Brian H. Scott

928 total citations
19 papers, 696 citations indexed

About

Brian H. Scott is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Sensory Systems. According to data from OpenAlex, Brian H. Scott has authored 19 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 3 papers in Experimental and Cognitive Psychology and 2 papers in Sensory Systems. Recurrent topics in Brian H. Scott's work include Neural dynamics and brain function (15 papers), Neuroscience and Music Perception (14 papers) and Hearing Loss and Rehabilitation (13 papers). Brian H. Scott is often cited by papers focused on Neural dynamics and brain function (15 papers), Neuroscience and Music Perception (14 papers) and Hearing Loss and Rehabilitation (13 papers). Brian H. Scott collaborates with scholars based in United States, United Kingdom and Denmark. Brian H. Scott's co-authors include Malcolm N. Semple, Brian J. Malone, Mortimer Mishkin, Pingbo Yin, Dajun Xing, Karl R. Gegenfurtner, Michael J. Hawken, David McAlpine, Nicol S. Harper and Yukiko Kikuchi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Brian H. Scott

19 papers receiving 690 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian H. Scott United States 15 612 131 98 58 44 19 696
Bethany Plakke United States 11 315 0.5× 85 0.6× 58 0.6× 32 0.6× 67 1.5× 20 407
Elena Selezneva Germany 10 532 0.9× 276 2.1× 89 0.9× 41 0.7× 72 1.6× 19 597
William C. Loftus United States 13 618 1.0× 88 0.7× 271 2.8× 54 0.9× 128 2.9× 15 779
Ryan S. Carraway United States 9 524 0.9× 56 0.4× 71 0.7× 42 0.7× 124 2.8× 9 602
Pritesh K. Pandya United States 12 508 0.8× 48 0.4× 139 1.4× 19 0.3× 180 4.1× 14 604
Amanda Reed United States 6 357 0.6× 46 0.4× 48 0.5× 28 0.5× 102 2.3× 7 398
Ariane E. Rhone United States 17 544 0.9× 137 1.0× 24 0.2× 14 0.2× 75 1.7× 37 664
Lucy A. Anderson United Kingdom 15 699 1.1× 104 0.8× 345 3.5× 54 0.9× 141 3.2× 21 868
Tammy McGinnis United States 11 525 0.9× 231 1.8× 80 0.8× 11 0.2× 87 2.0× 13 578
Michael Ortiz-Rios Germany 8 234 0.4× 70 0.5× 28 0.3× 22 0.4× 71 1.6× 14 429

Countries citing papers authored by Brian H. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Brian H. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian H. Scott. 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 Brian H. Scott. The network helps show where Brian H. Scott may publish in the future.

Co-authorship network of co-authors of Brian H. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Brian H. Scott. A scholar is included among the top collaborators of Brian H. Scott 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 Brian H. Scott. Brian H. Scott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Scott, Brian H., Kadharbatcha S. Saleem, Yukiko Kikuchi, et al.. (2017). Thalamic connections of the core auditory cortex and rostral supratemporal plane in the macaque monkey. The Journal of Comparative Neurology. 525(16). 3488–3513. 14 indexed citations
2.
Scott, Brian H. & Mortimer Mishkin. (2015). Auditory short-term memory in the primate auditory cortex. Brain Research. 1640(Pt B). 264–277. 26 indexed citations
3.
Karabanov, Anke Ninija, Rainer W. Paine, Chi‐Chao Chao, et al.. (2015). Participation of the Classical Speech Areas in Auditory Long-Term Memory. PLoS ONE. 10(3). e0119472–e0119472. 6 indexed citations
4.
Scott, Brian H., Kadharbatcha S. Saleem, Yukiko Kikuchi, et al.. (2015). Intrinsic Connections of the Core Auditory Cortical Regions and Rostral Supratemporal Plane in the Macaque Monkey. Cerebral Cortex. 27(1). bhv277–bhv277. 20 indexed citations
5.
Malone, Brian J., Brian H. Scott, & Malcolm N. Semple. (2015). Diverse cortical codes for scene segmentation in primate auditory cortex. Journal of Neurophysiology. 113(7). 2934–2952. 14 indexed citations
6.
Harper, Nicol S., Brian H. Scott, Malcolm N. Semple, & David McAlpine. (2014). The Neural Code for Auditory Space Depends on Sound Frequency and Head Size in an Optimal Manner. PLoS ONE. 9(11). e108154–e108154. 23 indexed citations
7.
Scott, Brian H., Mortimer Mishkin, & Pingbo Yin. (2014). Neural Correlates of Auditory Short-Term Memory in Rostral Superior Temporal Cortex. Current Biology. 24(23). 2767–2775. 32 indexed citations
8.
Malone, Brian J., Brian H. Scott, & Malcolm N. Semple. (2014). Encoding frequency contrast in primate auditory cortex. Journal of Neurophysiology. 111(11). 2244–2263. 9 indexed citations
9.
Scott, Brian H., Mortimer Mishkin, & Pingbo Yin. (2013). Effect of acoustic similarity on short-term auditory memory in the monkey. Hearing Research. 298. 36–48. 13 indexed citations
10.
Scott, Brian H., Mortimer Mishkin, & Pingbo Yin. (2012). Monkeys have a limited form of short-term memory in audition. Proceedings of the National Academy of Sciences. 109(30). 12237–12241. 71 indexed citations
11.
Malone, Brian J., Brian H. Scott, & Malcolm N. Semple. (2010). Temporal Codes for Amplitude Contrast in Auditory Cortex. Journal of Neuroscience. 30(2). 767–784. 44 indexed citations
12.
Scott, Brian H., Brian J. Malone, & Malcolm N. Semple. (2010). Transformation of Temporal Processing Across Auditory Cortex of Awake Macaques. Journal of Neurophysiology. 105(2). 712–730. 58 indexed citations
13.
Scott, Brian H., Brian J. Malone, & Malcolm N. Semple. (2009). Representation of Dynamic Interaural Phase Difference in Auditory Cortex of Awake Rhesus Macaques. Journal of Neurophysiology. 101(4). 1781–1799. 23 indexed citations
14.
Malone, Brian J., Brian H. Scott, & Malcolm N. Semple. (2007). Dynamic Amplitude Coding in the Auditory Cortex of Awake Rhesus Macaques. Journal of Neurophysiology. 98(3). 1451–1474. 75 indexed citations
15.
Scott, Brian H., Brian J. Malone, & Malcolm N. Semple. (2007). Effect of Behavioral Context on Representation of a Spatial Cue in Core Auditory Cortex of Awake Macaques. Journal of Neuroscience. 27(24). 6489–6499. 48 indexed citations
16.
Gegenfurtner, Karl R., Dajun Xing, Brian H. Scott, & Michael J. Hawken. (2003). A comparison of pursuit eye movement and perceptual performance in speed discrimination. Journal of Vision. 3(11). 19–19. 74 indexed citations
17.
Semple, Malcolm N. & Brian H. Scott. (2003). Cortical mechanisms in hearing. Current Opinion in Neurobiology. 13(2). 167–173. 25 indexed citations
18.
Malone, Brian J., Brian H. Scott, & Malcolm N. Semple. (2002). Context-Dependent Adaptive Coding of Interaural Phase Disparity in the Auditory Cortex of Awake Macaques. Journal of Neuroscience. 22(11). 4625–4638. 100 indexed citations
19.
Pinsky, Leonard, et al.. (1975). Familial amyotrophic lateral sclerosis with dementia: A second Canadian family. Clinical Genetics. 7(3). 186–191. 21 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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