Steven J. Morrison

38 papers receiving 624 citations

Peers

Steven J. Morrison
Comparison fields: 5 of 62
  • Music 463
  • Cognitive Neuroscience 524
  • Signal Processing 106
  • Visual Arts and Performing Arts 41
  • Experimental and Cognitive Psychology 103
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Steven M. Demorest United States
William E. Fredrickson United States
John M. Geringer United States
Irène Deliège Belgium
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Harry E. Price United States
Edward P. Asmus United States
John Kratus United States
Thomas W. Goolsby United States
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Countries citing papers authored by Steven J. Morrison

Since Specialization
Citations

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

Fields of papers citing papers by Steven J. Morrison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Steven J. Morrison, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven J. Morrison Line = papers co-authored together Steven J. Morrison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200366
2 200859
3 200957
4 200951
5 200840
6 200139
7 199936
8 200935
9 199432
10 200431
11 199831
12 200028
13 199524
14 200022
15
Musician and teacher : an orientation to music education
200820
16 201420
17
The effect of experience, private instruction, and knowledge of directional mistunings on the tuning performance and perception of High School wind players
199717
18 201615
19 201415
20 199514

About Steven J. Morrison

Steven J. Morrison is a scholar working on Music, Cognitive Neuroscience, Computer Vision and Pattern Recognition, Education and Signal Processing, having authored 40 papers that have together received 728 indexed citations. Recurring topics across this work include Diverse Music Education Insights (31 papers), Neuroscience and Music Perception (27 papers), Music Technology and Sound Studies (11 papers), Music and Audio Processing (5 papers), Hearing Loss and Rehabilitation (3 papers), Multisensory perception and integration (2 papers), Education Methods and Practices (2 papers) and Music Therapy and Health (2 papers). The work is most often cited by research in Music (463 citations), Cognitive Neuroscience (524 citations), Signal Processing (106 citations), Visual Arts and Performing Arts (41 citations) and Experimental and Cognitive Psychology (103 citations). Steven J. Morrison has collaborated with scholars based in United States, Hong Kong and Philippines. Frequent co-authors include Steven M. Demorest, Harry E. Price, Cornelia Yarbrough, Elizabeth Aylward, Kenneth R. Maravilla, Steven C. Cramer, Patricia Shehan Campbell, Julie Lorah, Elizabeth A. Sanders and Clark T. Johnson. Their work appears in journals such as Journal of Research in Music Education, Bulletin of the Council for Research in Music Education, Music Perception An Interdisciplinary Journal, Frontiers in Psychology and Social Cognitive and Affective Neuroscience.

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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