Hanneke van Dijk

2.2k total citations · 1 hit paper
37 papers, 1.5k citations indexed

About

Hanneke van Dijk is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Hanneke van Dijk has authored 37 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cognitive Neuroscience, 8 papers in Neurology and 8 papers in Psychiatry and Mental health. Recurrent topics in Hanneke van Dijk's work include EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (17 papers) and Neural dynamics and brain function (10 papers). Hanneke van Dijk is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), Functional Brain Connectivity Studies (17 papers) and Neural dynamics and brain function (10 papers). Hanneke van Dijk collaborates with scholars based in Netherlands, United States and Germany. Hanneke van Dijk's co-authors include Ole Jensen, Jan‐Mathijs Schoffelen, Robert Oostenveld, Ali Mazaheri, Ingrid L.C. Nieuwenhuis, Martijn Arns, Alfons Schnitzler, W. Pieter Medendorp, Jurrian van der Werf and Joachim Lange and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.

In The Last Decade

Hanneke van Dijk

35 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability

2008 657 citations Hanneke van Dijk, Jan‐Mathijs Schoffelen et al. Journal of Neuroscience profile →

Peers

Hanneke van Dijk

ECP

CMN

NEURO

PMH

Matthias Moosmann Norway

Juliane Britz Switzerland

W. Ross Fulham Australia

Paolo Capotosto Italy

Sara M. Szczepanski United States

Stefan Frässle Germany

John E. Ingeholm United States

Nicole Ille Germany

Rishi M. Kalwani United States

Tzvetan Popov Germany

Matthias Moosmann Norway

Hanneke van Dijk

1.7k ×1.2

147 ×0.9

ECP

102 ×0.8

CMN

110 ×0.8

NEURO

72 ×0.7

PMH

Citations per year, relative to Hanneke van Dijk Hanneke van Dijk (= 1×) peers Matthias Moosmann

Countries citing papers authored by Hanneke van Dijk

Since Specialization

Citations

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

Fields of papers citing papers by Hanneke van Dijk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hanneke van Dijk

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

All Works

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20 of 20 papers shown

Bailey, Neil W., Ben Fulcher, Martijn Arns, et al.. (2025). Prediction of response to transcranial magnetic stimulation treatment for depression using EEG and machine learning. Clinical Neurophysiology. 178. 2110937–2110937.

Luykx, Jurjen J., Nikita van der Vinne, Evian Gordon, et al.. (2024). A Deep Learning–Derived Transdiagnostic Signature Indexing Hypoarousal and Impulse Control: Implications for Treatment Prediction in Psychiatric Disorders. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 10(6). 587–596. 1 indexed citations

Dijk, Hanneke van, et al.. (2024). Challenging the Diagnostic Value of Theta/Beta Ratio: Insights From an EEG Subtyping Meta-Analytical Approach in ADHD. Applied Psychophysiology and Biofeedback. 50(4). 655–666. 5 indexed citations

Dijk, Hanneke van, Felix Duecker, Joseph J. Taylor, et al.. (2024). Probing prefrontal-sgACC connectivity using TMS-induced heart–brain coupling. Nature Mental Health. 2(7). 809–817. 3 indexed citations

Bailey, Neil W., Ben Fulcher, Aron T. Hill, et al.. (2023). Uncovering a stability signature of brain dynamics associated with meditation experience using massive time-series feature extraction. Neural Networks. 171. 171–185. 9 indexed citations

Vinne, Nikita van der, Hanneke van Dijk, Jeroen A. van Waarde, et al.. (2023). Rostral Anterior Cingulate Cortex Oscillatory Power Indexes Treatment-Resistance to Multiple Therapies in Major Depressive Disorder. Neuropsychobiology. 82(6). 373–383. 2 indexed citations

Dijk, Hanneke van, Fidel Vila‐Rodriguez, John P. Coetzee, et al.. (2023). Transcranial Magnetic Stimulation–Induced Heart-Brain Coupling: Implications for Site Selection and Frontal Thresholding—Preliminary Findings. Biological Psychiatry Global Open Science. 3(4). 939–947. 10 indexed citations

