Timing & Time Perception

219 papers and 1.8k indexed citations
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About

The 219 papers published in Timing & Time Perception in the last decades have received a total of 1.8k indexed citations. Papers published in Timing & Time Perception usually cover Cognitive Neuroscience (167 papers), Experimental and Cognitive Psychology (102 papers) and Social Psychology (45 papers) specifically the topics of Neuroscience and Music Perception (136 papers), Multisensory perception and integration (55 papers) and Hearing Loss and Rehabilitation (39 papers). The most active scholars publishing in Timing & Time Perception are Sylvie Droit‐Volet, Fuat Balcı, Björn Herrmann, Molly J. Henry, Marc Wittmann, Mathilde Lamotte, Warren H. Meck, Sandrine Gil, Sophie Fayolle and J. H. Wearden.

In The Last Decade

Timing & Time Perception

188 papers receiving 1.7k citations

Fields of papers published in Timing & Time Perception

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Timing & Time Perception. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Timing & Time Perception.

Countries where authors publish in Timing & Time Perception

Since Specialization
Citations

This map shows the geographic impact of research published in Timing & Time Perception. 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 papers published in Timing & Time Perception with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timing & Time Perception more than expected).

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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