Gert-Jan de Vries
- Cognitive Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 10%
- Human-Computer Interaction top 5%
- Biomedical Engineering
- Co-authors
- Joris H. JanssenMarieke van DoorenPaul LemmensD. BrokkenFloris M. H. CrompvoetsMichael BiehlJoyce H. D. M. WesterinkSteffen Pauws
- Topics
- Emotion and Mood Recognition (6 papers)EEG and Brain-Computer Interfaces (3 papers)Color perception and design (3 papers)
- Partner nations
- NetherlandsFinlandUnited Kingdom
In The Last Decade
Gert-Jan de Vries
17 papers receiving 564 citations
Peers
Comparison fields: 5 of 101
- Cognitive Neuroscience 265
- Experimental and Cognitive Psychology 212
- Social Psychology 142
- Human-Computer Interaction 110
- Biomedical Engineering 87
Countries citing papers authored by Gert-Jan de Vries
This map shows the geographic impact of Gert-Jan de Vries'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 Gert-Jan de Vries with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gert-Jan de Vries more than expected).
Fields of papers citing papers by Gert-Jan de Vries
This network shows the impact of papers produced by Gert-Jan de Vries. 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 Gert-Jan de Vries. The network helps show where Gert-Jan de Vries may publish in the future.
Co-authorship network of co-authors of Gert-Jan de Vries
This figure shows the co-authorship network connecting the top 25 collaborators of Gert-Jan de Vries. A scholar is included among the top collaborators of Gert-Jan de Vries 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 Gert-Jan de Vries. Gert-Jan de Vries is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 18 | |
| 3 | sklvq : Scikit Learning Vector Quantization | 10 |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders | 3 |
| 8 | 6 | |
| 9 | 30 | |
| 10 | 34 | |
| 11 | 8 | |
| 12 | 282 | |
| 13 | 26 | |
| 14 | 2 | |
| 15 | 107 | |
| 16 | 4 | |
| 17 | 33 |
About Gert-Jan de Vries
Gert-Jan de Vries is a scholar working on Experimental and Cognitive Psychology, Human-Computer Interaction and Cognitive Neuroscience, having authored 17 papers that have together received 587 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (6 papers), EEG and Brain-Computer Interfaces (3 papers) and Color perception and design (3 papers). The work is most often cited by research in Human-Computer Interaction (110 citations), Experimental and Cognitive Psychology (212 citations) and Cognitive Neuroscience (265 citations). Gert-Jan de Vries has collaborated with scholars based in Netherlands, Finland and United Kingdom. Frequent co-authors include Joris H. Janssen, Marieke van Dooren, Paul Lemmens, D. Brokken, Floris M. H. Crompvoets, Michael Biehl, Joyce H. D. M. Westerink, Steffen Pauws, S. de Waele and Martin Ouwerkerk. Their work appears in journals such as Physiology & Behavior, Neurocomputing and Journal of Machine Learning Research.
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.