Eric Maris

27.4k total citations · 3 hit papers
84 papers, 18.3k citations indexed

About

Eric Maris is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Eric Maris has authored 84 papers receiving a total of 18.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cognitive Neuroscience, 15 papers in Cellular and Molecular Neuroscience and 12 papers in Artificial Intelligence. Recurrent topics in Eric Maris's work include Neural dynamics and brain function (46 papers), EEG and Brain-Computer Interfaces (24 papers) and Functional Brain Connectivity Studies (20 papers). Eric Maris is often cited by papers focused on Neural dynamics and brain function (46 papers), EEG and Brain-Computer Interfaces (24 papers) and Functional Brain Connectivity Studies (20 papers). Eric Maris collaborates with scholars based in Netherlands, United States and Germany. Eric Maris's co-authors include Robert Oostenveld, Jan‐Mathijs Schoffelen, Pascal Fries, Freek van Ede, Ole Jensen, Floris P. de Lange, Aslı Özyürek, Spencer D. Kelly, Guillén Fernández and Atsuko Takashima and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Eric Maris

84 papers receiving 18.1k citations

Hit Papers

FieldTrip: Open Source Software for Advanced Analysis of ... 2006 2026 2012 2019 2010 2007 2006 2.0k 4.0k 6.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Eric Maris Netherlands 33 15.4k 2.8k 2.1k 1.6k 1.3k 84 18.3k
Jan‐Mathijs Schoffelen Netherlands 45 16.1k 1.0× 1.7k 0.6× 3.1k 1.5× 839 0.5× 971 0.7× 102 17.8k
Arnaud Delorme United States 44 23.9k 1.6× 4.3k 1.5× 2.7k 1.2× 1.4k 0.9× 2.4k 1.8× 143 27.7k
Rafael Malach Israel 70 20.7k 1.3× 3.5k 1.3× 2.4k 1.1× 921 0.6× 2.0k 1.5× 181 22.9k
Julie A. Fiez United States 51 10.3k 0.7× 2.2k 0.8× 1.3k 0.6× 2.7k 1.7× 1.4k 1.0× 119 13.6k
Charan Ranganath United States 75 17.6k 1.1× 2.3k 0.8× 4.5k 2.1× 1.9k 1.2× 1.4k 1.1× 191 20.6k
Neal J. Cohen United States 64 12.6k 0.8× 2.1k 0.8× 3.3k 1.5× 3.0k 1.9× 1.4k 1.1× 192 18.5k
Randall C. O’Reilly United States 56 13.2k 0.9× 1.9k 0.7× 4.8k 2.2× 2.0k 1.3× 1.4k 1.1× 127 16.7k
Don M. Tucker United States 58 10.9k 0.7× 2.3k 0.8× 1.5k 0.7× 1.1k 0.7× 1.5k 1.1× 195 15.0k
Sander Nieuwenhuis Netherlands 58 14.4k 0.9× 3.8k 1.3× 1.1k 0.5× 1.2k 0.8× 2.0k 1.5× 125 17.7k
Anna C. Nobre United Kingdom 84 21.9k 1.4× 4.6k 1.6× 1.1k 0.5× 2.1k 1.4× 2.0k 1.5× 336 25.3k

Countries citing papers authored by Eric Maris

Since Specialization
Citations

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

Fields of papers citing papers by Eric Maris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Maris

