Benjamin Morillon

6.3k total citations
87 papers, 3.2k citations indexed

About

Benjamin Morillon is a scholar working on Cognitive Neuroscience, Nuclear and High Energy Physics and Aerospace Engineering. According to data from OpenAlex, Benjamin Morillon has authored 87 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cognitive Neuroscience, 25 papers in Nuclear and High Energy Physics and 24 papers in Aerospace Engineering. Recurrent topics in Benjamin Morillon's work include Neuroscience and Music Perception (34 papers), Neural dynamics and brain function (31 papers) and Nuclear physics research studies (25 papers). Benjamin Morillon is often cited by papers focused on Neuroscience and Music Perception (34 papers), Neural dynamics and brain function (31 papers) and Nuclear physics research studies (25 papers). Benjamin Morillon collaborates with scholars based in France, United States and Switzerland. Benjamin Morillon's co-authors include Anne‐Lise Giraud, Luc H. Arnal, Katia Lehongre, Andreas Kleinschmidt, Anne-Lise Giraud, Charles M. Schroeder, Sylvain Baillet, Sepideh Sadaghiani, René Scheeringa and Christian A. Kell and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Benjamin Morillon

80 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin Morillon France 27 2.4k 710 322 310 279 87 3.2k
Claudia D. Tesche United States 31 3.3k 1.4× 372 0.5× 77 0.2× 64 0.2× 22 0.1× 86 5.3k
Mitsuo Ikeda Japan 27 1.7k 0.7× 199 0.3× 56 0.2× 66 0.2× 51 0.2× 200 2.5k
Mario Džemidžić United States 34 2.2k 0.9× 819 1.2× 114 0.4× 31 0.1× 18 0.1× 119 3.6k
Diane M. Beck United States 35 4.6k 1.9× 651 0.9× 92 0.3× 25 0.1× 15 0.1× 91 5.2k
Yoshiyuki Hirano Japan 25 667 0.3× 170 0.2× 77 0.2× 58 0.2× 354 1.3× 179 2.7k
Michael Hanke Germany 26 2.0k 0.9× 312 0.4× 18 0.1× 20 0.1× 86 0.3× 87 3.3k
Kensuke Sekihara Japan 35 3.5k 1.5× 313 0.4× 203 0.6× 11 0.0× 57 0.2× 155 5.1k
Katrin Krumbholz United Kingdom 26 1.9k 0.8× 618 0.9× 115 0.4× 9 0.0× 47 0.2× 63 2.2k
J. Simola Finland 28 3.2k 1.3× 644 0.9× 55 0.2× 16 0.1× 17 0.1× 60 4.7k
Daniel Lenz Germany 21 1.0k 0.4× 103 0.1× 589 1.8× 48 0.2× 26 0.1× 48 3.1k

Countries citing papers authored by Benjamin Morillon

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Morillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Morillon

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Morillon. A scholar is included among the top collaborators of Benjamin Morillon 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 Benjamin Morillon. Benjamin Morillon 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.
Morillon, Benjamin, et al.. (2025). Predicting meaning in the dyad.. Journal of Experimental Psychology General. 154(12). 3405–3416. 1 indexed citations
2.
Strijkers, Kristof, et al.. (2025). Moving rhythmically can facilitate naturalistic speech perception in a noisy environment. Proceedings of the Royal Society B Biological Sciences. 292(2044). 20250354–20250354. 1 indexed citations
3.
4.
López‐Madrona, Víctor J., Agnès Trébuchon, Christian Bénar, Daniele Schön, & Benjamin Morillon. (2024). Different sustained and induced alpha oscillations emerge in the human auditory cortex during sound processing. Communications Biology. 7(1). 1 indexed citations
5.
Mercier, Manuel, et al.. (2024). Speech and music recruit frequency-specific distributed and overlapping cortical networks. eLife. 13. 3 indexed citations
6.
Mercier, Manuel, et al.. (2024). Speech and music recruit frequency-specific distributed and overlapping cortical networks. eLife. 13. 4 indexed citations
7.
Woods, Kevin J. P., et al.. (2024). Rapid modulation in music supports attention in listeners with attentional difficulties. Communications Biology. 7(1). 1376–1376. 1 indexed citations
8.
Giroud, J.P., Agnès Trébuchon, Manuel Mercier, Matthew H. Davis, & Benjamin Morillon. (2024). The human auditory cortex concurrently tracks syllabic and phonemic timescales via acoustic spectral flux. Science Advances. 10(51). eado8915–eado8915. 2 indexed citations
9.
Trébuchon, Agnès, et al.. (2021). Frequency Selectivity of Persistent Cortical Oscillatory Responses to Auditory Rhythmic Stimulation. Journal of Neuroscience. 41(38). 7991–8006. 24 indexed citations
10.
Albouy, Philippe, Lucas Benjamin, Benjamin Morillon, & Robert J. Zatorre. (2020). Distinct sensitivity to spectrotemporal modulation supports brain asymmetry for speech and melody. Science. 367(6481). 1043–1047. 137 indexed citations
11.
Aucouturier, Jean‐Julien, et al.. (2020). Neural entrainment to music is sensitive to melodic spectral complexity. Journal of Neurophysiology. 123(3). 1063–1071. 17 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.
Petkoski, Spase, et al.. (2020). Natural rhythms of periodic temporal attention. Nature Communications. 11(1). 1051–1051. 65 indexed citations
14.
Hou, Jen-Cheng, et al.. (2020). Neural correlates of rhythmic rocking in prefrontal seizures. Neurophysiologie Clinique. 50(5). 331–338. 6 indexed citations
15.
Blanchon, G., Marc Dupuis, Hugo F. Arellano, R. Bernard, & Benjamin Morillon. (2020). SIDES: Nucleon–nucleus elastic scattering code for nonlocal potential. Computer Physics Communications. 254. 107340–107340. 7 indexed citations
16.
Morillon, Benjamin, et al.. (2018). Organizational principles of multidimensional predictions in human auditory attention. Scientific Reports. 8(1). 13466–13466. 14 indexed citations
17.
Morillon, Benjamin & Sylvain Baillet. (2017). Motor origin of temporal predictions in auditory attention. Proceedings of the National Academy of Sciences. 114(42). E8913–E8921. 213 indexed citations
18.
Morillon, Benjamin, Charles M. Schroeder, Valentin Wyart, & Luc H. Arnal. (2016). Temporal Prediction in lieu of Periodic Stimulation. Journal of Neuroscience. 36(8). 2342–2347. 85 indexed citations
19.
Morillon, Benjamin, Troy A. Hackett, Yoshinao Kajikawa, & Charles E. Schroeder. (2015). Predictive motor control of sensory dynamics in auditory active sensing. Current Opinion in Neurobiology. 31. 230–238. 97 indexed citations
20.
Sadaghiani, Sepideh, René Scheeringa, Katia Lehongre, et al.. (2010). Intrinsic Connectivity Networks, Alpha Oscillations, and Tonic Alertness: A Simultaneous Electroencephalography/Functional Magnetic Resonance Imaging Study. Journal of Neuroscience. 30(30). 10243–10250. 393 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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