 2017 2007 2004 2012 2008 2003 1000 2.0k 3.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Poeppel 22.6k 8.5k 5.9k 2.9k 2.1k 273 26.7k
Steven A. Hillyard 41.6k 1.8× 12.1k 1.4× 5.4k 0.9× 3.6k 1.2× 745 0.4× 225 45.3k
Gregory Hickok 13.7k 0.6× 5.0k 0.6× 5.5k 0.9× 2.9k 1.0× 465 0.2× 186 16.0k
Angela D. Friederici 33.8k 1.5× 9.8k 1.1× 19.9k 3.4× 5.5k 1.9× 1.3k 0.6× 598 41.2k
Emanuel Donchin 37.7k 1.7× 7.5k 0.9× 4.2k 0.7× 4.9k 1.7× 1.7k 0.8× 220 42.9k
Robert J. Zatorre 32.1k 1.4× 11.7k 1.4× 3.9k 0.7× 7.6k 2.6× 2.6k 1.2× 325 39.0k
Riitta Hari 27.0k 1.2× 5.7k 0.7× 3.0k 0.5× 5.6k 1.9× 1.8k 0.8× 415 33.9k
Richard Ν. Aslin 10.4k 0.5× 7.8k 0.9× 12.9k 2.2× 1.5k 0.5× 1.4k 0.7× 242 22.4k
Risto Näätänen 41.5k 1.8× 16.5k 1.9× 5.8k 1.0× 2.5k 0.9× 3.9k 1.9× 402 45.5k
Nancy Kanwisher 39.0k 1.7× 9.3k 1.1× 4.9k 0.8× 6.8k 2.3× 300 0.1× 284 44.4k
Marta Kutas 30.3k 1.3× 8.7k 1.0× 14.3k 2.4× 4.0k 1.4× 683 0.3× 239 34.1k

Countries citing papers authored by David Poeppel

Since Specialization
Citations

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

Fields of papers citing papers by David Poeppel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Poeppel

This figure shows the co-authorship network connecting the top 25 collaborators of David Poeppel. A scholar is included among the top collaborators of David Poeppel 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 David Poeppel. David Poeppel 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.
Poeppel, David, et al.. (2025). Top-down and bottom-up neuroscience as collections of practices. Nature reviews. Neuroscience. 27(1). 79–79.
2.
Poeppel, David, et al.. (2024). Elevator music as a tool for the quantitative characterization of reward. Annals of the New York Academy of Sciences. 1535(1). 121–136. 3 indexed citations
3.
Chang, Andrew, Xiangbin Teng, M. Florencia Assaneo, & David Poeppel. (2024). The human auditory system uses amplitude modulation to distinguish music from speech. PLoS Biology. 22(5). e3002631–e3002631. 6 indexed citations
4.
Gwilliams, Laura, et al.. (2023). Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing. Scientific Data. 10(1). 862–862. 4 indexed citations
5.
Tavano, Alessandro, Burkhard Maeß, David Poeppel, & Erich Schröger. (2022). Neural entrainment via perceptual inferences. European Journal of Neuroscience. 55(11-12). 3277–3287. 3 indexed citations
6.
Larrouy-Maestri, Pauline, et al.. (2022). The variably intense vocalizations of affect and emotion (VIVAE) corpus prompts new perspective on nonspeech perception.. Emotion. 22(1). 213–225. 14 indexed citations
7.
Wallisch, Pascal, et al.. (2022). Speech-to-Speech Synchronization protocol to classify human participants as high or low auditory-motor synchronizers. STAR Protocols. 3(2). 101248–101248. 16 indexed citations
8.
Gwilliams, Laura, Jean-Rémi King, Alec Marantz, & David Poeppel. (2022). Neural dynamics of phoneme sequences reveal position-invariant code for content and order. Nature Communications. 13(1). 6606–6606. 45 indexed citations
9.
Rimmele, Johanna M., David Poeppel, & Oded Ghitza. (2021). Acoustically Driven Cortical δ Oscillations Underpin Prosodic Chunking. eNeuro. 8(4). ENEURO.0562–20.2021. 35 indexed citations
10.
Kim, Seung‐Goo, David Poeppel, & Tobias Overath. (2020). Modulation change detection in human auditory cortex: Evidence for asymmetric, non‐linear edge detection. European Journal of Neuroscience. 52(2). 2889–2904. 1 indexed citations
11.
Blanco-Elorrieta, Esti, Nai Ding, Liina Pylkkänen, & David Poeppel. (2020). Understanding Requires Tracking: Noise and Knowledge Interact in Bilingual Comprehension. Journal of Cognitive Neuroscience. 32(10). 1975–1983. 16 indexed citations
12.
Giroud, J.P., Agnès Trébuchon, Daniele Schön, et al.. (2020). Asymmetric sampling in human auditory cortex reveals spectral processing hierarchy. PLoS Biology. 18(3). e3000207–e3000207. 31 indexed citations
13.
Teng, Xiangbin, Qinglin Meng, & David Poeppel. (2020). Modulation Spectra Capture EEG Responses to Speech Signals and Drive Distinct Temporal Response Functions. eNeuro. 8(1). ENEURO.0399–20.2020. 4 indexed citations
14.
Teng, Xiangbin & David Poeppel. (2019). Theta and Gamma Bands Encode Acoustic Dynamics over Wide-Ranging Timescales. Cerebral Cortex. 30(4). 2600–2614. 34 indexed citations
15.
Doelling, Keith B., et al.. (2019). An oscillator model better predicts cortical entrainment to music. Proceedings of the National Academy of Sciences. 116(20). 10113–10121. 109 indexed citations
16.
Oever, Sanne ten, Charles M. Schroeder, David Poeppel, et al.. (2017). Low-Frequency Cortical Oscillations Entrain to Subthreshold Rhythmic Auditory Stimuli. Journal of Neuroscience. 37(19). 4903–4912. 53 indexed citations
17.
Horwitz, Barry & David Poeppel. (2002). How can EEG/MEG and fMRI/PET data be combined?. Human Brain Mapping. 17(1). 1–3. 95 indexed citations
18.
Poeppel, David. (2001). Pure word deafness and the bilateral processing of the speech code. Cognitive Science. 25(5). 679–693. 113 indexed citations
19.
Poeppel, David. (2001). New approaches to the neural basis of speech sound processing: introduction to special section on brain and speech. Cognitive Science. 25(5). 659–661. 8 indexed citations
20.
Poeppel, David. (2001). Pure word deafness and the bilateral processing of the speech code. Cognitive Science. 25(5). 679–693. 122 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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