So Kanazawa

2.5k total citations
119 papers, 1.7k citations indexed

About

So Kanazawa is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, So Kanazawa has authored 119 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Cognitive Neuroscience, 36 papers in Experimental and Cognitive Psychology and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in So Kanazawa's work include Visual perception and processing mechanisms (54 papers), Face Recognition and Perception (52 papers) and Multisensory perception and integration (21 papers). So Kanazawa is often cited by papers focused on Visual perception and processing mechanisms (54 papers), Face Recognition and Perception (52 papers) and Multisensory perception and integration (21 papers). So Kanazawa collaborates with scholars based in Japan, Australia and United States. So Kanazawa's co-authors include Masami K. Yamaguchi, Yumiko Otsuka, Ryusuke Kakigi, Emi Nakato, Nobu Shirai, Hiroko Ichikawa, Shoko Watanabe, Megumi Kobayashi, Akira Sato and Kazuo Fujita and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

So Kanazawa

115 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
So Kanazawa Japan 22 1.3k 487 327 259 231 119 1.7k
Daniel D. Dilks United States 27 2.0k 1.6× 396 0.8× 209 0.6× 185 0.7× 439 1.9× 64 2.5k
Kathleen M. O’Craven United States 9 2.4k 1.9× 476 1.0× 266 0.8× 271 1.0× 225 1.0× 13 2.6k
Sebastian Jentschke Germany 23 1.4k 1.1× 441 0.9× 353 1.1× 129 0.5× 50 0.2× 37 1.8k
Jonathan Flombaum United States 16 2.2k 1.7× 652 1.3× 527 1.6× 110 0.4× 74 0.3× 46 3.1k
John Wattam-Bell United Kingdom 28 2.4k 1.9× 211 0.4× 218 0.7× 231 0.9× 111 0.5× 85 3.2k
Roberto Dell’Acqua Italy 33 2.9k 2.3× 729 1.5× 339 1.0× 143 0.6× 74 0.3× 96 3.4k
H.-J. Heinze Germany 22 1.8k 1.4× 388 0.8× 270 0.8× 93 0.4× 60 0.3× 38 2.5k
Claire Wardak France 23 1.8k 1.4× 317 0.7× 349 1.1× 146 0.6× 40 0.2× 46 2.1k
K. Suzanne Scherf United States 26 1.9k 1.5× 516 1.1× 253 0.8× 156 0.6× 236 1.0× 55 2.4k
Harriet A. Allen United Kingdom 23 1.3k 1.0× 272 0.6× 191 0.6× 72 0.3× 85 0.4× 82 1.6k

Countries citing papers authored by So Kanazawa

Since Specialization
Citations

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

Fields of papers citing papers by So Kanazawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of So Kanazawa

This figure shows the co-authorship network connecting the top 25 collaborators of So Kanazawa. A scholar is included among the top collaborators of So Kanazawa 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 So Kanazawa. So Kanazawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kanazawa, So, et al.. (2023). Infants' visual perception without feature-binding. Proceedings of the Royal Society B Biological Sciences. 290(2012). 20232134–20232134. 2 indexed citations
2.
Kobayashi, Megumi, So Kanazawa, & Masami K. Yamaguchi. (2023). The role of scenic context on upright face preference in infancy. PLoS ONE. 18(7). e0288253–e0288253. 2 indexed citations
3.
Nakashima, Yusuke, So Kanazawa, & Masami K. Yamaguchi. (2023). Recognition of humans from biological motion in infants. Attention Perception & Psychophysics. 85(8). 2567–2576. 2 indexed citations
4.
Kanazawa, So, et al.. (2022). Development of upper visual field bias for faces in infants. Developmental Science. 26(1). e13262–e13262. 4 indexed citations
5.
Nakashima, Yusuke, So Kanazawa, & Masami K. Yamaguchi. (2021). Perception of invisible masked objects in early infancy. Proceedings of the National Academy of Sciences. 118(27). 15 indexed citations
6.
Kobayashi, Megumi, So Kanazawa, Masami K. Yamaguchi, & Alice J. O’Toole. (2021). Cortical processing of dynamic bodies in the superior occipito-temporal regions of the infants’ brain: Difference from dynamic faces and inversion effect. NeuroImage. 244. 118598–118598. 3 indexed citations
7.
Kanazawa, So, et al.. (2020). Development of the multisensory perception of water in infancy. Journal of Vision. 20(8). 5–5. 1 indexed citations
8.
Kanazawa, So, et al.. (2019). Rapid identification of the face in infants. Journal of Experimental Child Psychology. 186. 45–58. 5 indexed citations
9.
Asano, Michiko, et al.. (2019). Sound symbolism processing is lateralized to the right temporal region in the prelinguistic infant brain. Scientific Reports. 9(1). 13435–13435. 10 indexed citations
11.
Kanazawa, So, et al.. (2018). Infants prefer a trustworthy person: An early sign of social cognition in infants. PLoS ONE. 13(9). e0203541–e0203541. 20 indexed citations
12.
Valenza, Eloisa, Yumiko Otsuka, Hermann Bulf, et al.. (2015). Face Orientation and Motion Differently Affect the Deployment of Visual Attention in Newborns and 4-Month-Old Infants. PLoS ONE. 10(9). e0136965–e0136965. 12 indexed citations
13.
Ichikawa, Hiroko, Jun Kitazono, Kenji Nagata, et al.. (2014). Novel method to classify hemodynamic response obtained using multi-channel fNIRS measurements into two groups: exploring the combinations of channels. Frontiers in Human Neuroscience. 8. 480–480. 35 indexed citations
14.
Kanazawa, So, et al.. (2013). Can Infants Tell the Difference between Gold and Yellow?. PLoS ONE. 8(6). e67535–e67535. 7 indexed citations
15.
Masuda, Tomohiro, Atsushi Kimura, Nobu Shirai, et al.. (2013). Perception of Elasticity in the Kinetic Illusory Object with Phase Differences in Inducer Motion. PLoS ONE. 8(10). e78621–e78621. 14 indexed citations
16.
Wada, Yuji, et al.. (2012). Infant visual preference for fruit enhanced by congruent in-season odor. Appetite. 58(3). 1070–1075. 19 indexed citations
17.
Otsuka, Yumiko, Harold Hill, So Kanazawa, Masami K. Yamaguchi, & Branka Špehar. (2011). Perception of Mooney faces by young infants: The role of local feature visibility, contrast polarity, and motion. Journal of Experimental Child Psychology. 111(2). 164–179. 24 indexed citations
18.
Nakato, Emi, et al.. (2009). Perception of illusory shift of gaze direction by infants. Infant Behavior and Development. 32(4). 422–428. 9 indexed citations
19.
Otsuka, Yumiko, Emi Nakato, So Kanazawa, et al.. (2006). Neural activation to upright and inverted faces in infants measured by near infrared spectroscopy. NeuroImage. 34(1). 399–406. 146 indexed citations
20.
Shirai, Nobu, So Kanazawa, & Masami K. Yamaguchi. (2004). Sensitivity to linear-speed-gradient of radial expansion flow in infancy. Vision Research. 44(27). 3111–3118. 16 indexed citations

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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