Dana Boebinger

671 total citations
11 papers, 354 citations indexed

About

Dana Boebinger is a scholar working on Cognitive Neuroscience, Signal Processing and Social Psychology. According to data from OpenAlex, Dana Boebinger has authored 11 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 5 papers in Signal Processing and 1 paper in Social Psychology. Recurrent topics in Dana Boebinger's work include Neuroscience and Music Perception (8 papers), Neural dynamics and brain function (6 papers) and Hearing Loss and Rehabilitation (6 papers). Dana Boebinger is often cited by papers focused on Neuroscience and Music Perception (8 papers), Neural dynamics and brain function (6 papers) and Hearing Loss and Rehabilitation (6 papers). Dana Boebinger collaborates with scholars based in United States, United Kingdom and Portugal. Dana Boebinger's co-authors include Sophie K. Scott, Samuel Evans, Josh H. McDermott, César F. Lima, Stuart Rosen, Tom Manly, Nancy Kanwisher, Sam Norman-Haignere, Jenelle Feather and Hideki Kawahara and has published in prestigious journals such as Nature Communications, Current Biology and Journal of Neurophysiology.

In The Last Decade

Dana Boebinger

10 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana Boebinger United States 7 313 91 66 51 44 11 354
Malinda J. McPherson United States 9 260 0.8× 98 1.1× 85 1.3× 21 0.4× 45 1.0× 12 301
Miia Seppänen Finland 8 408 1.3× 122 1.3× 89 1.3× 22 0.4× 55 1.3× 9 417
Roberta Bianco United Kingdom 12 363 1.2× 101 1.1× 91 1.4× 26 0.5× 67 1.5× 29 435
Kevin J. P. Woods United States 4 278 0.9× 175 1.9× 108 1.6× 52 1.0× 33 0.8× 5 384
Tobias Overath United States 10 479 1.5× 137 1.5× 66 1.0× 17 0.3× 35 0.8× 21 510
Lauren V. Hadley United Kingdom 11 225 0.7× 123 1.4× 32 0.5× 36 0.7× 112 2.5× 28 331
Karine Delhommeau France 6 491 1.6× 141 1.5× 88 1.3× 99 1.9× 22 0.5× 7 532
Kelly L. McDonald Canada 12 732 2.3× 233 2.6× 99 1.5× 129 2.5× 30 0.7× 13 770
Christina D. Fuller Netherlands 10 336 1.1× 76 0.8× 94 1.4× 144 2.8× 36 0.8× 11 364
Philippe Lalitte France 12 463 1.5× 152 1.7× 113 1.7× 18 0.4× 89 2.0× 30 498

Countries citing papers authored by Dana Boebinger

Since Specialization
Citations

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

Fields of papers citing papers by Dana Boebinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Boebinger

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

All Works

11 of 11 papers shown
1.
Tuckute, Greta, Jenelle Feather, Dana Boebinger, & Josh H. McDermott. (2023). Many but not all deep neural network audio models capture brain responses and exhibit correspondence between model stages and brain regions. PLoS Biology. 21(12). e3002366–e3002366. 16 indexed citations
2.
Norman-Haignere, Sam, Jenelle Feather, Dana Boebinger, et al.. (2022). A neural population selective for song in human auditory cortex. Current Biology. 32(7). 1470–1484.e12. 54 indexed citations
4.
Boebinger, Dana, Sam Norman-Haignere, Josh H. McDermott, & Nancy Kanwisher. (2021). Music-selective neural populations arise without musical training. Journal of Neurophysiology. 125(6). 2237–2263. 28 indexed citations
5.
Boebinger, Dana, et al.. (2018). Inharmonic speech reveals the role of harmonicity in the cocktail party problem. Nature Communications. 9(1). 2122–2122. 52 indexed citations
6.
Evans, Samuel, et al.. (2016). Distinct neural systems recruited when speech production is modulated by different masking sounds. The Journal of the Acoustical Society of America. 140(1). 8–19. 19 indexed citations
7.
McDermott, Josh H., et al.. (2016). The role of harmonic spectral structure in the cocktail party problem. The Journal of the Acoustical Society of America. 139(4_Supplement). 2017–2017. 1 indexed citations
8.
Lima, César F., Nadine Lavan, Samuel Evans, et al.. (2015). Feel the Noise: Relating Individual Differences in Auditory Imagery to the Structure and Function of Sensorimotor Systems. Cerebral Cortex. 25(11). 4638–4650. 51 indexed citations
9.
Boebinger, Dana, Samuel Evans, Stuart Rosen, et al.. (2015). Musicians and non-musicians are equally adept at perceiving masked speech. The Journal of the Acoustical Society of America. 137(1). 378–387. 124 indexed citations
10.
Boebinger, Dana, et al.. (2015). Do We Know What We’re Saying? The Roles of Attention and Sensory Information During Speech Production. Psychological Science. 26(12). 1975–1977. 5 indexed citations
11.
Evans, Samuel, Helen E. Nuttall, Kyle Jasmin, et al.. (2014). Does musical enrichment enhance the neural coding of syllables? Neuroscientific interventions and the importance of behavioral data. Frontiers in Human Neuroscience. 8. 964–964. 4 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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