Marijn van Vliet
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Co-authors
- Marc M. Van HulleNikolay ChumerinNikolay V. ManyakovAdrien CombazArne RobbenRiitta SalmelinSasa L. KivisaariTiina Lindh‐Knuutila
- Topics
- EEG and Brain-Computer Interfaces (18 papers)Neural dynamics and brain function (10 papers)Neural and Behavioral Psychology Studies (9 papers)
In The Last Decade
Marijn van Vliet
25 papers receiving 534 citations
Peers
Comparison fields: 5 of 109
- Cognitive Neuroscience 420
- Cellular and Molecular Neuroscience 148
- Electrical and Electronic Engineering 67
- Human-Computer Interaction 62
- Signal Processing 52
Countries citing papers authored by Marijn van Vliet
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 18 | |
| 8 | 7 | |
| 9 | 68 | |
| 10 | 4 | |
| 11 | 7 | |
| 12 | 93 | |
| 13 | 25 | |
| 14 | 4 | |
| 15 | 29 | |
| 16 | 97 | |
| 17 | Accurate Visual Stimulus Presentation Software for EEG Experiments | 5 |
| 18 | 7 | |
| 19 | 6 | |
| 20 | Validation of a natural urinary stone data based infrared library searching system with artificial survey samples. | 4 |
About Marijn van Vliet
Marijn van Vliet is a scholar working on Cognitive Neuroscience, Health Informatics and Human-Computer Interaction, having authored 30 papers that have together received 545 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (18 papers), Neural dynamics and brain function (10 papers) and Neural and Behavioral Psychology Studies (9 papers). The work is most often cited by research in Cognitive Neuroscience (420 citations), Human-Computer Interaction (62 citations) and Cellular and Molecular Neuroscience (148 citations). Marijn van Vliet has collaborated with scholars based in Finland, Belgium and Germany. Frequent co-authors include Marc M. Van Hulle, Nikolay Chumerin, Nikolay V. Manyakov, Adrien Combaz, Arne Robben, Riitta Salmelin, Sasa L. Kivisaari, Tiina Lindh‐Knuutila, Annika Hultén and Ali Faisal. Their work appears in journals such as Nature Communications, PLoS ONE and NeuroImage.
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.