Bernadette C.M. van Wijk
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function 17
- EEG and Brain-Computer Interfaces 13
- Functional Brain Connectivity Studies 11
- Motor Control and Adaptation 3
- Neurology top 2%
- Neurological disorders and treatments 20
- Parkinson's Disease Mechanisms and Treatments 11
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- Neuroscience and Neural Engineering 14
- Neurology top 5%
- Neurological disorders and treatments 20
- Parkinson's Disease Mechanisms and Treatments 11
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- Muscle activation and electromyography studies 4
- Co-authors
- Andreas DaffertshoferCornelis J. StamVladimir LitvakKarl FristonAshwini OswalPeter J. BeekPeter ZeidmanAdeel Razi
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Bernadette C.M. van Wijk
38 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cognitive Neuroscience 2.0k
- Neurology 499
- Cellular and Molecular Neuroscience 529
- Neurology 185
- Experimental and Cognitive Psychology 286
Countries citing papers authored by Bernadette C.M. van Wijk
This map shows the geographic impact of Bernadette C.M. van Wijk'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 Bernadette C.M. van Wijk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernadette C.M. van Wijk more than expected).
Fields of papers citing papers by Bernadette C.M. van Wijk
This network shows the impact of papers produced by Bernadette C.M. van Wijk. 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 Bernadette C.M. van Wijk. The network helps show where Bernadette C.M. van Wijk may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bernadette C.M. van Wijk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 3 | |
| 5 | 2022 | 15 | |
| 6 | 2022 | 22 | |
| 7 | 2022 | 11 | |
| 8 | 2020 | 40 | |
| 9 | 2019 | 28 | |
| 10 | 2019 | 49 | |
| 11 | 2018 | 33 | |
| 12 | 2016 | 60 | |
| 13 | 2016 | 144 | |
| 14 | 2013 | 20 | |
| 15 | 2012 | 185 | |
| 16 | 2011 | 83 | |
| 17 | Comparing Brain Networks of Different Size and Connectivity Density Using Graph Theorybreakdown → | 2010 | 882 |
| 18 | 2010 | 25 | |
| 19 | 2009 | 48 | |
| 20 | Local and long-range beta synchrony in motor control. | 2008 | 3 |
About Bernadette C.M. van Wijk
Bernadette C.M. van Wijk is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience, having authored 41 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurological disorders and treatments (20 papers), Neural dynamics and brain function (17 papers), Neuroscience and Neural Engineering (14 papers), EEG and Brain-Computer Interfaces (13 papers), Parkinson's Disease Mechanisms and Treatments (11 papers), Functional Brain Connectivity Studies (11 papers), Muscle activation and electromyography studies (4 papers) and Motor Control and Adaptation (3 papers). The work is most often cited by research in Cognitive Neuroscience (2.0k citations), Neurology (499 citations) and Cellular and Molecular Neuroscience (529 citations). Bernadette C.M. van Wijk has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Andreas Daffertshofer, Cornelis J. Stam, Vladimir Litvak, Karl Friston, Ashwini Oswal, Peter J. Beek, Peter Zeidman, Adeel Razi, Gabriel Ziegler and Klaas Ε. Stephan. Their work appears in journals such as The Lancet, 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.