Daniel J. Cameron

35 total papers · 793 total citations
20 papers, 419 citations indexed

About

Daniel J. Cameron is a scholar working on Cognitive Neuroscience, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Daniel J. Cameron has authored 20 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Daniel J. Cameron's work include Neuroscience and Music Perception (14 papers), Music and Audio Processing (5 papers) and Neural dynamics and brain function (4 papers). Daniel J. Cameron is often cited by papers focused on Neuroscience and Music Perception (14 papers), Music and Audio Processing (5 papers) and Neural dynamics and brain function (4 papers). Daniel J. Cameron collaborates with scholars based in Canada, United States and United Kingdom. Daniel J. Cameron's co-authors include Jessica A. Grahn, Sebastian Stober, Michael Mulvihill, Steven Gambert, Laurel J. Trainor, Gammon M. Earhart, Kristen A. Pickett, Marcus T. Pearce, Dobromir Dotov and Geraínt A. Wiggins and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and Journal of the American Geriatrics Society.

In The Last Decade

Daniel J. Cameron

20 papers receiving 407 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel J. Cameron 254 72 70 65 61 20 419
John A. Starkweather 92 0.4× 25 0.3× 53 0.8× 26 0.4× 108 1.8× 27 432
Carol A. Prickett 214 0.8× 32 0.4× 7 0.1× 36 0.6× 20 0.3× 15 433
Hara Tsekou 228 0.9× 55 0.8× 49 0.7× 54 0.8× 87 1.4× 18 469
P. W. Schönle 174 0.7× 5 0.1× 24 0.3× 50 0.8× 62 1.0× 22 432
Kimberly Sena Moore 285 1.1× 15 0.2× 21 0.3× 45 0.7× 42 0.7× 24 438
Katlyn Peck 106 0.4× 10 0.1× 12 0.2× 29 0.4× 95 1.6× 10 386
Carina Klein 244 1.0× 4 0.1× 10 0.1× 46 0.7× 97 1.6× 16 490
Cathy H. McKinney 208 0.8× 24 0.3× 5 0.1× 59 0.9× 56 0.9× 18 469
Marko Punkanen 294 1.2× 14 0.2× 8 0.1× 54 0.8× 97 1.6× 14 464
Miho Miyajima 211 0.8× 13 0.2× 22 0.3× 89 1.4× 40 0.7× 30 374

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-authorship network of co-authors of Daniel J. Cameron

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

All Works

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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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