Masato Koda

65 total papers · 563 total citations
38 papers, 425 citations indexed

About

Masato Koda is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Numerical Analysis. According to data from OpenAlex, Masato Koda has authored 38 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Civil and Structural Engineering and 6 papers in Numerical Analysis. Recurrent topics in Masato Koda's work include Neural Networks and Applications (8 papers), Geotechnical Engineering and Underground Structures (5 papers) and Differential Equations and Numerical Methods (4 papers). Masato Koda is often cited by papers focused on Neural Networks and Applications (8 papers), Geotechnical Engineering and Underground Structures (5 papers) and Differential Equations and Numerical Methods (4 papers). Masato Koda collaborates with scholars based in Japan, United States and France. Masato Koda's co-authors include John H. Seinfeld, Gregory J. McRae, Ali H. Doğru, Georges Dupret, Osamu Kusakabe, K. Itoh, Osamu Murata, Hiroyuki Okano, X. Zeng and Stefano Tarantola and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Computational Physics and Automatica.

In The Last Decade

Masato Koda

35 papers receiving 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Masato Koda 87 83 68 51 46 38 425
Youngjun Choe 67 0.8× 105 1.3× 45 0.7× 44 0.9× 37 0.8× 37 429
Mohammad Khalil 95 1.1× 183 2.2× 80 1.2× 77 1.5× 68 1.5× 45 469
N. Benjamin Erichson 32 0.4× 42 0.5× 89 1.3× 26 0.5× 44 1.0× 21 491
Zhili Tang 80 0.9× 72 0.9× 84 1.2× 26 0.5× 28 0.6× 54 491
Qin Lu 64 0.7× 23 0.3× 163 2.4× 39 0.8× 48 1.0× 60 444
Weixuan Li 123 1.4× 127 1.5× 55 0.8× 195 3.8× 17 0.4× 26 398
Yulin Li 49 0.6× 47 0.6× 44 0.6× 37 0.7× 17 0.4× 35 434
Durbha V. Murthy 182 2.1× 80 1.0× 18 0.3× 16 0.3× 59 1.3× 33 493
Joakim Beck 38 0.4× 160 1.9× 34 0.5× 36 0.7× 26 0.6× 23 394
Wei Xing 14 0.2× 52 0.6× 47 0.7× 56 1.1× 30 0.7× 67 420

Countries citing papers authored by Masato Koda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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