Mayu Nishimura

28 papers and 679 indexed citations i.

About

Mayu Nishimura is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mayu Nishimura has authored 28 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cognitive Neuroscience, 9 papers in Experimental and Cognitive Psychology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mayu Nishimura’s work include Face Recognition and Perception (19 papers), Visual perception and processing mechanisms (14 papers) and Evolutionary Psychology and Human Behavior (7 papers). Mayu Nishimura is often cited by papers focused on Face Recognition and Perception (19 papers), Visual perception and processing mechanisms (14 papers) and Evolutionary Psychology and Human Behavior (7 papers). Mayu Nishimura collaborates with scholars based in United States, Canada and Australia. Mayu Nishimura's co-authors include Daphne Maurer, Marlene Behrmann, Kang Lee, Xiaoqing Gao, Lawrence A. Symons, Christina S. Konen, Sabine Kästner, K. Suzanne Scherf, Gillian Rhodes and Linda Jeffery and has published in prestigious journals such as Neuron, NeuroImage and Neuropsychologia.

In The Last Decade

Co-authorship network of co-authors of Mayu Nishimura i

Fields of papers citing papers by Mayu Nishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mayu Nishimura

Since Specialization
Citations

This map shows the geographic impact of Mayu Nishimura'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 Mayu Nishimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayu Nishimura 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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2025