Ikumasa Yoshida
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- Geotechnical Engineering and Analysis 21
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- Structural Health Monitoring Techniques 21
- Infrastructure Maintenance and Monitoring 15
- Dam Engineering and Safety 7
- Geotechnical Engineering and Underground Structures 6
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- Probabilistic and Robust Engineering Design 12
- Orthodontics top 10%
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- Soil Geostatistics and Mapping 11
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- Landslides and related hazards 10
- Co-authors
- Mitsuyoshi AkiyamaDan M. FrangopolTakayuki ShukuYu OtakeJianye ChingKok‐Kwang PhoonSiu‐Kui AuMasaru HOSHIYA
- Cited by
- Safety, Risk, Reliability and QualityCivil and Structural EngineeringStatistics, Probability and Uncertainty
In The Last Decade
Ikumasa Yoshida
67 papers receiving 801 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Safety, Risk, Reliability and Quality 275
- Civil and Structural Engineering 589
- Statistics, Probability and Uncertainty 139
- Complementary and Manual Therapy 23
- Orthodontics 42
Countries citing papers authored by Ikumasa Yoshida
This map shows the geographic impact of Ikumasa Yoshida'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 Ikumasa Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikumasa Yoshida more than expected).
Fields of papers citing papers by Ikumasa Yoshida
This network shows the impact of papers produced by Ikumasa Yoshida. 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 Ikumasa Yoshida. The network helps show where Ikumasa Yoshida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ikumasa Yoshida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 7 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 1 | |
| 9 | 2015 | 0 | |
| 10 | 2014 | 2 | |
| 11 | 2014 | 1 | |
| 12 | 2013 | 0 | |
| 13 | 2011 | 0 | |
| 14 | 2011 | 2 | |
| 15 | 2010 | 2 | |
| 16 | 2009 | 1 | |
| 17 | 2007 | 1 | |
| 18 | 2005 | 4 | |
| 19 | Health Monitoring Algorithm by the Monte Carlo Filter Based on Non-Gaussian Noise | 2002 | 19 |
| 20 | Verification of input parameters for distinct element analysis of jointed rock mass | 1985 | 2 |
About Ikumasa Yoshida
Ikumasa Yoshida is a scholar working on Safety, Risk, Reliability and Quality, Civil and Structural Engineering and Statistics, Probability and Uncertainty, having authored 86 papers that have together received 863 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (21 papers), Geotechnical Engineering and Analysis (21 papers), Infrastructure Maintenance and Monitoring (15 papers), Probabilistic and Robust Engineering Design (12 papers), Soil Geostatistics and Mapping (11 papers), Landslides and related hazards (10 papers), Dam Engineering and Safety (7 papers) and Geotechnical Engineering and Underground Structures (6 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (275 citations), Civil and Structural Engineering (589 citations) and Statistics, Probability and Uncertainty (139 citations). Ikumasa Yoshida has collaborated with scholars based in Japan, Taiwan and Singapore. Frequent co-authors include Mitsuyoshi Akiyama, Dan M. Frangopol, Takayuki Shuku, Yu Otake, Jianye Ching, Kok‐Kwang Phoon, Siu‐Kui Au, Masaru HOSHIYA, Alfredo Garbuno-Iñigo and F.A. DiazDelaO. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Engineering Geology and Engineering Structures.
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.