Emi Nakato

37 total papers · 745 total citations
20 papers, 545 citations indexed

About

Emi Nakato is a scholar working on Cognitive Neuroscience, Sensory Systems and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Emi Nakato has authored 20 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 5 papers in Sensory Systems and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Emi Nakato's work include Face Recognition and Perception (16 papers), Olfactory and Sensory Function Studies (5 papers) and Visual Attention and Saliency Detection (3 papers). Emi Nakato is often cited by papers focused on Face Recognition and Perception (16 papers), Olfactory and Sensory Function Studies (5 papers) and Visual Attention and Saliency Detection (3 papers). Emi Nakato collaborates with scholars based in Japan and Australia. Emi Nakato's co-authors include Masami K. Yamaguchi, So Kanazawa, Ryusuke Kakigi, Yumiko Otsuka, Shoko Watanabe, Megumi Kobayashi, Yukiko Honda, Hiroko Ichikawa, Shozo Kojima and Keiichi Shimamura and has published in prestigious journals such as NeuroImage, Brain Research and Neuropsychologia.

In The Last Decade

Emi Nakato

20 papers receiving 542 citations

Author Peers

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

Author Last Decade Papers Cites
Emi Nakato 423 182 107 71 58 20 545
Tamaki Miyamoto 241 0.6× 80 0.4× 121 1.1× 110 1.5× 76 1.3× 27 573
Pascal Despretz 417 1.0× 78 0.4× 70 0.7× 57 0.8× 13 0.2× 21 548
Natalia Zaretskaya 461 1.1× 156 0.9× 56 0.5× 42 0.6× 11 0.2× 28 584
Nicco Reggente 324 0.8× 58 0.3× 131 1.2× 65 0.9× 9 0.2× 35 586
Swethasri Dravida 404 1.0× 147 0.8× 94 0.9× 112 1.6× 13 0.2× 15 531
Mario Staedtgen 367 0.9× 65 0.4× 115 1.1× 46 0.6× 26 0.4× 15 573
Brittany E. Burrows 454 1.1× 116 0.6× 64 0.6× 29 0.4× 25 0.4× 8 567
Jun Li 503 1.2× 56 0.3× 146 1.4× 53 0.7× 7 0.1× 20 617
Elizabeth Huber 331 0.8× 162 0.9× 76 0.7× 27 0.4× 55 0.9× 26 542
Goh Matsuda 330 0.8× 115 0.6× 83 0.8× 135 1.9× 8 0.1× 18 510

Countries citing papers authored by Emi Nakato

Since Specialization
Citations

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

Fields of papers citing papers by Emi Nakato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emi Nakato

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