Matthew G. Wisniewski

518 total citations
44 papers, 375 citations indexed

About

Matthew G. Wisniewski is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Matthew G. Wisniewski has authored 44 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 8 papers in Signal Processing and 8 papers in Experimental and Cognitive Psychology. Recurrent topics in Matthew G. Wisniewski's work include Neural dynamics and brain function (20 papers), Neuroscience and Music Perception (20 papers) and Hearing Loss and Rehabilitation (15 papers). Matthew G. Wisniewski is often cited by papers focused on Neural dynamics and brain function (20 papers), Neuroscience and Music Perception (20 papers) and Hearing Loss and Rehabilitation (15 papers). Matthew G. Wisniewski collaborates with scholars based in United States, Canada and Germany. Matthew G. Wisniewski's co-authors include Nandini Iyer, Eduardo Mercado, Eric R. Thompson, Barbara A. Church, Alexandria C. Zakrzewski, Brian D. Simpson, Justin R. Estepp, Scott Makeig, Milen L. Radell and Klaus Gramann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and NeuroImage.

In The Last Decade

Matthew G. Wisniewski

39 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew G. Wisniewski United States 12 309 60 59 43 39 44 375
Cheng Luo China 8 402 1.3× 84 1.4× 127 2.2× 28 0.7× 48 1.2× 21 494
Emmanuel Ponsot France 9 183 0.6× 38 0.6× 94 1.6× 29 0.7× 19 0.5× 23 238
Trevor Agus France 13 456 1.5× 114 1.9× 147 2.5× 90 2.1× 49 1.3× 25 519
Bahar Khalighinejad United States 7 329 1.1× 96 1.6× 64 1.1× 18 0.4× 22 0.6× 9 395
Tobias Overath United States 10 479 1.6× 66 1.1× 137 2.3× 17 0.4× 42 1.1× 21 510
Johanna M. Rimmele Germany 12 573 1.9× 58 1.0× 217 3.7× 19 0.4× 40 1.0× 24 610
Dana Boebinger United States 7 313 1.0× 66 1.1× 91 1.5× 51 1.2× 19 0.5× 11 354
Alice E. Milne United Kingdom 10 263 0.9× 33 0.6× 98 1.7× 37 0.9× 117 3.0× 16 386
Léo Varnet France 13 353 1.1× 80 1.3× 72 1.2× 112 2.6× 38 1.0× 30 419
Manuela Jaeger Germany 10 340 1.1× 98 1.6× 77 1.3× 25 0.6× 8 0.2× 15 368

Countries citing papers authored by Matthew G. Wisniewski

Since Specialization
Citations

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

Fields of papers citing papers by Matthew G. Wisniewski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew G. Wisniewski. 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 Matthew G. Wisniewski. The network helps show where Matthew G. Wisniewski may publish in the future.

Co-authorship network of co-authors of Matthew G. Wisniewski

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew G. Wisniewski. A scholar is included among the top collaborators of Matthew G. Wisniewski 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 Matthew G. Wisniewski. Matthew G. Wisniewski 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.
Wisniewski, Matthew G., et al.. (2024). Finding tau rhythms in EEG: An independent component analysis approach. Human Brain Mapping. 45(2). e26572–e26572. 6 indexed citations
2.
Zakrzewski, Alexandria C., et al.. (2024). Not fully remembered, but not forgotten: interfering sounds worsen but do not eliminate the representation of pitch in working memory. Attention Perception & Psychophysics. 86(3). 855–865. 1 indexed citations
3.
Wisniewski, Matthew G., Stefano Volpi, Eyal Muscal, et al.. (2022). Outcomes After SARS-CoV-2 Vaccination Among Children With a History of Multisystem Inflammatory Syndrome. JAMA Network Open. 5(3). e224750–e224750. 9 indexed citations
4.
Wisniewski, Matthew G., et al.. (2020). Neural and behavioral correlates of change detection following training with complex auditory scenes. The Journal of the Acoustical Society of America. 148(4_Supplement). 2466–2467. 1 indexed citations
5.
Wisniewski, Matthew G., et al.. (2020). Auditory detection learning is accompanied by plasticity in the auditory evoked potential. Neuroscience Letters. 721. 134781–134781. 11 indexed citations
6.
Zakrzewski, Alexandria C., Matthew G. Wisniewski, Helen Williams, & Jane M. Berry. (2019). Artificial neural networks reveal individual differences in metacognitive monitoring of memory. PLoS ONE. 14(7). e0220526–e0220526. 5 indexed citations
7.
Harel, Assaf, et al.. (2019). Pre-stimulus brain state predicts auditory pattern identification accuracy. NeuroImage. 199. 512–520. 8 indexed citations
8.
Wisniewski, Matthew G., Barbara A. Church, Eduardo Mercado, Milen L. Radell, & Alexandria C. Zakrzewski. (2019). Easy-to-hard effects in perceptual learning depend upon the degree to which initial trials are “easy”. Psychonomic Bulletin & Review. 26(6). 1889–1895. 10 indexed citations
9.
Zakrzewski, Alexandria C., Matthew G. Wisniewski, Nandini Iyer, & Brian D. Simpson. (2018). Confidence tracks sensory- and decision-related ERP dynamics during auditory detection. Brain and Cognition. 129. 49–58. 12 indexed citations
10.
Wisniewski, Matthew G., et al.. (2015). Frontal midline θ power as an index of listening effort. Neuroreport. 26(2). 94–99. 55 indexed citations
11.
Wisniewski, Matthew G., Eduardo Mercado, Barbara A. Church, Klaus Gramann, & Scott Makeig. (2014). Brain dynamics that correlate with effects of learning on auditory distance perception. Frontiers in Neuroscience. 8. 396–396. 12 indexed citations
12.
Wisniewski, Matthew G., Barbara A. Church, & Eduardo Mercado. (2014). Individual differences during acquisition predict shifts in generalization. Behavioural Processes. 104. 26–34. 11 indexed citations
13.
Wisniewski, Matthew G., et al.. (2013). Exploring the capacity of neural networks to recognize objects from dolphin echoes across multiple orientations. The Journal of the Acoustical Society of America. 133(5_Supplement). 3405–3405. 1 indexed citations
14.
Wisniewski, Matthew G., et al.. (2013). How soon they forget: changes to beliefs after learning about tobacco. Psychology Health & Medicine. 18(5). 552–557. 1 indexed citations
15.
16.
Church, Barbara A., et al.. (2012). Temporal dynamics in auditory perceptual learning: Impact of sequencing and incidental learning.. Journal of Experimental Psychology Learning Memory and Cognition. 39(1). 270–276. 19 indexed citations
17.
Wisniewski, Matthew G., Eduardo Mercado, Klaus Gramann, & Scott Makeig. (2012). Familiarity with Speech Affects Cortical Processing of Auditory Distance Cues and Increases Acuity. PLoS ONE. 7(7). e41025–e41025. 14 indexed citations
18.
Wisniewski, Matthew G., Milen L. Radell, Lauren M. Guillette, Christopher B. Sturdy, & Eduardo Mercado. (2011). Predicting shifts in generalization gradients with perceptrons. Learning & Behavior. 40(2). 128–144. 15 indexed citations
19.
Wisniewski, Matthew G., Barbara A. Church, & Eduardo Mercado. (2010). Temporal dynamics of generalization and representational distortion. Psychonomic Bulletin & Review. 17(6). 809–814. 8 indexed citations
20.
Wisniewski, Matthew G., Barbara A. Church, & Eduardo Mercado. (2009). Learning-related shifts in generalization gradients for complex sounds. Learning & Behavior. 37(4). 325–335. 19 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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