Masato Koda
- Civil and Structural Engineering top 10%
- Statistics, Probability and Uncertainty top 5%
- Artificial Intelligence
- Environmental Engineering
- Control and Systems Engineering
- Co-authors
- John H. SeinfeldGregory J. McRaeAli H. DoğruGeorges DupretK. ItohOsamu MurataOsamu KusakabeHiroyuki Okano
- Topics
- Neural Networks and Applications (8 papers)Geotechnical Engineering and Underground Structures (5 papers)Differential Equations and Numerical Methods (4 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Masato Koda
35 papers receiving 386 citations
Peers
Comparison fields: 5 of 100
- Civil and Structural Engineering 87
- Statistics, Probability and Uncertainty 83
- Artificial Intelligence 68
- Environmental Engineering 51
- Control and Systems Engineering 46
Countries citing papers authored by Masato Koda
This map shows the geographic impact of Masato Koda'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 Masato Koda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masato Koda more than expected).
Fields of papers citing papers by Masato Koda
This network shows the impact of papers produced by Masato Koda. 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 Masato Koda. The network helps show where Masato Koda may publish in the future.
Co-authorship network of co-authors of Masato Koda
This figure shows the co-authorship network connecting the top 25 collaborators of Masato Koda. A scholar is included among the top collaborators of Masato Koda 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 Masato Koda. Masato Koda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Seismic design of GRS integral bridge | 3 |
| 3 | 7 | |
| 4 | Mining Association Rules using Lattice Theory (6th Workshop on Stochastic Numerics) | 1 |
| 5 | 11 | |
| 6 | 41 | |
| 7 | Bootstrap Training for Neural Network Learning (4th Workshop on Stochastic Numerics) | 0 |
| 8 | 3 | |
| 9 | Variance-Based Methods for Sensitivity Analysis | 3 |
| 10 | 9 | |
| 11 | 5 | |
| 12 | COMPARISON OF IMPACT VIBRATION TEST WITH MICROTREMOR MEASUREMENT FOR SPREAD FOUNDATION PIERS | 1 |
| 13 | 7 | |
| 14 | 3 | |
| 15 | 16 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 97 | |
| 19 | [ELECTROMYOGRAM OF TRUNK MUSCLES IN VIEW OF THEIR PROTECTING FUNCTION OF SPINAL COLUMN]. | 2 |
| 20 | 1 |
About Masato Koda
Masato Koda is a scholar working on Numerical Analysis, General Engineering and Artificial Intelligence, having authored 38 papers that have together received 425 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Geotechnical Engineering and Underground Structures (5 papers) and Differential Equations and Numerical Methods (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (83 citations), General Engineering (5 citations) and Civil and Structural Engineering (87 citations). Masato Koda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include John H. Seinfeld, Gregory J. McRae, Ali H. Doğru, Georges Dupret, K. Itoh, Osamu Murata, Osamu Kusakabe, Hiroyuki Okano, X. Zeng and Stefano Tarantola. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Computational Physics and Automatica.
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.