Ken Kuriyama
- Statistical and Nonlinear Physics top 5%
- Applied Mathematics top 5%
- Atomic and Molecular Physics, and Optics
- Artificial Intelligence top 10%
- Mechanics of Materials
- Co-authors
- Shigeru FuruichiKenjiro YanagiYoshiaki MIZUTAS. ShimamuraT. WatanabeShuji WatanabeAtsushi InoueMinoru Tanaka
- Topics
- Mathematical Inequalities and Applications (7 papers)Statistical Mechanics and Entropy (6 papers)Advanced Topics in Algebra (5 papers)
In The Last Decade
Ken Kuriyama
25 papers receiving 352 citations
Peers
Comparison fields: 5 of 55
- Statistical and Nonlinear Physics 168
- Applied Mathematics 151
- Atomic and Molecular Physics, and Optics 116
- Artificial Intelligence 96
- Mechanics of Materials 65
Countries citing papers authored by Ken Kuriyama
This map shows the geographic impact of Ken Kuriyama'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 Ken Kuriyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Kuriyama more than expected).
Fields of papers citing papers by Ken Kuriyama
This network shows the impact of papers produced by Ken Kuriyama. 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 Ken Kuriyama. The network helps show where Ken Kuriyama may publish in the future.
Co-authorship network of co-authors of Ken Kuriyama
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Kuriyama. A scholar is included among the top collaborators of Ken Kuriyama 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 Ken Kuriyama. Ken Kuriyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On an Abel's type generalization of the binomial theorems for the falling (or rising) factorial power | 1 |
| 2 | 8 | |
| 3 | 26 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 38 | |
| 7 | 38 | |
| 8 | 3 | |
| 9 | 49 | |
| 10 | 4 | |
| 11 | A Filling Problem on Identical Informatic-Cubes toward Theory of Systolic Arrays and Its Open Problems | 2 |
| 12 | 4 | |
| 13 | 1 | |
| 14 | Elementary Proof of Clarkson's Inequalities and their Generalization | 2 |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 5 | |
| 19 | 12 | |
| 20 | 2 |
About Ken Kuriyama
Ken Kuriyama is a scholar working on Algebra and Number Theory, Applied Mathematics and Mathematical Physics, having authored 33 papers that have together received 400 indexed citations. Recurring topics across this work include Mathematical Inequalities and Applications (7 papers), Statistical Mechanics and Entropy (6 papers) and Advanced Topics in Algebra (5 papers). The work is most often cited by research in Applied Mathematics (151 citations), Statistical and Nonlinear Physics (168 citations) and Mathematical Physics (54 citations). Ken Kuriyama has collaborated with scholars based in Japan and China. Frequent co-authors include Shigeru Furuichi, Kenjiro Yanagi, Yoshiaki MIZUTA, S. Shimamura, T. Watanabe, Shuji Watanabe, Atsushi Inoue, Minoru Tanaka, Mari Okada and Chenglun Liu. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of Materials Science and International Journal of Rock Mechanics and Mining Sciences.
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.