Marijn van Vliet

929 total citations
30 papers, 545 citations indexed

About

Marijn van Vliet is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Marijn van Vliet has authored 30 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Social Psychology. Recurrent topics in Marijn van Vliet's work include EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (10 papers) and Neural and Behavioral Psychology Studies (9 papers). Marijn van Vliet is often cited by papers focused on EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (10 papers) and Neural and Behavioral Psychology Studies (9 papers). Marijn van Vliet collaborates with scholars based in Finland, Belgium and Germany. Marijn van Vliet's co-authors include Marc M. Van Hulle, Nikolay Chumerin, Nikolay V. Manyakov, Arne Robben, Adrien Combaz, Riitta Salmelin, Sasa L. Kivisaari, Annika Hultén, Tiina Lindh‐Knuutila and Ali Faisal and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Marijn van Vliet

25 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marijn van Vliet Finland 9 420 148 67 62 52 30 545
Jonathan Touryan United States 9 409 1.0× 145 1.0× 43 0.6× 41 0.7× 38 0.7× 25 479
Farnaz Ghassemi Iran 12 312 0.7× 53 0.4× 29 0.4× 23 0.4× 21 0.4× 73 411
Minh Khoa Nguyen Singapore 8 382 0.9× 34 0.2× 27 0.4× 73 1.2× 50 1.0× 17 509
Bei Wang China 11 198 0.5× 48 0.3× 31 0.5× 24 0.4× 56 1.1× 48 454
Matthias Schultze-Kraft Germany 8 304 0.7× 68 0.5× 16 0.2× 27 0.4× 19 0.4× 8 349
Won-Du Chang South Korea 13 291 0.7× 32 0.2× 18 0.3× 208 3.4× 65 1.3× 52 563
Reda A. El-Khoribi Egypt 10 238 0.6× 22 0.1× 71 1.1× 61 1.0× 72 1.4× 26 520
David C. Tam United States 11 195 0.5× 89 0.6× 37 0.6× 5 0.1× 24 0.5× 50 359
Benjamin Griffiths United Kingdom 14 447 1.1× 114 0.8× 18 0.3× 9 0.1× 11 0.2× 37 663
Po-He Tseng United States 8 304 0.7× 86 0.6× 32 0.5× 117 1.9× 3 0.1× 10 524

Countries citing papers authored by Marijn van Vliet

Since Specialization
Citations

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

Fields of papers citing papers by Marijn van Vliet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marijn van Vliet. 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 Marijn van Vliet. The network helps show where Marijn van Vliet may publish in the future.

Co-authorship network of co-authors of Marijn van Vliet

This figure shows the co-authorship network connecting the top 25 collaborators of Marijn van Vliet. A scholar is included among the top collaborators of Marijn van Vliet 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 Marijn van Vliet. Marijn van Vliet 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.
2.
Lindh‐Knuutila, Tiina, et al.. (2025). Misspelled‐Word Reading Modulates Late Cortical Dynamics. Human Brain Mapping. 46(8). e70247–e70247.
3.
Vliet, Marijn van, Stefan Appelhoff, Takao Shimizu, et al.. (2025). MNE-RSA: Representational Similarity Analysis on EEG, MEG and fMRI data. The Journal of Open Source Software. 10(116). 9148–9148.
4.
Vliet, Marijn van, et al.. (2023). Trials and tribulations when attempting to decode semantic representations from MEG responses to written text. Language Cognition and Neuroscience. 39(9). 1149–1160. 3 indexed citations
5.
Vliet, Marijn van, et al.. (2023). Cortical time-course of evidence accumulation during semantic processing. Communications Biology. 6(1). 1242–1242. 2 indexed citations
6.
Kivisaari, Sasa L., Annika Hultén, Marijn van Vliet, Tiina Lindh‐Knuutila, & Riitta Salmelin. (2023). Semantic feature norms: a cross-method and cross-language comparison. Behavior Research Methods. 56(6). 5788–5797. 1 indexed citations
7.
Hultén, Annika, Marijn van Vliet, Sasa L. Kivisaari, et al.. (2021). The neural representation of abstract words may arise through grounding word meaning in language itself. Human Brain Mapping. 42(15). 4973–4984. 18 indexed citations
8.
Vliet, Marijn van. (2020). Seven quick tips for analysis scripts in neuroimaging. PLoS Computational Biology. 16(3). e1007358–e1007358. 7 indexed citations
9.
Appelhoff, Stefan, Teon L Brooks, Marijn van Vliet, et al.. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. The Journal of Open Source Software. 4(44). 1896–1896. 68 indexed citations
10.
Kivisaari, Sasa L., Marijn van Vliet, Annika Hultén, et al.. (2019). Reconstructing meaning from bits of information. Nature Communications. 10(1). 927–927. 93 indexed citations
11.
Vliet, Marijn van & Riitta Salmelin. (2019). Post-hoc modification of linear models: Combining machine learning with domain information to make solid inferences from noisy data. NeuroImage. 204. 116221–116221. 7 indexed citations
12.
Halfpenny, N., et al.. (2019). PNS335 USING MACHINE LEARNING FOR EFFICIENCY IMPROVEMENTS IN SYSTEMATIC LITERATURE REVIEWS OF CLINICAL EFFICACY AND SAFETY. Value in Health. 22. S821–S821. 4 indexed citations
13.
Vliet, Marijn van, et al.. (2018). Analysis of Functional Connectivity and Oscillatory Power Using DICS: From Raw MEG Data to Group-Level Statistics in Python. Frontiers in Neuroscience. 12. 586–586. 25 indexed citations
14.
Vliet, Marijn van, Marc M. Van Hulle, & Riitta Salmelin. (2017). Exploring the Organization of Semantic Memory through Unsupervised Analysis of Event-related Potentials. Journal of Cognitive Neuroscience. 30(3). 381–392. 4 indexed citations
15.
Vliet, Marijn van, Nikolay V. Manyakov, Gert Storms, et al.. (2014). Response-Related Potentials during Semantic Priming: The Effect of a Speeded Button Response Task on ERPs. PLoS ONE. 9(2). e87650–e87650. 29 indexed citations
16.
Manyakov, Nikolay V., Nikolay Chumerin, Arne Robben, et al.. (2013). Sampled sinusoidal stimulation profile and multichannel fuzzy logic classification for monitor-based phase-coded SSVEP brain–computer interfacing. Journal of Neural Engineering. 10(3). 36011–36011. 97 indexed citations
17.
Shen, Kai, et al.. (2012). Accurate Visual Stimulus Presentation Software for EEG Experiments. Information Systems. 2012(56). 279–282. 5 indexed citations
18.
Manyakov, Nikolay V., Nikolay Chumerin, Adrien Combaz, et al.. (2011). Brain-computer interface research at Katholieke Universiteit Leuven. Lirias (KU Leuven). 1–5. 7 indexed citations
19.
Bos, Danny Plass-Oude, Matthieu Duvinage, Hüseyin Gürüler, et al.. (2010). Looking around with your brain in a virtual world. University of Twente Research Information. 6 indexed citations
20.
Blijenberg, B. G., et al.. (1997). Validation of a natural urinary stone data based infrared library searching system with artificial survey samples.. PubMed. 35(8). 625–30. 4 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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