Ikuo Arizono

603 total citations
53 papers, 457 citations indexed

About

Ikuo Arizono is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Industrial and Manufacturing Engineering. According to data from OpenAlex, Ikuo Arizono has authored 53 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Statistics, Probability and Uncertainty, 15 papers in Statistics and Probability and 15 papers in Industrial and Manufacturing Engineering. Recurrent topics in Ikuo Arizono's work include Advanced Statistical Process Monitoring (22 papers), Advanced Statistical Methods and Models (10 papers) and Industrial Vision Systems and Defect Detection (10 papers). Ikuo Arizono is often cited by papers focused on Advanced Statistical Process Monitoring (22 papers), Advanced Statistical Methods and Models (10 papers) and Industrial Vision Systems and Defect Detection (10 papers). Ikuo Arizono collaborates with scholars based in Japan and Belarus. Ikuo Arizono's co-authors include Hiroshi Ohta, Akihiro Kanagawa, Jun’ichi Kobayashi, Hiroyuki Ohta, Atsushi Kittaka and Hiroshi Ota and has published in prestigious journals such as European Journal of Operational Research, International Journal of Production Economics and International Journal of Production Research.

In The Last Decade

Ikuo Arizono

43 papers receiving 433 citations

Peers

Ikuo Arizono
Comparison fields: 5 of 53
  • Statistics, Probability and Uncertainty 239
  • Statistics and Probability 193
  • Industrial and Manufacturing Engineering 145
  • Management Science and Operations Research 92
  • Artificial Intelligence 55
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Citations per field, relative to Ikuo Arizono
Ikuo Arizono · 1×
Citations per year, relative to Ikuo Arizono
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Countries citing papers authored by Ikuo Arizono

Since Specialization
Citations

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

Fields of papers citing papers by Ikuo Arizono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ikuo Arizono

This figure shows the co-authorship network connecting the top 25 collaborators of Ikuo Arizono. A scholar is included among the top collaborators of Ikuo Arizono 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 Ikuo Arizono. Ikuo Arizono 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
# Work Indexed citations
1 1
2 21
3 7
4 0
5 1
6
Study on approximation for cumulative distribution function of doubly non-central F distribution
1
7 20
8
Design of variable repetitive group sampling plan on operating characteristics indexed by quality loss
2
9 11
10 4
11 1
12
Estimation of Change Point in Process State on CUSUM (x, s) Control Chart
2
13
Variable Sampling Inspection with Screening When Lot Quality Follows Mixed Normal Distribution
0
14 1
15 1
16 15
17
A Test for Normality Based on Generalized Entropy
1
18 41
19 1
20 1

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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