Marilyn G. Boltz

3.8k citations
50 papers · 2.7k indexed · 1 hit paper · h-index 29
Topics
Neuroscience and Music Perception (33 papers)Music and Audio Processing (19 papers)Hearing Loss and Rehabilitation (14 papers)
Partner nations
United States

In The Last Decade

Marilyn G. Boltz

49 papers receiving 2.4k citations

Hit Papers

Dynamic attending and responses to time.19892026200120131989250500750

Peers

Marilyn G. Boltz
Comparison fields: 5 of 98
  • Cognitive Neuroscience 2.3k
  • Experimental and Cognitive Psychology 958
  • Signal Processing 899
  • Music 459
  • Social Psychology 297
Replace Daniel Müllensiefen with:
Daniel Müllensiefen United Kingdom
Paul Fraisse France
David Huron United States
Eric Clarke United Kingdom
Ian Neath United States
Emily C. Nusbaum United States
Paul Howard‐Jones United Kingdom
Jonna K. Vuoskoski Norway
Robert W. Frick United States
John N. Towse United Kingdom
Marilyn G. Boltz relative to Daniel Müllensiefen United Kingdom Daniel Müllensiefen's profile →
Citations per field
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Daniel Müllensiefen · 1×
Citations per year

Countries citing papers authored by Marilyn G. Boltz

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn G. Boltz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marilyn G. Boltz. 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 Marilyn G. Boltz. The network helps show where Marilyn G. Boltz may publish in the future.

Co-authorship network of co-authors of Marilyn G. Boltz

This figure shows the co-authorship network connecting the top 25 collaborators of Marilyn G. Boltz. A scholar is included among the top collaborators of Marilyn G. Boltz 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 Marilyn G. Boltz. Marilyn G. Boltz 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
#WorkIndexed citations
1 3
2 8
3 4
4 39
5 69
6 43
7 54
8 40
9 66
10 68
11 41
12 82
13 44
14 27
15 47
16 51
17 107
18 62
19 73
20
An expectancy model of judged duration : an ecological perspective /
7

About Marilyn G. Boltz

Marilyn G. Boltz is a scholar working on Music, Cognitive Neuroscience and Signal Processing, having authored 50 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Music Perception (33 papers), Music and Audio Processing (19 papers) and Hearing Loss and Rehabilitation (14 papers). The work is most often cited by research in Music (459 citations), Cognitive Neuroscience (2.3k citations) and Signal Processing (899 citations). Marilyn G. Boltz has collaborated with scholars based in United States. Frequent co-authors include Mari Riess Jones, Gary R. Kidd, Scott W. Brown, Mari R. Jones, Matthew D. Schulkind, Mark A. Schmuckler, Robert E. Todd, Benjamin C. T. Field, Jessica L. Dunne and Yen Na Yum. Their work appears in journals such as Psychological Review, Journal of Experimental Psychology Human Perception & Performance and Cognitive Psychology.

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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