Ian M. Wiggins

857 total citations
23 papers, 555 citations indexed

About

Ian M. Wiggins is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Speech and Hearing. According to data from OpenAlex, Ian M. Wiggins has authored 23 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cognitive Neuroscience, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Speech and Hearing. Recurrent topics in Ian M. Wiggins's work include Hearing Loss and Rehabilitation (14 papers), Optical Imaging and Spectroscopy Techniques (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Ian M. Wiggins is often cited by papers focused on Hearing Loss and Rehabilitation (14 papers), Optical Imaging and Spectroscopy Techniques (9 papers) and EEG and Brain-Computer Interfaces (8 papers). Ian M. Wiggins collaborates with scholars based in United Kingdom, Australia and Netherlands. Ian M. Wiggins's co-authors include Douglas E. H. Hartley, Carly A. Anderson, Pádraig T. Kitterick, Bernhard U. Seeber, Rachael Lawrence, Jodie Davies-Thompson, Jessica Hodgson, Rebecca Susan Dewey, Derek J. Hoare and Graham Naylor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and The Journal of the Acoustical Society of America.

In The Last Decade

Ian M. Wiggins

21 papers receiving 545 citations

Peers

Ian M. Wiggins
Carly A. Anderson United Kingdom
Stefan Brill Germany
Maureen J. Shader United States
Alexis T. Roy United States
Golbarg Mehraei United States
Carly A. Anderson United Kingdom
Ian M. Wiggins
Citations per year, relative to Ian M. Wiggins Ian M. Wiggins (= 1×) peers Carly A. Anderson

Countries citing papers authored by Ian M. Wiggins

Since Specialization
Citations

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

Fields of papers citing papers by Ian M. Wiggins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian M. Wiggins. 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 Ian M. Wiggins. The network helps show where Ian M. Wiggins may publish in the future.

Co-authorship network of co-authors of Ian M. Wiggins

This figure shows the co-authorship network connecting the top 25 collaborators of Ian M. Wiggins. A scholar is included among the top collaborators of Ian M. Wiggins 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 Ian M. Wiggins. Ian M. Wiggins 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
2.
Wiggins, Ian M., et al.. (2023). Investigating mother–child inter‐brain synchrony in a naturalistic paradigm: A functional near infrared spectroscopy (fNIRS) hyperscanning study. European Journal of Neuroscience. 59(6). 1386–1403. 4 indexed citations
3.
Naylor, Graham, et al.. (2023). Exploring listening-related fatigue in children with and without hearing loss using self-report and parent-proxy measures. Frontiers in Pediatrics. 11. 1127578–1127578. 7 indexed citations
4.
Hartley, Douglas E. H., et al.. (2023). Listening efficiency in adult cochlear-implant users compared with normally-hearing controls at ecologically relevant signal-to-noise ratios. Frontiers in Human Neuroscience. 17. 1214485–1214485. 2 indexed citations
5.
Lawrence, Rachael, et al.. (2021). Use of Functional Near-Infrared Spectroscopy to Predict and Measure Cochlear Implant Outcomes: A Scoping Review. Brain Sciences. 11(11). 1439–1439. 15 indexed citations
6.
Wiggins, Ian M., et al.. (2021). Investigating Cortical Responses to Noise-Vocoded Speech in Children with Normal Hearing Using Functional Near-Infrared Spectroscopy (fNIRS). Journal of the Association for Research in Otolaryngology. 22(6). 703–717. 7 indexed citations
7.
Lawrence, Rachael, Ian M. Wiggins, Jessica Hodgson, & Douglas E. H. Hartley. (2020). Evaluating cortical responses to speech in children: A functional near-infrared spectroscopy (fNIRS) study. Hearing Research. 401. 108155–108155. 27 indexed citations
8.
Wiggins, Ian M., et al.. (2020). The Benefit of Cross-Modal Reorganization on Speech Perception in Pediatric Cochlear Implant Recipients Revealed Using Functional Near-Infrared Spectroscopy. Frontiers in Human Neuroscience. 14. 308–308. 35 indexed citations
10.
Wiggins, Ian M., et al.. (2019). Evaluating time-reversed speech and signal-correlated noise as auditory baselines for isolating speech-specific processing using fNIRS. PLoS ONE. 14(7). e0219927–e0219927. 12 indexed citations
11.
Anderson, Carly A., Ian M. Wiggins, Pádraig T. Kitterick, & Douglas E. H. Hartley. (2019). Pre-operative Brain Imaging Using Functional Near-Infrared Spectroscopy Helps Predict Cochlear Implant Outcome in Deaf Adults. Journal of the Association for Research in Otolaryngology. 20(5). 511–528. 35 indexed citations
12.
Lawrence, Rachael, Ian M. Wiggins, Carly A. Anderson, Jodie Davies-Thompson, & Douglas E. H. Hartley. (2018). Cortical correlates of speech intelligibility measured using functional near-infrared spectroscopy (fNIRS). Hearing Research. 370. 53–64. 47 indexed citations
13.
Hartley, Douglas E. H., et al.. (2018). Listening in Naturalistic Scenes: What Can Functional Near-Infrared Spectroscopy and Intersubject Correlation Analysis Tell Us About the Underlying Brain Activity?. Trends in Hearing. 22. 2759815828–2759815828. 21 indexed citations
14.
Hartley, Douglas E. H., et al.. (2017). Brain activity underlying the recovery of meaning from degraded speech: A functional near-infrared spectroscopy (fNIRS) study. Hearing Research. 351. 55–67. 39 indexed citations
15.
Wiggins, Ian M., Carly A. Anderson, Pádraig T. Kitterick, & Douglas E. H. Hartley. (2016). Speech-evoked activation in adult temporal cortex measured using functional near-infrared spectroscopy (fNIRS): Are the measurements reliable?. Hearing Research. 339. 142–154. 67 indexed citations
16.
Wiggins, Ian M., et al.. (2016). Shining a light on the neural signature of effortful listening. The Journal of the Acoustical Society of America. 139(4_Supplement). 2074–2074. 3 indexed citations
17.
Wiggins, Ian M. & Douglas E. H. Hartley. (2015). A Synchrony-Dependent Influence of Sounds on Activity in Visual Cortex Measured Using Functional Near-Infrared Spectroscopy (fNIRS). PLoS ONE. 10(3). e0122862–e0122862. 21 indexed citations
18.
Wiggins, Ian M., et al.. (2015). The use of functional near-infrared spectroscopy for measuring cortical reorganisation in cochlear implant users: A possible predictor of variable speech outcomes?. Cochlear Implants International. 16(sup1). S30–S32. 21 indexed citations
19.
Wiggins, Ian M. & Bernhard U. Seeber. (2013). Linking dynamic-range compression across the ears can improve speech intelligibility in spatially separated noise. The Journal of the Acoustical Society of America. 133(2). 1004–1016. 27 indexed citations
20.
Wiggins, Ian M. & Bernhard U. Seeber. (2012). Effects of Dynamic-Range Compression on the Spatial Attributes of Sounds in Normal-Hearing Listeners. Ear and Hearing. 33(3). 399–410. 30 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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