Daniel S. Kluger

776 total citations
24 papers, 356 citations indexed

About

Daniel S. Kluger is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel S. Kluger has authored 24 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 3 papers in Social Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel S. Kluger's work include Neural dynamics and brain function (18 papers), Functional Brain Connectivity Studies (15 papers) and EEG and Brain-Computer Interfaces (7 papers). Daniel S. Kluger is often cited by papers focused on Neural dynamics and brain function (18 papers), Functional Brain Connectivity Studies (15 papers) and EEG and Brain-Computer Interfaces (7 papers). Daniel S. Kluger collaborates with scholars based in Germany, United Kingdom and Denmark. Daniel S. Kluger's co-authors include Joachim Groß, Omid Abbasi, Micah Allen, Ricarda I. Schubotz, Christian Keitel, Somogy Varga, Christoph Daube, Detlef Heck, Robert Nitsch and Tobias H. Donner and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Daniel S. Kluger

23 papers receiving 351 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 S. Kluger Germany 10 249 70 65 51 45 24 356
Simon Khuvis United States 4 364 1.5× 55 0.8× 77 1.2× 50 1.0× 45 1.0× 5 473
Ewa Beldzik Poland 12 261 1.0× 75 1.1× 27 0.4× 85 1.7× 25 0.6× 28 369
Benoît Béranger France 8 163 0.7× 78 1.1× 31 0.5× 16 0.3× 47 1.0× 22 310
Rosa M. Salas Spain 9 428 1.7× 108 1.5× 51 0.8× 21 0.4× 25 0.6× 12 490
Hermann Griessenberger Austria 8 281 1.1× 146 2.1× 40 0.6× 37 0.7× 41 0.9× 10 354
Kwang Su South Korea 12 245 1.0× 87 1.2× 28 0.4× 27 0.5× 47 1.0× 31 361
Norman Forschack Germany 13 478 1.9× 80 1.1× 69 1.1× 12 0.2× 106 2.4× 25 568
Wenrui Zhao China 10 244 1.0× 164 2.3× 41 0.6× 59 1.2× 38 0.8× 21 419
Annette Beatrix Bruehl Switzerland 6 339 1.4× 74 1.1× 45 0.7× 7 0.1× 48 1.1× 10 478
Akifumi Kishi Japan 11 254 1.0× 218 3.1× 28 0.4× 91 1.8× 71 1.6× 30 409

Countries citing papers authored by Daniel S. Kluger

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Kluger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Kluger

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel S. Kluger. A scholar is included among the top collaborators of Daniel S. Kluger 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 S. Kluger. Daniel S. Kluger 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.
Kluger, Daniel S., Omid Abbasi, Kanjana Unnwongse, et al.. (2025). Respiratory modulations of cortical excitability and interictal spike timing in focal epilepsy: a case report. Communications Medicine. 5(1). 108–108. 2 indexed citations
2.
Fardo, Francesca, et al.. (2025). The respiratory cycle modulates distinct dynamics of affective and perceptual decision-making. PLoS Computational Biology. 21(5). e1013086–e1013086. 3 indexed citations
3.
Kluger, Daniel S., Joachim Groß, & Christian Keitel. (2024). A Dynamic Link between Respiration and Arousal. Journal of Neuroscience. 44(47). e1173242024–e1173242024. 10 indexed citations
4.
Kluger, Daniel S., Micah Allen, & Joachim Groß. (2024). Brain–body states embody complex temporal dynamics. Trends in Cognitive Sciences. 28(8). 695–698. 12 indexed citations
5.
Kluger, Daniel S., et al.. (2023). Modulatory dynamics of periodic and aperiodic activity in respiration-brain coupling. Nature Communications. 14(1). 4699–4699. 28 indexed citations
6.
Daube, Christoph, et al.. (2023). Speech onsets and sustained speech contribute differentially to delta and theta speech tracking in auditory cortex. Cerebral Cortex. 33(10). 6273–6281. 11 indexed citations
7.
Abbasi, Omid, et al.. (2023). Predictive coordination of breathing during intra-personal speaking and listening. iScience. 26(8). 107281–107281. 3 indexed citations
8.
Abbasi, Omid, et al.. (2023). Spatiotemporal dynamics characterise spectral connectivity profiles of continuous speaking and listening. PLoS Biology. 21(7). e3002178–e3002178. 7 indexed citations
9.
Pfeffer, Thomas, Christian Keitel, Daniel S. Kluger, et al.. (2022). Coupling of pupil- and neuronal population dynamics reveals diverse influences of arousal on cortical processing. eLife. 11. 39 indexed citations
10.
Daube, Christoph, et al.. (2022). Multivariate analysis of speech envelope tracking reveals coupling beyond auditory cortex. NeuroImage. 258. 119395–119395. 15 indexed citations
11.
Albanna, Walid, Miriam Weiss, Michael Veldeman, et al.. (2022). The Role of Soluble Urokinase Plasminogen Activator Receptor (suPAR) in the Context of Aneurysmal Subarachnoid Hemorrhage (aSAH)—A Prospective Observational Study. Frontiers in Neurology. 13. 841024–841024. 4 indexed citations
12.
Kluger, Daniel S. & Joachim Groß. (2021). Respiration modulates oscillatory neural network activity at rest. PLoS Biology. 19(11). e3001457–e3001457. 85 indexed citations
13.
Kluger, Daniel S., et al.. (2021). Early alpha/beta oscillations reflect the formation of face-related expectations in the brain. PLoS ONE. 16(7). e0255116–e0255116. 5 indexed citations
14.
Kluger, Daniel S., Axel Kohler, Katja Kornysheva, et al.. (2021). Surmising synchrony of sound and sight: Factors explaining variance of audiovisual integration in hurdling, tap dancing and drumming. PLoS ONE. 16(7). e0253130–e0253130. 2 indexed citations
15.
Kluger, Daniel S. & Joachim Groß. (2020). Depth and phase of respiration modulate cortico-muscular communication. NeuroImage. 222. 117272–117272. 43 indexed citations
16.
Kluger, Daniel S., et al.. (2020). Exploitation of local and global information in predictive processing. PLoS ONE. 15(4). e0231021–e0231021. 2 indexed citations
17.
Kluger, Daniel S., et al.. (2020). Incidental or Intentional? Different Brain Responses to One's Own Action Sounds in Hurdling vs. Tap Dancing. Frontiers in Neuroscience. 14. 483–483. 7 indexed citations
18.
Kluger, Daniel S., Laura Quante, Axel Kohler, & Ricarda I. Schubotz. (2019). Being right matters: Model-compliant events in predictive processing. PLoS ONE. 14(6). e0218311–e0218311. 3 indexed citations
19.
Quante, Laura, Daniel S. Kluger, Paul‐Christian Bürkner, Matthias Ekman, & Ricarda I. Schubotz. (2018). Graph measures in task-based fMRI: Functional integration during read-out of visual and auditory information. PLoS ONE. 13(11). e0207119–e0207119. 9 indexed citations
20.
Kluger, Daniel S. & Ricarda I. Schubotz. (2017). Strategic adaptation to non-reward prediction error qualities and irreducible uncertainty in fMRI. Cortex. 97. 32–48. 8 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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