Lukas Snoek

786 total citations
16 papers, 371 citations indexed

About

Lukas Snoek is a scholar working on Cognitive Neuroscience, Social Psychology and Health. According to data from OpenAlex, Lukas Snoek has authored 16 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 5 papers in Social Psychology and 2 papers in Health. Recurrent topics in Lukas Snoek's work include Face Recognition and Perception (8 papers), Neural dynamics and brain function (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Lukas Snoek is often cited by papers focused on Face Recognition and Perception (8 papers), Neural dynamics and brain function (3 papers) and EEG and Brain-Computer Interfaces (3 papers). Lukas Snoek collaborates with scholars based in Netherlands, United Kingdom and Germany. Lukas Snoek's co-authors include H. Steven Scholte, Steven Miletić, H. Volten, L. Kaper, H. F. Henrichs, Suzanne Oosterwijk, Annemarie Eigenhuis, Philippe G. Schyns, Michiel van Elk and Han L. J. van der Maas and has published in prestigious journals such as NeuroImage, Trends in Cognitive Sciences and Scientific Reports.

In The Last Decade

Lukas Snoek

15 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lukas Snoek Netherlands 11 182 75 70 59 32 16 371
Thomas Lehmann Germany 7 83 0.5× 36 0.5× 36 0.5× 17 0.3× 9 0.3× 14 346
Shlomit Ritz Finkelstein United States 6 332 1.8× 18 0.2× 56 0.8× 40 0.7× 77 2.4× 7 442
Thomas Jahn Germany 7 92 0.5× 11 0.1× 11 0.2× 64 1.1× 7 0.2× 24 231
Stéphane Rauzy France 8 101 0.6× 40 0.5× 41 0.6× 1 0.0× 25 0.8× 37 228
Hong Yu Wong Germany 9 206 1.1× 29 0.4× 79 1.1× 5 0.1× 143 4.5× 20 407
Nathaniel R. Greene United States 13 245 1.3× 11 0.1× 101 1.4× 3 0.1× 43 1.3× 38 417
Naveen Yadav India 8 89 0.5× 95 1.3× 10 0.1× 19 0.3× 15 0.5× 15 241
Takaaki Goto Japan 9 92 0.5× 3 0.0× 14 0.2× 39 0.7× 10 0.3× 68 310
Manolo Martínez Spain 10 159 0.9× 9 0.1× 74 1.1× 6 0.1× 53 1.7× 31 304

Countries citing papers authored by Lukas Snoek

Since Specialization
Citations

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

Fields of papers citing papers by Lukas Snoek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukas Snoek

This figure shows the co-authorship network connecting the top 25 collaborators of Lukas Snoek. A scholar is included among the top collaborators of Lukas Snoek 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 Lukas Snoek. Lukas Snoek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Snoek, Lukas, et al.. (2024). Human Visual Cortex and Deep Convolutional Neural Network Care Deeply about Object Background. Journal of Cognitive Neuroscience. 36(3). 551–566. 1 indexed citations
2.
Snoek, Lukas, Rachael E. Jack, Philippe G. Schyns, et al.. (2023). Testing, explaining, and exploring models of facial expressions of emotions. Science Advances. 9(6). eabq8421–eabq8421. 14 indexed citations
3.
Schyns, Philippe G., Lukas Snoek, & Christoph Daube. (2023). Stimulus models test hypotheses in brains and DNNs. Trends in Cognitive Sciences. 27(3). 216–217. 2 indexed citations
4.
Snoek, Lukas, Rachael E. Jack, & Philippe G. Schyns. (2023). Dynamic face imaging: a novel analysis framework for 4D social face perception and expression. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 1–4.
5.
Snoek, Lukas, et al.. (2022). A Critical Test of Deep Convolutional Neural Networks' Ability to Capture Recurrent Processing in the Brain Using Visual Masking. Journal of Cognitive Neuroscience. 34(12). 2390–2405. 4 indexed citations
6.
Ridderinkhof, K. Richard, et al.. (2022). Action Intentions, Predictive Processing, and Mind Reading: Turning Goalkeepers Into Penalty Killers. Frontiers in Human Neuroscience. 15. 789817–789817. 3 indexed citations
7.
Schyns, Philippe G., Lukas Snoek, & Christoph Daube. (2022). Degrees of algorithmic equivalence between the brain and its DNN models. Trends in Cognitive Sciences. 26(12). 1090–1102. 22 indexed citations
8.
Snoek, Lukas, et al.. (2021). The Amsterdam Open MRI Collection, a set of multimodal MRI datasets for individual difference analyses. Scientific Data. 8(1). 85–85. 67 indexed citations
9.
Maas, Han L. J. van der, Lukas Snoek, & Claire E. Stevenson. (2021). How much intelligence is there in artificial intelligence? A 2020 update. Intelligence. 87. 101548–101548. 24 indexed citations
10.
Oosterwijk, Suzanne, et al.. (2020). Choosing to view morbid information involves reward circuitry. Scientific Reports. 10(1). 15291–15291. 33 indexed citations
11.
Hoogeveen, Suzanne, Lukas Snoek, & Michiel van Elk. (2020). Religious belief and cognitive conflict sensitivity: A preregistered fMRI study. Cortex. 129. 247–265. 11 indexed citations
12.
Elk, Michiel van & Lukas Snoek. (2019). The relationship between individual differences in gray matter volume and religiosity and mystical experiences: A preregistered voxel‐based morphometry study. European Journal of Neuroscience. 51(3). 850–865. 11 indexed citations
13.
Snoek, Lukas, Steven Miletić, & H. Steven Scholte. (2018). How to control for confounds in decoding analyses of neuroimaging data. NeuroImage. 184. 741–760. 76 indexed citations
14.
Mourik, Tim van, Lukas Snoek, Tomas Knapen, & David G. Norris. (2018). Porcupine: A visual pipeline tool for neuroimaging analysis. PLoS Computational Biology. 14(5). e1006064–e1006064. 10 indexed citations
15.
Oosterwijk, Suzanne, Lukas Snoek, Mark Rotteveel, Lisa Feldman Barrett, & H. Steven Scholte. (2017). Shared states: using MVPA to test neural overlap between self-focused emotion imagery and other-focused emotion understanding. Social Cognitive and Affective Neuroscience. 12(7). 1025–1035. 18 indexed citations
16.
Kaper, L., et al.. (1996). Long- and short-term variability in O-star winds. I. Time series of UV spectra for 10 bright O stars. Astronomy and Astrophysics Supplement Series. 116(2). 257–287. 75 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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