James W. Dias

907 total citations
41 papers, 603 citations indexed

About

James W. Dias is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems. According to data from OpenAlex, James W. Dias has authored 41 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 17 papers in Experimental and Cognitive Psychology and 9 papers in Sensory Systems. Recurrent topics in James W. Dias's work include Multisensory perception and integration (15 papers), Hearing Loss and Rehabilitation (14 papers) and Hearing, Cochlea, Tinnitus, Genetics (8 papers). James W. Dias is often cited by papers focused on Multisensory perception and integration (15 papers), Hearing Loss and Rehabilitation (14 papers) and Hearing, Cochlea, Tinnitus, Genetics (8 papers). James W. Dias collaborates with scholars based in United States and United Kingdom. James W. Dias's co-authors include Lawrence D. Rosenblum, Kelly C. Harris, Carolyn M. McClaskey, Brian M. Varisco, Judy R. Dubno, Richard W. Sattin, Jane T. Garvin, K.M. Venkat Narayan, M. Kaye Kramer and Lovoria B. Williams and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Journal of Neurophysiology.

In The Last Decade

James W. Dias

40 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James W. Dias United States 14 224 138 105 83 77 41 603
Álvaro Barrera United Kingdom 15 157 0.7× 116 0.8× 3 0.0× 30 0.4× 73 0.9× 45 696
Elizabeth Stewart Australia 15 141 0.6× 71 0.5× 7 0.1× 20 0.2× 74 1.0× 29 588
Carolina Garrett Portugal 17 168 0.8× 37 0.3× 7 0.1× 10 0.1× 138 1.8× 37 955
Alfonso L. Campbell United States 14 183 0.8× 88 0.6× 7 0.1× 9 0.1× 58 0.8× 31 597
Joanna Kowalska Poland 15 229 1.0× 109 0.8× 18 0.2× 14 0.2× 97 1.3× 50 709
Philip L. Rambo United States 6 152 0.7× 68 0.5× 25 0.2× 8 0.1× 14 0.2× 6 442
Katherine Downton United States 10 187 0.8× 206 1.5× 5 0.0× 50 0.6× 72 0.9× 13 588
Leeba Rezaie Iran 15 182 0.8× 260 1.9× 3 0.0× 15 0.2× 29 0.4× 49 638
Colin Buzza United States 6 194 0.9× 71 0.5× 16 0.2× 14 0.2× 124 1.6× 11 592
Julia Hocking Australia 13 683 3.0× 303 2.2× 99 0.9× 13 0.2× 96 1.2× 30 953

Countries citing papers authored by James W. Dias

Since Specialization
Citations

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

Fields of papers citing papers by James W. Dias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James W. Dias. 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 James W. Dias. The network helps show where James W. Dias may publish in the future.

Co-authorship network of co-authors of James W. Dias

This figure shows the co-authorship network connecting the top 25 collaborators of James W. Dias. A scholar is included among the top collaborators of James W. Dias 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 James W. Dias. James W. Dias 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.
Schvartz‐Leyzac, Kara C., Carolyn M. McClaskey, James W. Dias, Bryan E. Pfingst, & Kelly C. Harris. (2025). Contributions of Auditory Nerve Density and Synchrony to Speech Understanding in Older Cochlear Implant Users. Journal of the Association for Research in Otolaryngology. 26(3). 317–329. 1 indexed citations
2.
Dias, James W., et al.. (2022). Sensory tetanisation to induce long‐term‐potentiation‐like plasticity: A review and reassessment of the approach. European Journal of Neuroscience. 56(12). 6115–6140. 7 indexed citations
3.
Harris, Kelly C., et al.. (2022). Afferent Loss, GABA, and Central Gain in Older Adults: Associations with Speech Recognition in Noise. Journal of Neuroscience. 42(38). 7201–7212. 23 indexed citations
4.
McClaskey, Carolyn M., et al.. (2022). Age-related central gain with degraded neural synchrony in the auditory brainstem of mice and humans. Neurobiology of Aging. 115. 50–59. 22 indexed citations
5.
McClaskey, Carolyn M., et al.. (2020). A multi-metric approach to characterizing mouse peripheral auditory nerve function using the auditory brainstem response. Journal of Neuroscience Methods. 346. 108937–108937. 9 indexed citations
6.
Dias, James W., Carolyn M. McClaskey, Mark A. Eckert, Jens H. Jensen, & Kelly C. Harris. (2020). Intra- and interhemispheric white matter tract associations with auditory spatial processing: Distinct normative and aging effects. NeuroImage. 215. 116792–116792. 5 indexed citations
7.
Rosenblum, Lawrence D., et al.. (2018). The role of speech fidelity in the irrelevant sound effect: Insights from noise-vocoded speech backgrounds. Quarterly Journal of Experimental Psychology. 71(10). 2152–2161. 10 indexed citations
8.
Harris, Kelly C., Kenneth I. Vaden, Carolyn M. McClaskey, James W. Dias, & Judy R. Dubno. (2017). Complementary metrics of human auditory nerve function derived from compound action potentials. Journal of Neurophysiology. 119(3). 1019–1028. 22 indexed citations
9.
Rosenblum, Lawrence D., et al.. (2016). Can audio-haptic speech be used to train better auditory speech perception?. The Journal of the Acoustical Society of America. 139(4_Supplement). 2016–2017. 1 indexed citations
10.
Dias, James W., et al.. (2016). Influences of selective adaptation on perception of audiovisual speech. Journal of Phonetics. 56. 75–84. 9 indexed citations
11.
Sattin, Richard W., Lovoria B. Williams, James W. Dias, et al.. (2015). Community Trial of a Faith-Based Lifestyle Intervention to Prevent Diabetes Among African-Americans. Journal of Community Health. 41(1). 87–96. 82 indexed citations
12.
Dias, James W., et al.. (2014). Learning to Recognize Faces by How They Talk. Journal of Vision. 14(10). 1175–1175. 1 indexed citations
13.
Sattin, Richard W., Lovoria B. Williams, James W. Dias, Thomas V. Joshua, & Lucy N. Marion. (2014). Effects on Weight of a Cluster-Randomized, Controlled Trial of a Faith-based Adaption of the Diabetes Prevention Program within African-American Churches. 1 indexed citations
14.
Dias, James W., et al.. (2013). Unconscious imitation as a metric for crossmodal influences: Visibility of the mouth can enhance alignment to audiovisual speech.. Journal of Vision. 13(9). 1073–1073. 1 indexed citations
15.
Dias, James W., et al.. (2013). Experience with a talker can transfer across modalities to facilitate lipreading. Attention Perception & Psychophysics. 75(7). 1359–1365. 10 indexed citations
16.
17.
Dias, James W. & Lawrence D. Rosenblum. (2011). Visual Influences on Interactive Speech Alignment. Perception. 40(12). 1457–1466. 21 indexed citations
18.
Dias, James W. & Lorin Lachs. (2008). Effects of acoustic transformation on cross-modal speech information and audiovisual gain II.. The Journal of the Acoustical Society of America. 124(4_Supplement). 2458–2458. 1 indexed citations
19.
Wells, Bryan J., et al.. (2006). Relation Between Body Mass Index and Clinical Outcome in Acute Myocardial Infarction. The American Journal of Cardiology. 98(4). 474–477. 26 indexed citations
20.
Salkever, David S., Marisa Elena Domino, Barbara J. Burns, et al.. (1999). Assertive community treatment for people with severe mental illness: the effect on hospital use and costs.. PubMed. 34(2). 577–601. 33 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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