Daniel J. Cameron

799 citations
20 papers · 424 · h-index 12

Impact in

Papers in

    • Neuroscience and Music Perception 14
    • Neural dynamics and brain function 4
    • EEG and Brain-Computer Interfaces 3
    • Hearing Loss and Rehabilitation 3
    • Music and Audio Processing 5

Daniel J. Cameron

20 papers receiving 412 citations

Peers

Daniel J. Cameron
Comparison fields: 5 of 70
  • Music 45
  • Critical Care and Intensive Care Medicine 72
  • Cognitive Neuroscience 260
  • Anesthesiology and Pain Medicine 38
  • Signal Processing 70
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Citations per field
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Citations per year

Countries citing papers authored by Daniel J. Cameron

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Cameron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel J. Cameron, 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 Daniel J. Cameron Line = papers co-authored together Daniel J. Cameron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 198773
2 198750
3
Using Convolutional Neural Networks to Recognize Rhythm Stimuli from Electroencephalography Recordings
201446
4 201440
5 202028
6 201628
7 201527
8 201925
9 202219
10 202019
11 202213
12 201411
13 202210
14 20169
15
NEUROSCIENTIFIC INVESTIGATIONS OF MUSICAL RHYTHM
20148
16 20127
17 20176
18 19873
19 20151
20
The Neural Mechanisms of Musical Rhythm Processing: Cross-Cultural Differences and the Stages of Beat Perception
20161

About Daniel J. Cameron

Daniel J. Cameron is a scholar working on Cognitive Neuroscience, Signal Processing, Experimental and Cognitive Psychology, Music and Social Psychology, having authored 20 papers that have together received 424 indexed citations. Recurring topics across this work include Neuroscience and Music Perception (14 papers), Music and Audio Processing (5 papers), Multisensory perception and integration (4 papers), Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (3 papers), Hearing Loss and Rehabilitation (3 papers), Diverse Music Education Insights (3 papers) and Animal Vocal Communication and Behavior (2 papers). The work is most often cited by research in Music (45 citations), Critical Care and Intensive Care Medicine (72 citations), Cognitive Neuroscience (260 citations), Anesthesiology and Pain Medicine (38 citations) and Signal Processing (70 citations). Daniel J. Cameron has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Jessica A. Grahn, Sebastian Stober, Michael Mulvihill, Steven Gambert, Laurel J. Trainor, Gammon M. Earhart, Kristen A. Pickett, Marcus T. Pearce, Geraínt A. Wiggins and Dobromir Dotov. Their work appears in journals such as Journal of the American Geriatrics Society, Current Biology, Frontiers in Psychology, Timing & Time Perception and Frontiers in Neurology.

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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