Daishin Ueyama

About

Daishin Ueyama is a scholar working on Computer Networks and Communications, Genetics and Statistical and Nonlinear Physics. According to data from OpenAlex, Daishin Ueyama has authored 22 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Networks and Communications, 6 papers in Genetics and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Daishin Ueyama’s work include Nonlinear Dynamics and Pattern Formation (12 papers), Evolution and Genetic Dynamics (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). Daishin Ueyama is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (12 papers), Evolution and Genetic Dynamics (6 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (4 papers). Daishin Ueyama collaborates with scholars based in Japan, Hungary and United States. Daishin Ueyama's co-authors include Yasumasa Nishiura, István Lagzi, Chiun‐Chuan Chen, Hiroto Shoji, Takao Ohta, Masayasu Mimura, Ryo Kobayashi, Michał Branicki, Artur Braun and Rita Tóth and has published in prestigious journals such as Langmuir, Chemical Physics Letters and Physical Chemistry Chemical Physics.

In The Last Decade

Co-authorship network of co-authors of Daishin Ueyama i

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Fields of papers citing papers by Daishin Ueyama

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daishin Ueyama

Since Specialization

Citations

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