Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Coding facial expressions with Gabor wavelets
20021.5k citationsMichael J. Lyons, Shigeru Akamatsu et al.profile →
Effects of sexual dimorphism on facial attractiveness
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
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.
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.
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.
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.
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
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
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.