Bram Van Dun

1.0k total citations
48 papers, 724 citations indexed

About

Bram Van Dun is a scholar working on Cognitive Neuroscience, Signal Processing and Sensory Systems. According to data from OpenAlex, Bram Van Dun has authored 48 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Cognitive Neuroscience, 14 papers in Signal Processing and 11 papers in Sensory Systems. Recurrent topics in Bram Van Dun's work include Hearing Loss and Rehabilitation (28 papers), Neuroscience and Music Perception (12 papers) and Blind Source Separation Techniques (12 papers). Bram Van Dun is often cited by papers focused on Hearing Loss and Rehabilitation (28 papers), Neuroscience and Music Perception (12 papers) and Blind Source Separation Techniques (12 papers). Bram Van Dun collaborates with scholars based in Australia, Belgium and United Kingdom. Bram Van Dun's co-authors include Harvey Dillon, Lyndal Carter, Jan Wouters, Joaquin T. Valderrama, Marc Moonen, Mridula Sharma, Mark Seeto, Ingrid Yeend, Elizabeth Francis Beach and Gary Rance and has published in prestigious journals such as PLoS ONE, The Journal of the Acoustical Society of America and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Bram Van Dun

38 papers receiving 695 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bram Van Dun Australia 16 663 343 160 151 53 48 724
Joshua M. Alexander United States 14 525 0.8× 186 0.5× 310 1.9× 254 1.7× 101 1.9× 46 610
Sabine Hochmuth Germany 11 600 0.9× 207 0.6× 318 2.0× 343 2.3× 104 2.0× 20 666
Christian Berger-Vachon France 13 346 0.5× 153 0.4× 87 0.5× 97 0.6× 92 1.7× 50 532
J. I. Alcantara United Kingdom 9 564 0.9× 355 1.0× 140 0.9× 334 2.2× 65 1.2× 13 605
Melinda C. Anderson United States 13 378 0.6× 105 0.3× 195 1.2× 266 1.8× 31 0.6× 28 456
Erwin L. J. George Netherlands 14 826 1.2× 434 1.3× 261 1.6× 481 3.2× 89 1.7× 32 871
Lyndal Carter Australia 15 710 1.1× 377 1.1× 164 1.0× 352 2.3× 52 1.0× 25 740
Christopher J. Smalt United States 15 477 0.7× 224 0.7× 132 0.8× 151 1.0× 85 1.6× 43 622
Lieber Po‐Hung Li Taiwan 12 322 0.5× 173 0.5× 65 0.4× 98 0.6× 17 0.3× 38 394
Inyong Choi United States 13 467 0.7× 146 0.4× 95 0.6× 157 1.0× 88 1.7× 42 609

Countries citing papers authored by Bram Van Dun

Since Specialization
Citations

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

Fields of papers citing papers by Bram Van Dun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bram Van Dun. 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 Bram Van Dun. The network helps show where Bram Van Dun may publish in the future.

Co-authorship network of co-authors of Bram Van Dun

This figure shows the co-authorship network connecting the top 25 collaborators of Bram Van Dun. A scholar is included among the top collaborators of Bram Van Dun 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 Bram Van Dun. Bram Van Dun 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.
Ching, Teresa Y. C., Ronny Ibrahim, Gary Rance, et al.. (2023). Acoustic change complex for assessing speech discrimination in normal-hearing and hearing-impaired infants. Clinical Neurophysiology. 149. 121–132. 5 indexed citations
2.
Hickson, Louise, et al.. (2020). Is cortical automatic threshold estimation a feasible alternative for hearing threshold estimation with adults with dementia living in aged care?. International Journal of Audiology. 59(10). 745–752. 5 indexed citations
3.
4.
Dun, Bram Van, et al.. (2019). The frequency-following response as an assessment of spatial processing. International Journal of Audiology. 58(8). 497–503. 3 indexed citations
5.
Dun, Bram Van, et al.. (2018). Clinically recorded cortical auditory evoked potentials from paediatric cochlear implant users fitted with electrically elicited stapedius reflex thresholds. International Journal of Pediatric Otorhinolaryngology. 108. 100–112. 16 indexed citations
6.
Cowan, Robert, Bram Van Dun, Vicky Zhang, et al.. (2017). Evaluating auditory discrimination in infants using visual reinforcement infant speech discrimination (VRISD) and the acoustic change complex (ACC). Journal of Hearing Science. 2 indexed citations
7.
Valderrama, Joaquin T., Ángel de la Torre, & Bram Van Dun. (2017). An automatic algorithm for blink-artifact suppression based on iterative template matching: application to single channel recording of cortical auditory evoked potentials. Journal of Neural Engineering. 15(1). 16008–16008. 39 indexed citations
8.
Dun, Bram Van, et al.. (2015). Bigger Is Better. Ear and Hearing. 36(6). 677–687. 14 indexed citations
9.
Dun, Bram Van, Harvey Dillon, & Mark Seeto. (2015). Estimating Hearing Thresholds in Hearing-Impaired Adults through Objective Detection of Cortical Auditory Evoked Potentials. Journal of the American Academy of Audiology. 26(4). 370–383. 38 indexed citations
10.
Dun, Bram Van, et al.. (2014). Least-squares (LS) deconvolution of a series of overlapping cortical auditory evoked potentials: a simulation and experimental study. Journal of Neural Engineering. 11(4). 46016–46016. 11 indexed citations
11.
Carter, Lyndal, Harvey Dillon, John P. Seymour, Mark Seeto, & Bram Van Dun. (2013). Cortical Auditory-Evoked Potentials (CAEPs) in Adults in Response to Filtered Speech Stimuli. Journal of the American Academy of Audiology. 24(9). 807–822. 24 indexed citations
12.
Dillon, Harvey, et al.. (2013). Least-squares deconvolution of evoked potentials and sequence optimization for multiple stimuli under low-jitter conditions. Clinical Neurophysiology. 125(4). 727–737. 20 indexed citations
13.
Dun, Bram Van, Lyndal Carter, & Harvey Dillon. (2012). Sensitivity of Cortical Auditory Evoked Potential Detection for Hearing-Impaired Infants in Response to Short Speech Sounds. Audiology Research. 2(1). e13–e13. 57 indexed citations
14.
Dillon, Harvey, et al.. (2012). The relationship between cortical auditory evoked potential (CAEP) detection and estimated audibility in infants with sensorineural hearing loss. International Journal of Audiology. 51(9). 663–670. 58 indexed citations
15.
Luts, Heleen, et al.. (2008). The Influence of the Detection Paradigm in Recording Auditory Steady-State Responses. Ear and Hearing. 29(4). 638–650. 24 indexed citations
16.
Dun, Bram Van, et al.. (2008). A flexible research platform for multi-channel auditory steady-state response measurements. Journal of Neuroscience Methods. 169(1). 239–248. 13 indexed citations
17.
Dun, Bram Van, Jan Wouters, & Marc Moonen. (2007). Improving Auditory Steady-State Response Detection Using Independent Component Analysis on Multichannel EEG Data. IEEE Transactions on Biomedical Engineering. 54(7). 1220–1230. 36 indexed citations
18.
Dun, Bram Van, Jan Wouters, & Marc Moonen. (2007). Multi-Channel Wiener Filtering Based Auditory Steady-State Response Detection. Lirias (KU Leuven). II–929. 14 indexed citations
19.
Luts, Heleen, et al.. (2007). Objective detection of ASSR: do's and don'ts. 2 indexed citations
20.
Luts, Heleen, et al.. (2007). Building a bridge between detection of hearing loss and rehabilitation with the auditory steady-state response. 1 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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