SugiyamaMasashi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistics and Probability.
According to data from OpenAlex, SugiyamaMasashi has authored 8 papers receiving a total of 856 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Statistics and Probability. Recurrent topics in SugiyamaMasashi's work include Face and Expression Recognition (2 papers), Advanced Statistical Methods and Models (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). SugiyamaMasashi is often cited by papers focused on Face and Expression Recognition (2 papers), Advanced Statistical Methods and Models (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). SugiyamaMasashi collaborates with scholars based in . SugiyamaMasashi's co-authors include and has published in prestigious journals such as Journal of Machine Learning Research and Knowledge and Information Systems.
In The Last Decade
SugiyamaMasashi
8 papers
receiving
844 citations
Hit Papers
What are hit papers?
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.
Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis
2007608 citationsSugiyamaMasashiJournal of Machine Learning Researchprofile →
Countries citing papers authored by SugiyamaMasashi
Since
Specialization
Citations
This map shows the geographic impact of SugiyamaMasashi'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 SugiyamaMasashi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SugiyamaMasashi more than expected).
This network shows the impact of papers produced by SugiyamaMasashi. 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 SugiyamaMasashi. The network helps show where SugiyamaMasashi may publish in the future.
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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