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

All Works

20 of 20 papers shown
1.
Keil, Andreas, Edward M. Bernat, Michael X Cohen, et al.. (2022). Recommendations and publication guidelines for studies using frequency domain and time‐frequency domain analyses of neural time series. Psychophysiology. 59(5). e14052–e14052. 68 indexed citations
2.
Tomassini, Alice, Eric Maris, Pauline M. Hilt, Luciano Fadiga, & Alessandro D’Ausilio. (2020). Visual detection is locked to the internal dynamics of cortico-motor control. PLoS Biology. 18(10). e3000898–e3000898. 16 indexed citations
3.
Ambrogioni, Luca, Umut Güçlü, Yağmur Güçlütürk, et al.. (2018). Wasserstein Variational Inference. UvA-DARE (University of Amsterdam). 31. 2478–2487. 5 indexed citations
4.
Tomassini, Alice, Luca Ambrogioni, W. Pieter Medendorp, & Eric Maris. (2017). Theta oscillations locked to intended actions rhythmically modulate perception. eLife. 6. 79 indexed citations
5.
Hindriks, Rikkert, Eric Maris, Freek van Ede, et al.. (2017). Effect of Field Spread on Resting-State Magneto Encephalography Functional Network Analysis: A Computational Modeling Study. Brain Connectivity. 7(9). 541–557. 9 indexed citations
6.
Ambrogioni, Luca, et al.. (2017). Bayesian model ensembling using meta-trained recurrent neural networks. Radboud Repository (Radboud University). 1–5. 1 indexed citations
7.
Ede, Freek van & Eric Maris. (2016). Physiological Plausibility Can Increase Reproducibility in Cognitive Neuroscience. Trends in Cognitive Sciences. 20(8). 567–569. 25 indexed citations
8.
Meij, Roemer van der, Freek van Ede, & Eric Maris. (2016). Rhythmic Components in Extracranial Brain Signals Reveal Multifaceted Task Modulation of Overlapping Neuronal Activity. PLoS ONE. 11(6). e0154881–e0154881. 18 indexed citations
9.
Ede, Freek van, et al.. (2015). Identifying neuronal oscillations using rhythmicity. NeuroImage. 118. 256–267. 42 indexed citations
10.
Dimitriadis, Georgios, et al.. (2014). Sensory and cognitive neurophysiology in rats. Part 2: Validation and demonstration. Journal of Neuroscience Methods. 232. 47–57. 5 indexed citations
11.
Ede, Freek van & Eric Maris. (2013). Somatosensory Demands Modulate Muscular Beta Oscillations, Independent of Motor Demands. Journal of Neuroscience. 33(26). 10849–10857. 31 indexed citations
12.
Meij, Roemer van der, Michael J. Kahana, & Eric Maris. (2012). Phase–Amplitude Coupling in Human Electrocorticography Is Spatially Distributed and Phase Diverse. Journal of Neuroscience. 32(1). 111–123. 99 indexed citations
13.
Todorović, Ana, Freek van Ede, Eric Maris, & Floris P. de Lange. (2011). Prior Expectation Mediates Neural Adaptation to Repeated Sounds in the Auditory Cortex: An MEG Study. Journal of Neuroscience. 31(25). 9118–9123. 295 indexed citations
14.
Sanz‐Arigita, Ernesto, Menno M. Schoonheim, Jessica S. Damoiseaux, et al.. (2010). Loss of ‘Small-World’ Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity. PLoS ONE. 5(11). e13788–e13788. 466 indexed citations
15.
Tuladhar, Anil M., Niels ter Huurne, Jan‐Mathijs Schoffelen, et al.. (2007). Parieto‐occipital sources account for the increase in alpha activity with working memory load. Human Brain Mapping. 28(8). 785–792. 281 indexed citations
16.
Maris, Eric. (1998). Covariance adjustment versus gain scores—revisited.. Psychological Methods. 3(3). 309–327. 87 indexed citations
18.
Candel, Math J. J. M. & Eric Maris. (1997). Perceptual analysis of two-way two-mode frequency data: probability matrix decomposition and two alternatives. International Journal of Research in Marketing. 14(4). 321–339. 9 indexed citations
19.
Egmond, René van, Dirk-Jan Povel, & Eric Maris. (1996). The influence of height and key on the perceptual similarity of transposed melodies. Perception & Psychophysics. 58(8). 1252–1259. 13 indexed citations
20.
Maris, Eric. (1995). Psychometric Latent Response Models. Psychometrika. 60(4). 523–547. 90 indexed citations

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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