Syoiti Ninomiya

14 papers and 271 indexed citations i.

About

Syoiti Ninomiya is a scholar working on Numerical Analysis, Finance and Computational Theory and Mathematics. According to data from OpenAlex, Syoiti Ninomiya has authored 14 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Numerical Analysis, 6 papers in Finance and 4 papers in Computational Theory and Mathematics. Recurrent topics in Syoiti Ninomiya’s work include Mathematical Approximation and Integration (8 papers), Stochastic processes and financial applications (6 papers) and Mathematical functions and polynomials (3 papers). Syoiti Ninomiya is often cited by papers focused on Mathematical Approximation and Integration (8 papers), Stochastic processes and financial applications (6 papers) and Mathematical functions and polynomials (3 papers). Syoiti Ninomiya collaborates with scholars based in Japan and United States. Syoiti Ninomiya's co-authors include Nicolas Victoir, Shu Tezuka, Shunji Ito, Akira Tajima and Shigeo Kusuoka and has published in prestigious journals such as Mathematics and Computers in Simulation, Finance and Stochastics and Applied Mathematical Finance.

In The Last Decade

Co-authorship network of co-authors of Syoiti Ninomiya i

Fields of papers citing papers by Syoiti Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Syoiti Ninomiya

Since Specialization
Citations

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

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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