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.
GEINet: View-invariant gait recognition using a convolutional neural network
2016304 citationsYasushi Makihara, Daigo Muramatsu et al.profile →
Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition
2018298 citationsNoriko Takemura, Yasushi Makihara et al.SHILAP Revista de lepidopterologíaprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Yasushi Yagi'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 Yasushi Yagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasushi Yagi more than expected).
This network shows the impact of papers produced by Yasushi Yagi. 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 Yasushi Yagi. The network helps show where Yasushi Yagi may publish in the future.
Co-authorship network of co-authors of Yasushi Yagi
This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Yagi.
A scholar is included among the top collaborators of Yasushi Yagi 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 Yasushi Yagi. Yasushi Yagi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Takemura, Noriko, Yasushi Makihara, Daigo Muramatsu, Tomio Echigo, & Yasushi Yagi. (2018). Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition. SHILAP Revista de lepidopterología. 10(1).298 indexed citations breakdown →
Yagi, Yasushi. (1999). Omnidirectional Sensing and Its Applications. IEICE Transactions on Information and Systems. 82(3). 568–579.119 indexed citations
17.
Yagi, Yasushi, et al.. (1998). Construction of Standard Software for Face Recognition and Synthesis.. 97. 129–136.5 indexed citations
18.
Yagi, Yasushi, et al.. (1993). Guidance of a Mobile Robot with Environmental Map Using Omnidirectional Image Sensor COPIS. IEICE Transactions on Information and Systems. 486–493.5 indexed citations
19.
Yagi, Yasushi, et al.. (1993). Guidance of a Mobile Robot with Environmental Map Using Omnidirectional Image Sensor COPIS (Special Issue on Image Processing and Understanding). IEICE Transactions on Information and Systems. 76(4). 486–493.4 indexed citations
20.
Utsumi, Akira, Yasushi Yagi, & Masahiko Yachida. (1992). Estimating Surface and Spatial Structure from Wire-Frame Model Using Geometrical & Heuristical Relation.. Machine Vision and Applications. 25–28.3 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.