Shushi Namba

52 total papers · 536 total citations
25 papers, 344 citations indexed

About

Shushi Namba is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Social Psychology. According to data from OpenAlex, Shushi Namba has authored 25 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 17 papers in Experimental and Cognitive Psychology and 11 papers in Social Psychology. Recurrent topics in Shushi Namba's work include Face Recognition and Perception (15 papers), Emotion and Mood Recognition (11 papers) and Color perception and design (5 papers). Shushi Namba is often cited by papers focused on Face Recognition and Perception (15 papers), Emotion and Mood Recognition (11 papers) and Color perception and design (5 papers). Shushi Namba collaborates with scholars based in Japan, United Kingdom and Austria. Shushi Namba's co-authors include Makoto Miyatani, Takashi Nakao, Eva G. Krumhuber, Dennis Küster, Wataru Sato, Lina Skora, Manuel G. Calvo, Hiroshi Matsui, Toshimune Kambara and Sakiko Yoshikawa and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors.

In The Last Decade

Shushi Namba

24 papers receiving 331 citations

Author Peers

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

Author Last Decade Papers Cites
Shushi Namba 222 213 121 60 26 25 344
Lina Skora 155 0.7× 210 1.0× 83 0.7× 44 0.7× 10 0.4× 13 337
Michał Olszanowski 167 0.8× 205 1.0× 122 1.0× 43 0.7× 15 0.6× 17 350
Eri Nakagawa 74 0.3× 269 1.3× 188 1.6× 36 0.6× 21 0.8× 23 397
Francesca Bacci 140 0.6× 230 1.1× 112 0.9× 60 1.0× 15 0.6× 11 322
Tommi Himberg 87 0.4× 202 0.9× 142 1.2× 32 0.5× 19 0.7× 14 304
Marco Viola 139 0.6× 205 1.0× 76 0.6× 49 0.8× 20 0.8× 28 386
Stefanie Rukavina 160 0.7× 178 0.8× 116 1.0× 24 0.4× 12 0.5× 11 325
Sven‐Thomas Graupner 92 0.4× 205 1.0× 85 0.7× 42 0.7× 78 3.0× 16 325
A. Rodney Wellens 112 0.5× 153 0.7× 123 1.0× 44 0.7× 29 1.1× 27 397
Caitlin Mullin 85 0.4× 326 1.5× 47 0.4× 82 1.4× 19 0.7× 20 396

Countries citing papers authored by Shushi Namba

Since Specialization
Citations

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

Fields of papers citing papers by Shushi Namba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shushi Namba

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