Rikkert Hindriks

1.7k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Rikkert Hindriks is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rikkert Hindriks has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rikkert Hindriks's work include Neural dynamics and brain function (26 papers), Functional Brain Connectivity Studies (18 papers) and EEG and Brain-Computer Interfaces (7 papers). Rikkert Hindriks is often cited by papers focused on Neural dynamics and brain function (26 papers), Functional Brain Connectivity Studies (18 papers) and EEG and Brain-Computer Interfaces (7 papers). Rikkert Hindriks collaborates with scholars based in Netherlands, Spain and United Kingdom. Rikkert Hindriks's co-authors include Gustavo Deco, Michel J. A. M. van Putten, Dante Mantini, Nikos K. Logothetis, Yusuke Murayama, Mohit H. Adhikari, Marco Ganzetti, Morten L. Kringelbach, Jeannette Hofmeijer and Marleen C. Tjepkema‐Cloostermans and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Rikkert Hindriks

26 papers receiving 1.1k citations

Hit Papers

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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.

Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI?

2015 468 citations Rikkert Hindriks, Mohit H. Adhikari et al. NeuroImage profile →

Peers

Countries citing papers authored by Rikkert Hindriks

Since Specialization

Citations

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

Fields of papers citing papers by Rikkert Hindriks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rikkert Hindriks. 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 Rikkert Hindriks. The network helps show where Rikkert Hindriks may publish in the future.

Co-authorship network of co-authors of Rikkert Hindriks

This figure shows the co-authorship network connecting the top 25 collaborators of Rikkert Hindriks. A scholar is included among the top collaborators of Rikkert Hindriks 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 Rikkert Hindriks. Rikkert Hindriks 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

#	Work	Indexed citations
1	Characterization of Second-Order Mixing Effects in Reconstructed Cross-Spectra of Random Neural Fields 2024 ·Brain Topography ·Rikkert Hindriks	0
2	Dissociation between phase and power correlation networks in the human brain is driven by co-occurrent bursts 2023 ·Communications Biology ·Rikkert Hindriks, Prejaas Tewarie	11
3	Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data 2023 ·NeuroImage ·Prejaas Tewarie, Rikkert Hindriks, (unknown), Stamatios N. Sotiropoulos, Morten L. Kringelbach, Gustavo Deco	5
4	Graph neural fields: A framework for spatiotemporal dynamical models on the human connectome 2021 ·PLoS Computational Biology ·(unknown), Selen Atasoy, Morten L. Kringelbach, Rikkert Hindriks	13
5	Relation between the phase-lag index and lagged coherence for assessing interactions in EEG and MEG data 2021 ·SHILAP Revista de lepidopterología ·Rikkert Hindriks	7
6	Lag-invariant detection of interactions in spatially-extended systems using linear inverse modeling 2020 ·PLoS ONE ·Rikkert Hindriks	3
7	A methodological framework for inverse-modeling of propagating cortical activity using MEG/EEG 2020 ·NeuroImage ·Rikkert Hindriks	5
8	Linear distributed source modeling of local field potentials recorded with intra-cortical electrode arrays 2017 ·PLoS ONE ·Rikkert Hindriks, Joscha T. Schmiedt, Xerxes D. Arsiwalla, Alina Peter, Paul F. M. J. Verschure, Pascal Fries, Michael C. Schmid, Gustavo Deco	8
9	Effect of Field Spread on Resting-State Magneto Encephalography Functional Network Analysis: A Computational Modeling Study 2017 ·Brain Connectivity ·(unknown), Rikkert Hindriks, (unknown), Eric Maris, Freek van Ede, Alessandra Griffa, Patric Hagmann, Gustavo Deco	9
10	Increased Stability and Breakdown of Brain Effective Connectivity During Slow-Wave Sleep: Mechanistic Insights from Whole-Brain Computational Modelling 2017 ·Scientific Reports ·(unknown), Rikkert Hindriks, Helmut Laufs, Enzo Tagliazucchi, Gerald J. Hahn, Adrián Ponce‐Alvarez, Angus Stevner, Morten L. Kringelbach, Gustavo Deco	85
11	Discrepancies between Multi-Electrode LFP and CSD Phase-Patterns: A Forward Modeling Study 2016 ·Frontiers in Neural Circuits ·Rikkert Hindriks, Xerxes D. Arsiwalla, Theofanis I. Panagiotaropoulos, Michel Besserve, Paul F. M. J. Verschure, Nikos K. Logothetis, Gustavo Deco	18
12	Hippocampal Sharp-Wave Ripples Influence Selective Activation of the Default Mode Network 2016 ·Current Biology ·Raphael Kaplan, Mohit H. Adhikari, Rikkert Hindriks, Dante Mantini, Yusuke Murayama, Nikos K. Logothetis, Gustavo Deco	73
13	Can sliding-window correlations reveal dynamic functional connectivity in resting-state fMRI? breakdown → 2015 ·NeuroImage ·Rikkert Hindriks, Mohit H. Adhikari, Yusuke Murayama, Marco Ganzetti, Dante Mantini, Nikos K. Logothetis, Gustavo Deco	468
14	Intra-cortical propagation of EEG alpha oscillations 2014 ·NeuroImage ·Rikkert Hindriks, Michel J. A. M. van Putten, Gustavo Deco	47
15	Role of white-matter pathways in coordinating alpha oscillations in resting visual cortex 2014 ·NeuroImage ·Rikkert Hindriks, Mark W. Woolrich, Henry Luckhoo, Morten Joensson, H. Mohseni, Morten L. Kringelbach, Gustavo Deco	36
16	Generalized periodic discharges after acute cerebral ischemia: Reflection of selective synaptic failure? 2013 ·Clinical Neurophysiology ·Marleen C. Tjepkema‐Cloostermans, Rikkert Hindriks, Jeannette Hofmeijer, Michel J. A. M. van Putten	39
17	Thalamo-cortical mechanisms underlying changes in amplitude and frequency of human alpha oscillations 2012 ·NeuroImage ·Rikkert Hindriks, Michel J. A. M. van Putten	74
18	Meanfield modeling of propofol-induced changes in spontaneous EEG rhythms 2012 ·NeuroImage ·Rikkert Hindriks, Michel J. A. M. van Putten	54
19	Dynamics underlying spontaneous human alpha oscillations: A data-driven approach 2011 ·NeuroImage ·Rikkert Hindriks, Fetsje Bijma, Bob W. van Dijk, Ysbrand D. van der Werf, Eus J.W. Van Someren, Aad van der Vaart	14
20	Data-driven modeling of phase interactions between spontaneous MEG oscillations 2011 ·Human Brain Mapping ·Rikkert Hindriks, Fetsje Bijma, Bob W. van Dijk, Cornelis J. Stam, Ysbrand D. van der Werf, Eus J.W. Van Someren, Jan C. de Munck, Aad van der Vaart	10

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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