Eric Maris
- Cognitive Neuroscience top 0.05%
- Neural dynamics and brain function 46
- EEG and Brain-Computer Interfaces 24
- Functional Brain Connectivity Studies 20
- Neural and Behavioral Psychology Studies 7
- Neuroscience and Music Perception 6
- Sensory Systems top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neural Engineering 7
- Neuroscience and Neuropharmacology Research 6
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- Statistical Methods and Bayesian Inference 7
- Co-authors
- Robert OostenveldJan‐Mathijs SchoffelenPascal FriesFreek van EdeOle JensenFloris P. de LangeAslı ÖzyürekSpencer D. Kelly
- Partner nations
- NetherlandsUnited StatesGermany
In The Last Decade
Eric Maris
84 papers receiving 18.1k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Cognitive Neuroscience 15.4k
- Experimental and Cognitive Psychology 2.8k
- Sensory Systems 612
- Developmental and Educational Psychology 1.6k
- Cellular and Molecular Neuroscience 2.1k
Countries citing papers authored by Eric Maris
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
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
The 25 scholars most cited alongside Eric Maris, 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 | 2022 | 68 | |
| 2 | 2020 | 16 | |
| 3 | 2018 | 5 | |
| 4 | 2017 | 79 | |
| 5 | 2017 | 9 | |
| 6 | Bayesian model ensembling using meta-trained recurrent neural networks | 2017 | 1 |
| 7 | 2016 | 25 | |
| 8 | 2016 | 18 | |
| 9 | 2015 | 42 | |
| 10 | 2014 | 5 | |
| 11 | 2013 | 31 | |
| 12 | 2012 | 99 | |
| 13 | 2011 | 295 | |
| 14 | 2010 | 466 | |
| 15 | 2007 | 281 | |
| 16 | 1998 | 87 | |
| 17 | 1998 | 3 | |
| 18 | 1997 | 9 | |
| 19 | 1996 | 13 | |
| 20 | 1995 | 90 |
About Eric Maris
Eric Maris is a scholar working on Cognitive Neuroscience, Statistics and Probability, Cellular and Molecular Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 84 papers that have together received 18.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (46 papers), EEG and Brain-Computer Interfaces (24 papers), Functional Brain Connectivity Studies (20 papers), Neuroscience and Neural Engineering (7 papers), Statistical Methods and Bayesian Inference (7 papers), Neural and Behavioral Psychology Studies (7 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuroscience and Music Perception (6 papers). The work is most often cited by research in Cognitive Neuroscience (15.4k citations), Experimental and Cognitive Psychology (2.8k citations), Sensory Systems (612 citations), Developmental and Educational Psychology (1.6k citations) and Cellular and Molecular Neuroscience (2.1k citations). Eric Maris has collaborated with scholars based in Netherlands, United States and Germany. Frequent 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. Their work appears in journals such as Journal of Neuroscience, NeuroImage, Psychometrika, Journal of Neurophysiology and Psychophysiology.
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.