Shigeru Akamatsu

9.5k total citations · 4 hit papers
137 papers, 6.6k citations indexed

About

Shigeru Akamatsu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Shigeru Akamatsu has authored 137 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Computer Vision and Pattern Recognition, 33 papers in Molecular Biology and 19 papers in Cognitive Neuroscience. Recurrent topics in Shigeru Akamatsu's work include Face and Expression Recognition (27 papers), Face recognition and analysis (20 papers) and Face Recognition and Perception (19 papers). Shigeru Akamatsu is often cited by papers focused on Face and Expression Recognition (27 papers), Face recognition and analysis (20 papers) and Face Recognition and Perception (19 papers). Shigeru Akamatsu collaborates with scholars based in Japan, United Kingdom and United States. Shigeru Akamatsu's co-authors include Michael J. Lyons, Miyuki Kamachi, Jiro Gyoba, Sakiko Yoshikawa, Jean-Christophe Terrillon, D. M. Burt, D. Rowland, David I. Perrett, Ian S. Penton‐Voak and S. Peter Henzi and has published in prestigious journals such as Nature, Blood and PLoS ONE.

In The Last Decade

Shigeru Akamatsu

129 papers receiving 6.2k citations

Hit Papers

Coding facial expressions with Gabor wavelets 1998 2026 2007 2016 2002 1998 1999 2002 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shigeru Akamatsu Japan 28 3.5k 2.9k 1.2k 611 519 137 6.6k
Alice J. O’Toole United States 44 3.6k 1.1× 2.3k 0.8× 4.5k 3.6× 624 1.0× 871 1.7× 159 7.6k
Thomas Vetter Switzerland 45 7.5k 2.2× 1.1k 0.4× 1.7k 1.4× 324 0.5× 1.2k 2.3× 152 11.2k
Aleix M. Martı́nez United States 37 8.2k 2.4× 1.8k 0.6× 1.6k 1.3× 1.7k 2.8× 2.0k 3.8× 102 11.7k
Tadas Baltrušaitis United Kingdom 21 2.6k 0.8× 1.7k 0.6× 842 0.7× 1.9k 3.1× 810 1.6× 51 6.4k
Sebastian Möller Germany 35 1.6k 0.5× 385 0.1× 760 0.6× 1.1k 1.8× 1.2k 2.2× 475 5.7k
Guodong Guo China 54 7.7k 2.2× 1.2k 0.4× 403 0.3× 1.6k 2.7× 2.4k 4.7× 235 10.1k
Thierry Pun Switzerland 38 4.9k 1.4× 4.6k 1.6× 4.7k 3.7× 1.2k 1.9× 1.2k 2.3× 214 11.3k
Michael Cohen United States 54 4.9k 1.4× 1.6k 0.6× 1.5k 1.2× 978 1.6× 969 1.9× 352 12.3k
Ira L. Cohen United States 46 1.4k 0.4× 1.0k 0.4× 2.6k 2.0× 1.3k 2.2× 467 0.9× 123 7.0k
Todd S. Horowitz United States 41 1.5k 0.4× 1.5k 0.5× 4.8k 3.9× 248 0.4× 50 0.1× 114 7.3k

Countries citing papers authored by Shigeru Akamatsu

Since Specialization
Citations

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

Fields of papers citing papers by Shigeru Akamatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeru Akamatsu

