Blair Kaneshiro

633 total citations
23 papers, 338 citations indexed

About

Blair Kaneshiro is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Blair Kaneshiro has authored 23 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Signal Processing and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Blair Kaneshiro's work include Neuroscience and Music Perception (10 papers), Music and Audio Processing (8 papers) and Neural dynamics and brain function (7 papers). Blair Kaneshiro is often cited by papers focused on Neuroscience and Music Perception (10 papers), Music and Audio Processing (8 papers) and Neural dynamics and brain function (7 papers). Blair Kaneshiro collaborates with scholars based in United States, Canada and United Kingdom. Blair Kaneshiro's co-authors include Anthony M. Norcia, Patrick Suppes, Jacek Dmochowski, Jonathan Berger, Jin Ha Lee, Bruce D. McCandliss, Fang Wang, Daniel Yamins, Peter J. Kohler and Matthew B. Fitzgerald and has published in prestigious journals such as PLoS ONE, NeuroImage and Scientific Reports.

In The Last Decade

Blair Kaneshiro

21 papers receiving 333 citations

Peers

Blair Kaneshiro

SPS

ECP

DEP

Melanie Pitchford United Kingdom

Michael Thomas Knierim Germany

Melanie Wald‐Fuhrmann Germany

Jordan E. DeLong United States

Carla van de Sande United States

Pia Tikka Finland

Anna Rita Addessi Italy

Ohad Landesman United States

Fatma Deniz United States

Ayşe Candan Şimşek United States

Melanie Pitchford United Kingdom

Blair Kaneshiro

214 ×0.8

27 ×0.6

23 ×0.6

SPS

83 ×2.4

ECP

13 ×0.4

DEP

Citations per year, relative to Blair Kaneshiro Blair Kaneshiro (= 1×) peers Melanie Pitchford

Countries citing papers authored by Blair Kaneshiro

Since Specialization

Citations

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

Fields of papers citing papers by Blair Kaneshiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blair Kaneshiro

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

Kaneshiro, Blair, et al.. (2024). Inter‐subject correlation of electroencephalographic and behavioural responses reflects time‐varying engagement with natural music. European Journal of Neuroscience. 59(12). 3162–3183. 3 indexed citations

Kaneshiro, Blair, et al.. (2024). Designing audio processing strategies to enhance cochlear implant users' music enjoyment. Frontiers in Computer Science. 6.

Wang, Fang, et al.. (2023). Progress in elementary school reading linked to growth of cortical responses to familiar letter combinations within visual word forms. Developmental Science. 27(2). 6 indexed citations

Wang, Fang, et al.. (2022). Lexical and sublexical cortical tuning for print revealed by Steady‐State Visual Evoked Potentials (SSVEPs) in early readers. Developmental Science. 26(4). e13352–e13352. 11 indexed citations

Kaneshiro, Blair, et al.. (2022). User perspectives on critical factors for collaborative playlists. PLoS ONE. 17(1). e0260750–e0260750. 4 indexed citations

Berger, Jonathan, et al.. (2022). Hitting Pause: How User Perceptions of Collaborative Playlists Evolved in the United States During the COVID-19 Pandemic. CHI Conference on Human Factors in Computing Systems. 1–16. 3 indexed citations

Wang, Fang, et al.. (2021). Distinct neural sources underlying visual word form processing as revealed by steady state visual evoked potentials (SSVEP). Scientific Reports. 11(1). 18229–18229. 12 indexed citations

Dmochowski, Jacek, et al.. (2021). Inter-subject Correlation While Listening to Minimalist Music: A Study of Electrophysiological and Behavioral Responses to Steve Reich's Piano Phase. Frontiers in Neuroscience. 15. 702067–702067. 15 indexed citations

Kaneshiro, Blair, et al.. (2021). Social Music Curation That Works. Proceedings of the ACM on Human-Computer Interaction. 5(CSCW1). 1–27. 13 indexed citations

10.

Kaneshiro, Blair, et al.. (2020). Natural music evokes correlated EEG responses reflecting temporal structure and beat. NeuroImage. 214. 116559–116559. 48 indexed citations

11.

Kaneshiro, Blair, et al.. (2020). Time-resolved correspondences between deep neural network layers and EEG measurements in object processing. Vision Research. 172. 27–45. 9 indexed citations

12.

Kaneshiro, Blair, et al.. (2020). Factors influencing classification of frequency following responses to speech and music stimuli. Hearing Research. 398. 108101–108101. 8 indexed citations

13.

Manning, Catherine, Blair Kaneshiro, Peter J. Kohler, et al.. (2019). Neural dynamics underlying coherent motion perception in children and adults. Developmental Cognitive Neuroscience. 38. 100670–100670. 10 indexed citations

14.

Dmochowski, Jacek, et al.. (2017). Nmed-T: A Tempo-Focused Dataset Of Cortical And Behavioral Responses To Naturalistic Music.. Zenodo (CERN European Organization for Nuclear Research). 339–346. 8 indexed citations

15.

Kaneshiro, Blair, et al.. (2017). Characterizing Listener Engagement with Popular Songs Using Large-Scale Music Discovery Data. Frontiers in Psychology. 8. 416–416. 5 indexed citations

16.

Kaneshiro, Blair, et al.. (2017). Decoding Neurally Relevant Musical Features Using Canonical Correlation Analysis.. Zenodo (CERN European Organization for Nuclear Research). 131–138. 8 indexed citations

17.

Kaneshiro, Blair, et al.. (2016). I Said It First: Topological Analysis Of Lyrical Influence Networks.. International Symposium/Conference on Music Information Retrieval. 654–660. 3 indexed citations

18.

Kaneshiro, Blair & Jacek Dmochowski. (2015). Neuroimaging Methods For Music Information Retrieval: Current Findings And Future Prospects.. Zenodo (CERN European Organization for Nuclear Research). 538–544. 7 indexed citations

19.

Kaneshiro, Blair, et al.. (2015). A Representational Similarity Analysis of the Dynamics of Object Processing Using Single-Trial EEG Classification. PLoS ONE. 10(8). e0135697–e0135697. 122 indexed citations

20.

Kaneshiro, Blair, et al.. (2013). Qbt-Extended: An Annotated Dataset Of Melodically Contoured Tapped Queries.. Zenodo (CERN European Organization for Nuclear Research). 329–334.

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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