Christopher J. Smalt

882 total citations
43 papers, 622 citations indexed

About

Christopher J. Smalt is a scholar working on Cognitive Neuroscience, Speech and Hearing and Sensory Systems. According to data from OpenAlex, Christopher J. Smalt has authored 43 papers receiving a total of 622 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Cognitive Neuroscience, 17 papers in Speech and Hearing and 14 papers in Sensory Systems. Recurrent topics in Christopher J. Smalt's work include Hearing Loss and Rehabilitation (27 papers), Noise Effects and Management (17 papers) and Hearing, Cochlea, Tinnitus, Genetics (14 papers). Christopher J. Smalt is often cited by papers focused on Hearing Loss and Rehabilitation (27 papers), Noise Effects and Management (17 papers) and Hearing, Cochlea, Tinnitus, Genetics (14 papers). Christopher J. Smalt collaborates with scholars based in United States, Canada and Netherlands. Christopher J. Smalt's co-authors include Thomas F. Quatieri, Paul Calamia, Jackson T. Gandour, Ananthanarayan Krishnan, Gavin M. Bidelman, Gregory Ciccarelli, Tyler Hickman, M. Charles Liberman, Shakti K. Davis and Michael A. Nolan and has published in prestigious journals such as NeuroImage, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Christopher J. Smalt

40 papers receiving 610 citations

Peers

Christopher J. Smalt
Robert S. Schlauch United States
Rebecca E. Millman United Kingdom
Brian B. Monson United States
Frederick N. Martin United States
Bram Van Dun Australia
Odile Clavier United States
Robert S. Schlauch United States
Christopher J. Smalt
Citations per year, relative to Christopher J. Smalt Christopher J. Smalt (= 1×) peers Robert S. Schlauch

Countries citing papers authored by Christopher J. Smalt

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Smalt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Smalt. 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 Christopher J. Smalt. The network helps show where Christopher J. Smalt may publish in the future.

Co-authorship network of co-authors of Christopher J. Smalt

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Smalt. A scholar is included among the top collaborators of Christopher J. Smalt 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 Christopher J. Smalt. Christopher J. Smalt 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.
Smalt, Christopher J., et al.. (2025). Estimated dose–response relationship between impulse noise exposure and temporary threshold shift in tactical training environments. The Journal of the Acoustical Society of America. 157(3). 1926–1937.
2.
Rao, Hrishikesh M., et al.. (2023). Changes in Eye Tracking Features Across Periods of Overpressure Exposure. Military Medicine. 188(11-12). e3398–e3406. 2 indexed citations
3.
Rao, Hrishikesh M., et al.. (2022). EEG alpha and pupil diameter reflect endogenous auditory attention switching and listening effort. European Journal of Neuroscience. 55(5). 1262–1277. 17 indexed citations
4.
Smalt, Christopher J., et al.. (2022). Automatic identification of tinnitus malingering based on overt and covert behavioral responses during psychoacoustic testing. npj Digital Medicine. 5(1). 127–127. 1 indexed citations
5.
Borgström, Bengt, M.S. Brandstein, Gregory Ciccarelli, Thomas F. Quatieri, & Christopher J. Smalt. (2021). Speaker separation in realistic noise environments with applications to a cognitively-controlled hearing aid. Neural Networks. 140. 136–147. 15 indexed citations
6.
Smalt, Christopher J., et al.. (2020). Deep Neural Network Model of Hearing-Impaired Speech-in-Noise Perception. Frontiers in Neuroscience. 14. 588448–588448. 16 indexed citations
7.
Rao, Hrishikesh M., Christopher J. Smalt, Daryush D. Mehta, et al.. (2020). Predicting Cognitive Load and Operational Performance in a Simulated Marksmanship Task. Frontiers in Human Neuroscience. 14. 222–222. 11 indexed citations
8.
Ciccarelli, Gregory, Michael A. Nolan, Paul Calamia, et al.. (2019). Comparison of Two-Talker Attention Decoding from EEG with Nonlinear Neural Networks and Linear Methods. Scientific Reports. 9(1). 11538–11538. 92 indexed citations
9.
Hickman, Tyler, et al.. (2018). Blast-induced cochlear synaptopathy in chinchillas. Scientific Reports. 8(1). 10740–10740. 82 indexed citations
10.
Calamia, Paul, et al.. (2017). Predicting sound-localization performance with hearing-protection devices using computational auditory models. The Journal of the Acoustical Society of America. 141(5_Supplement). 3973–3973. 1 indexed citations
11.
Smalt, Christopher J., et al.. (2016). Noise dosimetry for tactical environments. Hearing Research. 349. 42–54. 30 indexed citations
12.
Smalt, Christopher J., Javier González-Castillo, Thomas M. Talavage, David B. Pisoni, & Mario A. Svirsky. (2013). Neural correlates of adaptation in freely-moving normal hearing subjects under cochlear implant acoustic simulations. NeuroImage. 82. 500–509. 14 indexed citations
13.
Smalt, Christopher J., Michael G. Heinz, & Elizabeth Strickland. (2013). Modeling the Time-Varying and Level-Dependent Effects of the Medial Olivocochlear Reflex in Auditory Nerve Responses. Journal of the Association for Research in Otolaryngology. 15(2). 159–173. 17 indexed citations
14.
Smalt, Christopher J., et al.. (2012). Distortion products and their influence on representation of pitch-relevant information in the human brainstem for unresolved harmonic complex tones. Hearing Research. 292(1-2). 26–34. 26 indexed citations
15.
Krishnan, Ananthanarayan, et al.. (2012). Relationship between brainstem, cortical and behavioral measures relevant to pitch salience in humans. Neuropsychologia. 50(12). 2849–2859. 62 indexed citations
16.
Krishnan, Ananthanarayan, et al.. (2011). Functional ear (a)symmetry in brainstem neural activity relevant to encoding of voice pitch: A precursor for hemispheric specialization?. Brain and Language. 119(3). 226–231. 14 indexed citations
17.
Krishnan, Ananthanarayan, et al.. (2011). Linguistic status of timbre influences pitch encoding in the brainstem. Neuroreport. 22(16). 801–803. 7 indexed citations
18.
Smalt, Christopher J., Thomas M. Talavage, David B. Pisoni, & Mario A. Svirsky. (2011). Neural adaptation and perceptual learning using a portable real-time cochlear implant simulator in natural environments. PubMed. 2011. 1145–1148. 5 indexed citations
19.
Pisoni, David B., et al.. (2011). A portable, real-time vocoder: Technology and preliminary perceptual learning findings.. The Journal of the Acoustical Society of America. 129(4_Supplement). 2527–2527. 3 indexed citations
20.
Krishnan, Ananthanarayan, Jackson T. Gandour, Christopher J. Smalt, & Gavin M. Bidelman. (2010). Language-dependent pitch encoding advantage in the brainstem is not limited to acceleration rates that occur in natural speech. Brain and Language. 114(3). 193–198. 29 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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