Haruo Yanai

1.3k citations
65 papers · 829 indexed · h-index 13
Topics
Matrix Theory and Algorithms (13 papers)Advanced Statistical Methods and Models (7 papers)Sensory Analysis and Statistical Methods (7 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Haruo Yanai

62 papers receiving 776 citations

Peers

Haruo Yanai
Comparison fields: 5 of 153
  • General Health Professions 128
  • Computational Theory and Mathematics 117
  • Statistics and Probability 117
  • Food Science 95
  • Analytical Chemistry 67
Replace Thaddeus Tarpey with:
Thaddeus Tarpey United States
Jürgen Groß Germany
D.S.G. Pollock United Kingdom
Mortaza Jamshidian United States
Alison L. Gibbs Canada
Nicole Krämer Germany
A. M. Skene United Kingdom
Luo Xiao United States
Ned Glick Canada
Yazhen Wang United States
Haruo Yanai relative to Thaddeus Tarpey United States Thaddeus Tarpey's profile →
Citations per field
00.5×10×14.2×
Thaddeus Tarpey · 1×
Citations per year

Countries citing papers authored by Haruo Yanai

Since Specialization
Citations

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

Fields of papers citing papers by Haruo Yanai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haruo Yanai

This figure shows the co-authorship network connecting the top 25 collaborators of Haruo Yanai. A scholar is included among the top collaborators of Haruo Yanai 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 Haruo Yanai. Haruo Yanai 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
#WorkIndexed citations
1 1
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3 3
4 3
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6 10
7 5
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11 8
12
A Comparative Study of the Joint First-Stage Achievement Test of the Academic Years 1979-1984 : A Multivariate Analytic Approach
2
13 16
14 5
15 6
16 1
17 24
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About Haruo Yanai

Haruo Yanai is a scholar working on Computational Mathematics, Research and Theory and Leadership and Management, having authored 65 papers that have together received 829 indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (13 papers), Advanced Statistical Methods and Models (7 papers) and Sensory Analysis and Statistical Methods (7 papers). The work is most often cited by research in Computational Mathematics (12 citations), Statistics and Probability (117 citations) and Research and Theory (9 citations). Haruo Yanai has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Yoshio Takane, Kei Takeuchi, Yasuharu Tokuda, C. Radhakrishna Rao, Osamu Takahashi, Tsuguya Fukui, Sachiko Ohde, Shigeaki Hinohara, Tomoya Okubo and Joshua Jacobs. Their work appears in journals such as PLoS ONE, Environmental Health Perspectives and Psychometrika.

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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