Auriel Washburn

33 total papers · 423 total citations
18 papers, 281 citations indexed

About

Auriel Washburn is a scholar working on Cognitive Neuroscience, Social Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Auriel Washburn has authored 18 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cognitive Neuroscience, 11 papers in Social Psychology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Auriel Washburn's work include Action Observation and Synchronization (9 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Music Perception (6 papers). Auriel Washburn is often cited by papers focused on Action Observation and Synchronization (9 papers), Neural dynamics and brain function (8 papers) and Neuroscience and Music Perception (6 papers). Auriel Washburn collaborates with scholars based in United States, Australia and Mexico. Auriel Washburn's co-authors include Michael J. Richardson, Charles A. Coey, Anthony Chemero, Heidi Kloos, Peter Langland‐Hassan, Ashley Walton, Laurel D. Riek, Thomas J. An, Rachel W. Kallen and Takako Fujioka and has published in prestigious journals such as PLoS ONE, Journal of Experimental Psychology Human Perception & Performance and Frontiers in Psychology.

In The Last Decade

Auriel Washburn

18 papers receiving 270 citations

Author Peers

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

Author Last Decade Papers Cites
Auriel Washburn 194 171 36 30 28 18 281
Tommi Himberg 202 1.0× 142 0.8× 87 2.4× 32 1.1× 10 0.4× 14 304
Yul‐Wan Sung 181 0.9× 24 0.1× 30 0.8× 18 0.6× 31 1.1× 29 284
Patrick Nalepka 137 0.7× 126 0.7× 12 0.3× 27 0.9× 65 2.3× 31 318
Noor Sajid 228 1.2× 59 0.3× 33 0.9× 15 0.5× 50 1.8× 23 329
Mohammad Ali Ahmadi‐Pajouh 197 1.0× 55 0.3× 11 0.3× 16 0.5× 20 0.7× 20 331
Archi Banerjee 147 0.8× 34 0.2× 53 1.5× 15 0.5× 31 1.1× 25 259
Alexandre Pitti 223 1.1× 35 0.2× 15 0.4× 15 0.5× 58 2.1× 33 327
Florian Scharf 145 0.7× 30 0.2× 52 1.4× 17 0.6× 5 0.2× 25 257
Alicia Fernández-Sotos 125 0.6× 65 0.4× 107 3.0× 49 1.6× 18 0.6× 9 243
Lauren Fink 132 0.7× 68 0.4× 66 1.8× 14 0.5× 8 0.3× 19 199

Countries citing papers authored by Auriel Washburn

Since Specialization
Citations

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

Fields of papers citing papers by Auriel Washburn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Auriel Washburn. 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 Auriel Washburn. The network helps show where Auriel Washburn may publish in the future.

Co-authorship network of co-authors of Auriel Washburn

This figure shows the co-authorship network connecting the top 25 collaborators of Auriel Washburn. A scholar is included among the top collaborators of Auriel Washburn 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 Auriel Washburn. Auriel Washburn 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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