Deborah Vickers

2.5k total citations
81 papers, 1.8k citations indexed

About

Deborah Vickers is a scholar working on Cognitive Neuroscience, Speech and Hearing and Sensory Systems. According to data from OpenAlex, Deborah Vickers has authored 81 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Cognitive Neuroscience, 43 papers in Speech and Hearing and 36 papers in Sensory Systems. Recurrent topics in Deborah Vickers's work include Hearing Loss and Rehabilitation (75 papers), Noise Effects and Management (43 papers) and Hearing, Cochlea, Tinnitus, Genetics (36 papers). Deborah Vickers is often cited by papers focused on Hearing Loss and Rehabilitation (75 papers), Noise Effects and Management (43 papers) and Hearing, Cochlea, Tinnitus, Genetics (36 papers). Deborah Vickers collaborates with scholars based in United Kingdom, Australia and Netherlands. Deborah Vickers's co-authors include Brian C. J. Moore, Brian R. Glasberg, J. I. Alcantara, B. C. J. Moore, Martina Huss, Thomas Baer, Andrew J. Oxenham, Brian C. J. Moore, Magdalena Wojtczak and Christopher J. Plack and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Deborah Vickers

75 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Vickers United Kingdom 23 1.7k 1.1k 952 389 173 81 1.8k
Shelley Witt United States 22 2.1k 1.2× 1.0k 1.0× 1.3k 1.4× 494 1.3× 264 1.5× 41 2.2k
Lendra Friesen Canada 16 1.5k 0.9× 740 0.7× 588 0.6× 490 1.3× 92 0.5× 24 1.6k
S. Theo Goverts Netherlands 21 1.2k 0.7× 606 0.6× 858 0.9× 301 0.8× 233 1.3× 51 1.5k
Jayne B. Ahlstrom United States 25 2.2k 1.3× 749 0.7× 1.0k 1.1× 402 1.0× 156 0.9× 69 2.4k
Brent Edwards United States 16 1.9k 1.1× 549 0.5× 1.2k 1.3× 480 1.2× 213 1.2× 62 2.0k
J.P.L. Brokx Netherlands 18 1.1k 0.6× 558 0.5× 484 0.5× 277 0.7× 246 1.4× 38 1.2k
Francis Kuk United States 19 1.5k 0.9× 880 0.8× 788 0.8× 426 1.1× 152 0.9× 94 1.7k
Kirsten C. Wagener Germany 21 1.4k 0.8× 535 0.5× 865 0.9× 660 1.7× 112 0.6× 63 1.5k
Erin C. Schafer United States 22 1.3k 0.8× 447 0.4× 702 0.7× 528 1.4× 234 1.4× 87 1.4k
Aaron J. Parkinson United States 20 2.4k 1.4× 1.6k 1.5× 1.4k 1.4× 566 1.5× 261 1.5× 36 2.4k

Countries citing papers authored by Deborah Vickers

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Vickers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Vickers

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Vickers. A scholar is included among the top collaborators of Deborah Vickers 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 Deborah Vickers. Deborah Vickers 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
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Smith, Matthew E., Deborah Vickers, David R. White, et al.. (2024). Protocol for a multicentre randomised controlled trial of STeroid Administration Routes For Idiopathic Sudden sensorineural Hearing loss: The STARFISH trial. PLoS ONE. 19(2). e0290480–e0290480. 1 indexed citations
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Picinali, Lorenzo, Merle Mahon, Sarah Somerset, et al.. (2024). Virtual reality games for spatial hearing training in children and young people with bilateral cochlear implants: the “Both Ears (BEARS)” approach. Frontiers in Neuroscience. 18. 1491954–1491954.
5.
Vickers, Deborah, J. G. Toner, Anna Skibińska, et al.. (2023). Medical Safety and Device Reliability of Active Transcutaneous Middle Ear and Bone Conducting Implants: A Long-Term Multi-Centre Observational Study. Applied Sciences. 13(14). 8279–8279.
6.
Hu, Hongmei, et al.. (2023). A model framework for simulating spatial hearing of bilateral cochlear implant users. Acta Acustica. 7. 42–42. 4 indexed citations
7.
Bizley, Jennifer K., et al.. (2022). Factors Affecting the Use of Speech Testing in Adult Audiology. American Journal of Audiology. 31(3). 528–540. 12 indexed citations
8.
Briaire, Jeroen J., et al.. (2022). Diagnostic value of preoperative measures in selecting post-lingually deafened candidates for cochlear implantation – a different approach. International Journal of Audiology. 62(10). 983–991. 2 indexed citations
9.
Undurraga, Jaime A., et al.. (2022). Simultaneous subcortical and cortical electrophysiological recordings of spectro-temporal processing in humans. Frontiers in Neurology. 13. 928158–928158. 5 indexed citations
10.
Undurraga, Jaime A., et al.. (2021). Characterizing Cochlear implant artefact removal from EEG recordings using a real human model. MethodsX. 8. 101369–101369. 5 indexed citations
11.
Gaudrain, Étienne, et al.. (2021). School-age children benefit from voice gender cue differences for the perception of speech in competing speech. The Journal of the Acoustical Society of America. 149(5). 3328–3344. 16 indexed citations
12.
Vickers, Deborah, et al.. (2021). Assessment of the cochlear implant pathway for newborn hearing screening referrals. Cochlear Implants International. 22(6). 345–352. 4 indexed citations
13.
Undurraga, Jaime A., et al.. (2020). Neural encoding of spectro-temporal cues at slow and near speech-rate in cochlear implant users. Hearing Research. 403. 108160–108160. 12 indexed citations
14.
Gaudrain, Étienne, et al.. (2020). Development of voice perception is dissociated across gender cues in school-age children. Scientific Reports. 10(1). 5074–5074. 24 indexed citations
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Koohi, Nehzat, Deborah Vickers, Jason D. Warren, David J. Werring, & Doris‐Eva Bamiou. (2017). Long-term use benefits of personal frequency-modulated systems for speech in noise perception in patients with stroke with auditory processing deficits: a non-randomised controlled trial study. BMJ Open. 7(4). e013003–e013003. 13 indexed citations
17.
Heywood, R., et al.. (2016). Assessment and Outcome in Non-Traditional Cochlear Implant Candidates. Audiology and Neurotology. 21(6). 383–390. 14 indexed citations
18.
Greenberg, David, et al.. (2016). Developing an assessment approach for perceptual changes to tinnitus sound characteristics for adult cochlear implant recipients. International Journal of Audiology. 55(7). 392–404. 4 indexed citations
19.
Lovett, Rosemary, Quentin Summerfield, & Deborah Vickers. (2013). Test-retest reliability of the Toy Discrimination Test with a masker of noise or babble in children with hearing impairment. International Journal of Audiology. 52(6). 377–384. 8 indexed citations
20.
Vickers, Deborah, et al.. (2009). Relative importance of different spectral bands to consonant identification: Relevance for frequency transposition in hearing aids. International Journal of Audiology. 48(6). 334–345. 9 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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