Postma, Tjardo, Iris van Oostrom, Hanneke van Dijk, et al.. (2022). Sleep predicts the response to rTMS and CBT in patients with OCD: an open label effectiveness study. International Journal of Clinical and Health Psychology. 23(2). 100353–100353. 8 indexed citations

Wingen, Guido van, Giorgia Michelini, Kristi R. Griffiths, et al.. (2022). Brainmarker-I Differentially Predicts Remission to Various Attention-Deficit/Hyperactivity Disorder Treatments: A Discovery, Transfer, and Blinded Validation Study. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(1). 52–60. 19 indexed citations

10.

Krepel, Noralie, et al.. (2021). To spindle or not to spindle: A replication study into spindling excessive beta as a transdiagnostic EEG feature associated with impulse control. Biological Psychology. 165. 108188–108188. 5 indexed citations

11.

Arns, Martijn, Hanneke van Dijk, Jurjen J. Luykx, Guido van Wingen, & Sebastian Olbrich. (2021). Stratified psychiatry: Tomorrow's precision psychiatry?. European Neuropsychopharmacology. 55. 14–19. 49 indexed citations

12.

Bailey, Neil W., Noralie Krepel, Hanneke van Dijk, et al.. (2020). Resting EEG theta connectivity and alpha power to predict repetitive transcranial magnetic stimulation response in depression: A non-replication from the ICON-DB consortium. Clinical Neurophysiology. 132(2). 650–659. 23 indexed citations

13.

Dijk, Hanneke van, Roger deBeus, Cynthia Kerson, et al.. (2020). Different Spectral Analysis Methods for the Theta/Beta Ratio Calculate Different Ratios But Do Not Distinguish ADHD from Controls. Applied Psychophysiology and Biofeedback. 45(3). 165–173. 13 indexed citations

14.

Vollebregt, Madelon A., Sebastian Olbrich, Hanneke van Dijk, et al.. (2019). Probing the “Default Network Interference Hypothesis” With EEG: An RDoC Approach Focused on Attention. Clinical EEG and Neuroscience. 50(6). 404–412. 15 indexed citations

15.

Dijk, Hanneke van, et al.. (2019). Action verb processing specifically modulates motor behaviour and sensorimotor neuronal oscillations. Scientific Reports. 9(1). 15985–15985. 21 indexed citations

16.

Lange, Joachim, et al.. (2011). Fluctuations of Prestimulus Oscillatory Power Predict Subjective Perception of Tactile Simultaneity. Cerebral Cortex. 22(11). 2564–2574. 55 indexed citations

17.

Dijk, Hanneke van, Ingrid L.C. Nieuwenhuis, & Ole Jensen. (2010). Left temporal alpha band activity increases during working memory retention of pitches. European Journal of Neuroscience. 31(9). 1701–1707. 50 indexed citations

18.

Dijk, Hanneke van, Jurrian van der Werf, Ali Mazaheri, W. Pieter Medendorp, & Ole Jensen. (2009). Modulations in oscillatory activity with amplitude asymmetry can produce cognitively relevant event-related responses. Proceedings of the National Academy of Sciences. 107(2). 900–905. 133 indexed citations

19.

Mazaheri, Ali, Ingrid L.C. Nieuwenhuis, Hanneke van Dijk, & Ole Jensen. (2009). Prestimulus alpha and mu activity predicts failure to inhibit motor responses. Human Brain Mapping. 30(6). 1791–1800. 218 indexed citations

20.

Dijk, Hanneke van, Jan‐Mathijs Schoffelen, Robert Oostenveld, & Ole Jensen. (2008). Prestimulus Oscillatory Activity in the Alpha Band Predicts Visual Discrimination Ability. Journal of Neuroscience. 28(8). 1816–1823. 657 indexed citations breakdown →

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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