This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Akamatsu. A scholar is included among the top collaborators of Shigeru Akamatsu 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 Shigeru Akamatsu. Shigeru Akamatsu 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.
Tanabe, Kumiko, Motoyasu Takenaka, Shigeru Akamatsu, et al.. (2021). Edaravone attenuates sustained pial arteriolar vasoconstriction independently of endothelial function after unclamping of the abdominal aorta in rabbits. Korean journal of anesthesiology. 74(6). 531–540. 3 indexed citations
2.
Doi, Tomoaki, Haruhiko Tokuda, Rie Matsushima‐Nishiwaki, et al.. (2012). Effect of antithrombin III on glycoprotein Ib/IX/V activation in human platelets: Suppression of thromboxane A2 generation. Prostaglandins Leukotrienes and Essential Fatty Acids. 87(2-3). 57–62. 3 indexed citations
3.
Akamatsu, Shigeru, et al.. (2009). A FACE IMAGE GENERATION SYSTEM FOR TRANSFORMING THREE DIMENSIONS OF HIGHER-ORDER IMPRESSION(International Workshop on Advanced Image Technology 2009). 108(373). 219–224.
4.
5.
Takeshita, Naoki, et al.. (2007). Automatic Generation of Morphable 3D Face Model Using ICP Algorithm and Its Applications. IEICE Technical Report; IEICE Tech. Rep.. 106(537). 23–28. 1 indexed citations
6.
Gyoba, Jiro, et al.. (2007). AUTOMATIC FACE IMAGE GENERATION SYSTEM FOR HIGHER-ORDER IMPRESSION TRANSFORMATION. 106(449). 11–16.
7.
Tokuda, Haruhiko, Shinji Takai, Yoshiteru Hanai, et al.. (2007). Platelet-derived growth factor-BB amplifies PGF2-stimulated VEGF synthesis in osteoblasts: Function of phosphatidylinositol 3-kinase. Prostaglandins Leukotrienes and Essential Fatty Acids. 77(3-4). 187–193. 4 indexed citations
8.
Akamatsu, Shigeru, et al.. (2006). Effect of Automatic Impression Transformation of Faces in 3D Shape and Texture : A Perceptual Comparison on Gender Impressions with Processing on 2D Image. IEICE Technical Report; IEICE Tech. Rep.. 105(608). 139–144.
9.
Akamatsu, Shigeru, et al.. (2005). Morphable Model of Composite 3-D Faces that Transforms Gender Impression. 104(544). 73–78.
10.
Akamatsu, Shigeru, et al.. (2004). Comparison of racial effect in face identification systems based on Eigenface and GaborJet. Society of Instrument and Control Engineers of Japan. 1. 669–674. 1 indexed citations
11.
Ogawa, Takahiro, et al.. (2000). The role of facial parts in facial expression judgment. Perception. 29. 95.
12.
Lyons, Michael J., et al.. (2000). Viewpoint Dependent Facial Expressions Recognition Japanese Noh Masks and the Human Face. eScholarship (California Digital Library). 22(22).
13.
Kato, Takashi, et al.. (1998). Is facial attractiveness determined by any particular facial part. 97(599). 17–22. 1 indexed citations
14.
Akamatsu, Shigeru, et al.. (1994). Porphyrin Pigment in Black-Lip Pearls and Its Application to Pearl Identification. Fisheries Science. 60(1). 69–71. 22 indexed citations
15.
Akamatsu, Shigeru, Tsutomu Sasaki, Hideo Fukamachi, & Yasuhito Suenaga. (1993). Automatic extraction of target images for face identification using the sub-space classification method. IEICE Transactions on Information and Systems. 76(10). 1190–1198. 7 indexed citations
16.
Sasaki, Tsutomu, Shigeru Akamatsu, Hideo Fukamachi, & Yasuhito Suenaga. (1992). A color segmentation method for image registration in automatic face recognition. SaB17–SaB17. 2 indexed citations
17.
Akamatsu, Shigeru, Tsutomu Sasaki, Hideo Fukamachi, & Yasuhito Suenaga. (1992). TARGET IMAGE EXTRACTION FOR FACE RECOGNITION USING THE SUB-SPACE CLASSIFICATION METHOD. Machine Vision and Applications. 465–468. 1 indexed citations
18.
Akamatsu, Shigeru. (1991). A new method for designing face image classifier using 3D CG modes. 1606. 204–216. 2 indexed citations
19.
Ueda, Kunihiko & Shigeru Akamatsu. (1980). Taxonomic study of Magnolia sieboldii C. Koch. 31. 117–126. 7 indexed citations
20.
Akamatsu, Shigeru, et al.. (1977). . NIPPON SUISAN GAKKAISHI. 43(6). 773–777. 6 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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