Maria Chait

3.9k total citations
71 papers, 2.1k citations indexed

About

Maria Chait is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Maria Chait has authored 71 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Cognitive Neuroscience, 28 papers in Experimental and Cognitive Psychology and 10 papers in Signal Processing. Recurrent topics in Maria Chait's work include Neuroscience and Music Perception (47 papers), Neural dynamics and brain function (34 papers) and Hearing Loss and Rehabilitation (32 papers). Maria Chait is often cited by papers focused on Neuroscience and Music Perception (47 papers), Neural dynamics and brain function (34 papers) and Hearing Loss and Rehabilitation (32 papers). Maria Chait collaborates with scholars based in United Kingdom, United States and France. Maria Chait's co-authors include Timothy D. Griffiths, Micha Heilbron, David Poeppel, Jonathan Z. Simon, Nicolas Barascud, Karl Friston, Sijia Zhao, Ediz Sohoglu, Marcus T. Pearce and Alain de Cheveigné and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Maria Chait

69 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maria Chait United Kingdom 27 1.9k 679 261 165 148 71 2.1k
Joel S. Snyder United States 25 2.1k 1.1× 738 1.1× 424 1.6× 151 0.9× 90 0.6× 81 2.3k
Stefan Uppenkamp Germany 20 1.9k 1.0× 500 0.7× 230 0.9× 241 1.5× 407 2.8× 54 2.0k
Anne Caclin France 26 1.8k 0.9× 740 1.1× 273 1.0× 78 0.5× 116 0.8× 74 2.0k
Alexandra Bendixen Germany 26 2.3k 1.2× 1.0k 1.5× 223 0.9× 83 0.5× 90 0.6× 87 2.4k
Stephen R. Arnott Canada 22 1.9k 1.0× 862 1.3× 89 0.3× 110 0.7× 110 0.7× 66 2.1k
Adam Tierney United Kingdom 26 1.9k 1.0× 766 1.1× 258 1.0× 90 0.5× 90 0.6× 87 2.3k
Gary R. Kidd United States 22 1.5k 0.8× 509 0.7× 464 1.8× 477 2.9× 287 1.9× 66 1.7k
Molly J. Henry Germany 25 1.9k 1.0× 634 0.9× 158 0.6× 61 0.4× 87 0.6× 72 2.0k
Patrick May Finland 24 2.5k 1.3× 919 1.4× 303 1.2× 63 0.4× 148 1.0× 75 2.6k
Marc Schönwiesner Canada 23 1.7k 0.9× 571 0.8× 128 0.5× 99 0.6× 147 1.0× 48 1.9k

Countries citing papers authored by Maria Chait

Since Specialization
Citations

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

Fields of papers citing papers by Maria Chait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Chait

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Chait. A scholar is included among the top collaborators of Maria Chait 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 Maria Chait. Maria Chait 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.
Milne, Alice E., Maria Chait, & Christopher M. Conway. (2025). Probing sensitivity to statistical structure in rapid sound sequences using deviant detection tasks.. Journal of Experimental Psychology Learning Memory and Cognition. 52(3). 335–351. 1 indexed citations
2.
Bianco, Roberta, et al.. (2025). The Effect of Previously Encountered Sensory Information on Neural Representations of Predictability: Evidence From Human EEG. European Journal of Neuroscience. 62(10). e70300–e70300. 1 indexed citations
3.
Zhao, Sijia, et al.. (2024). Cross-Modal Interactions Between Auditory Attention and Oculomotor Control. Journal of Neuroscience. 44(11). e1286232024–e1286232024. 4 indexed citations
4.
Hu, Mingyue, et al.. (2024). Concurrent Encoding of Sequence Predictability and Event-Evoked Prediction Error in Unfolding Auditory Patterns. Journal of Neuroscience. 44(14). e1894232024–e1894232024. 3 indexed citations
5.
Pomper, Ulrich, et al.. (2023). Neural dynamics underlying successful auditory short‐term memory performance. European Journal of Neuroscience. 58(8). 3859–3878. 2 indexed citations
6.
Bianco, Roberta, et al.. (2021). Reward Enhances Online Participants’ Engagement With a Demanding Auditory Task. Trends in Hearing. 25. 1851339285–1851339285. 14 indexed citations
7.
Milne, Alice E., et al.. (2021). Sustained Pupil Responses Are Modulated by Predictability of Auditory Sequences. Journal of Neuroscience. 41(28). 6116–6127. 16 indexed citations
8.
Harrison, Peter M. C., Roberta Bianco, Maria Chait, & Marcus T. Pearce. (2020). PPM-Decay: A computational model of auditory prediction with memory decay. PLoS Computational Biology. 16(11). e1008304–e1008304. 24 indexed citations
9.
Sohoglu, Ediz, Sukhbinder Kumar, Maria Chait, & Timothy D. Griffiths. (2020). Multivoxel codes for representing and integrating acoustic features in human cortex. NeuroImage. 217. 116661–116661. 9 indexed citations
10.
Zhao, Sijia, et al.. (2019). Pupillometry as an Objective Measure of Sustained Attention in Young and Older Listeners. Trends in Hearing. 23. 2760899527–2760899527. 38 indexed citations
11.
Zhao, Sijia, Lucas Benjamin, Elia Benhamou, et al.. (2019). Rapid Ocular Responses Are Modulated by Bottom-up-Driven Auditory Salience. Journal of Neuroscience. 39(39). 7703–7714. 27 indexed citations
12.
Auksztulewicz, Ryszard, Nicolas Barascud, Gerald Cooray, et al.. (2017). The Cumulative Effects of Predictability on Synaptic Gain in the Auditory Processing Stream. Journal of Neuroscience. 37(28). 6751–6760. 36 indexed citations
13.
Barascud, Nicolas, Marcus T. Pearce, Timothy D. Griffiths, Karl Friston, & Maria Chait. (2016). Brain responses in humans reveal ideal observer-like sensitivity to complex acoustic patterns. Proceedings of the National Academy of Sciences. 113(5). E616–25. 160 indexed citations
14.
Teki, Sundeep, et al.. (2016). Neural Correlates of Auditory Figure-Ground Segregation Based on Temporal Coherence. Cerebral Cortex. 26(9). 3669–3680. 57 indexed citations
15.
Barascud, Nicolas, et al.. (2015). Sound segregation via embedded repetition is robust to inattention.. Journal of Experimental Psychology Human Perception & Performance. 42(3). 386–400. 17 indexed citations
16.
Chait, Maria, et al.. (2011). Stimulus-specific adaptation measured in the guinea pig using magnetoencephalography. UCL Discovery (University College London). 1 indexed citations
17.
Patel, Minal & Maria Chait. (2010). Retroactive adjustment of perceived time. Cognition. 119(1). 125–130. 5 indexed citations
18.
Chait, Maria, David Poeppel, Alain de Cheveigné, & Jonathan Z. Simon. (2007). Processing Asymmetry of Transitions between Order and Disorder in Human Auditory Cortex. Journal of Neuroscience. 27(19). 5207–5214. 60 indexed citations
19.
Chait, Maria, David Poeppel, Alain de Cheveigné, & Jonathan Z. Simon. (2005). Human Auditory Cortical Processing of Changes in Interaural Correlation. Journal of Neuroscience. 25(37). 8518–8527. 54 indexed citations
20.
Chait, Maria, David Poeppel, & Jonathan Z. Simon. (2005). Neural Response Correlates of Detection of Monaurally and Binaurally Created Pitches in Humans. Cerebral Cortex. 16(6). 835–848. 63 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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