Stephen C. Van Hedger

937 total citations
40 papers, 500 citations indexed

About

Stephen C. Van Hedger is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Signal Processing. According to data from OpenAlex, Stephen C. Van Hedger has authored 40 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 19 papers in Experimental and Cognitive Psychology and 9 papers in Signal Processing. Recurrent topics in Stephen C. Van Hedger's work include Neuroscience and Music Perception (23 papers), Hearing Loss and Rehabilitation (15 papers) and Multisensory perception and integration (14 papers). Stephen C. Van Hedger is often cited by papers focused on Neuroscience and Music Perception (23 papers), Hearing Loss and Rehabilitation (15 papers) and Multisensory perception and integration (14 papers). Stephen C. Van Hedger collaborates with scholars based in United States, Canada and Sweden. Stephen C. Van Hedger's co-authors include Howard C. Nusbaum, Shannon L. M. Heald, Marc G. Berman, Martin Buschkuehl, Susanne M. Jaeggi, Kathryne Van Hedger, Kathryn E. Schertz, Alex Y. Huang, Greg J. Norman and Cecilia U. D. Stenfors and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Stephen C. Van Hedger

35 papers receiving 495 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen C. Van Hedger United States 12 232 192 124 100 92 40 500
Nicolas Escoffier Singapore 17 647 2.8× 115 0.6× 287 2.3× 105 1.1× 201 2.2× 22 897
Jochen Steffens Germany 10 214 0.9× 67 0.3× 74 0.6× 119 1.2× 68 0.7× 40 342
Robert Ljung Sweden 14 442 1.9× 30 0.2× 121 1.0× 318 3.2× 104 1.1× 37 632
Niklas Halin Sweden 10 377 1.6× 113 0.6× 119 1.0× 305 3.0× 250 2.7× 14 692
PerMagnus Lindborg Hong Kong 8 107 0.5× 62 0.3× 84 0.7× 118 1.2× 59 0.6× 32 266
Neil Bruce United Kingdom 12 335 1.4× 246 1.3× 54 0.4× 496 5.0× 30 0.3× 23 567
Erkin Asutay Sweden 11 256 1.1× 12 0.1× 184 1.5× 50 0.5× 119 1.3× 31 435
Isabel López Barrio Spain 6 184 0.8× 206 1.1× 37 0.3× 372 3.7× 31 0.3× 14 478
Lars Brorson Fich Denmark 8 368 1.6× 180 0.9× 250 2.0× 73 0.7× 373 4.1× 19 715
Joerg Fingerhut Germany 11 216 0.9× 64 0.3× 136 1.1× 19 0.2× 137 1.5× 30 416

Countries citing papers authored by Stephen C. Van Hedger

Since Specialization
Citations

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

Fields of papers citing papers by Stephen C. Van Hedger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Van Hedger. 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 Stephen C. Van Hedger. The network helps show where Stephen C. Van Hedger may publish in the future.

Co-authorship network of co-authors of Stephen C. Van Hedger

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen C. Van Hedger. A scholar is included among the top collaborators of Stephen C. Van Hedger 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 Stephen C. Van Hedger. Stephen C. Van Hedger 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.
2.
Longman, Daniel P., Stephen C. Van Hedger, Kirsten McEwan, et al.. (2025). Forest soundscapes improve mood, restoration and cognition, but not physiological stress or immunity, relative to industrial soundscapes. Scientific Reports. 15(1). 33967–33967. 1 indexed citations
3.
Hedger, Kathryne Van, et al.. (2025). Listening through a landline: Using degraded sounds to examine the relationship between cognitive restoration and preference. Journal of Environmental Psychology. 104. 102608–102608.
4.
Hedger, Stephen C. Van, et al.. (2024). Is Hey Jude in the right key? Cognitive components of absolute pitch memory. Memory & Cognition. 52(5). 1142–1151.
5.
Schertz, Kathryn E., Hiroki Kotabe, Kimberly Lewis Meidenbauer, et al.. (2023). Nature's path to thinking about others and the surrounding environment. Journal of Environmental Psychology. 89. 102046–102046. 5 indexed citations
6.
Heald, Shannon L. M., et al.. (2023). Generalizing across tonal context, timbre, and octave in rapid absolute pitch training. Attention Perception & Psychophysics. 85(2). 525–542. 2 indexed citations
7.
Hedger, Stephen C. Van, et al.. (2023). Of words and whistles: Statistical learning operates similarly for identical sounds perceived as speech and non-speech. Cognition. 242. 105649–105649. 2 indexed citations
8.
Dumas, Tara M., et al.. (2022). Lockdown, bottoms up? Changes in adolescent substance use across the COVID-19 pandemic. Addictive Behaviors. 131. 107326–107326. 14 indexed citations
9.
Heald, Shannon L. M., et al.. (2021). Going Beyond Rote Auditory Learning: Neural Patterns of Generalized Auditory Learning. Journal of Cognitive Neuroscience. 34(3). 425–444. 1 indexed citations
10.
Hedger, Stephen C. Van, Ingrid S. Johnsrude, & Laura Batterink. (2021). Musical instrument familiarity affects statistical learning of tone sequences. Cognition. 218. 104949–104949. 4 indexed citations
11.
Heald, Shannon L. M., et al.. (2021). Individual differences in human frequency-following response predict pitch labeling ability. Scientific Reports. 11(1). 14290–14290. 4 indexed citations
12.
Hedger, Stephen C. Van, et al.. (2020). Revisiting discrete versus continuous models of human behavior: The case of absolute pitch. PLoS ONE. 15(12). e0244308–e0244308. 7 indexed citations
13.
Heald, Shannon L. M., et al.. (2019). Cortical mechanisms of talker normalization in fluent sentences. Brain and Language. 201. 104722–104722. 6 indexed citations
14.
Nusbaum, Howard C., et al.. (2018). Consolidating skill learning through sleep. Current Opinion in Behavioral Sciences. 20. 174–182. 6 indexed citations
15.
Hedger, Stephen C. Van, et al.. (2018). A note by any other name: Intonation context rapidly changes absolute note judgments.. Journal of Experimental Psychology Human Perception & Performance. 44(8). 1268–1282. 8 indexed citations
16.
Heald, Shannon L. M., Stephen C. Van Hedger, & Howard C. Nusbaum. (2017). Perceptual Plasticity for Auditory Object Recognition. Frontiers in Psychology. 8. 781–781. 10 indexed citations
17.
Heald, Shannon L. M., et al.. (2017). Understanding environmental sounds in sentence context. Cognition. 172. 134–143. 7 indexed citations
18.
Hedger, Stephen C. Van, Shannon L. M. Heald, & Howard C. Nusbaum. (2016). What the [bleep]? Enhanced absolute pitch memory for a 1000 Hz sine tone. Cognition. 154. 139–150. 10 indexed citations
19.
Hedger, Stephen C. Van, et al.. (2015). Auditory working memory predicts individual differences in absolute pitch learning. Cognition. 140. 95–110. 28 indexed citations
20.
Hedger, Stephen C. Van, et al.. (2013). Music can elicit a visual motion aftereffect. Attention Perception & Psychophysics. 75(5). 1039–1047. 8 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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