Shigeru Sakaguchi
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 2%
- Mathematical Physics top 10%
- Control and Systems Engineering
- Numerical Analysis
- Co-authors
- Rolando MagnaniniGiulio CiraoloTakashi SuzukiAngelo AlvinoGiovanni PorruCristian EnacheHiroaki MukaidaniHyeonbae Kang
- Topics
- Advanced Mathematical Modeling in Engineering (32 papers)Nonlinear Partial Differential Equations (29 papers)Geometric Analysis and Curvature Flows (11 papers)
- Journals
- The Journal of PediatricsAnnals of MathematicsJournal of Mathematical Analysis and Applications
- Partner nations
- JapanItalySouth Korea
In The Last Decade
Shigeru Sakaguchi
44 papers receiving 305 citations
Peers
Comparison fields: 5 of 27
- Applied Mathematics 286
- Computational Theory and Mathematics 263
- Mathematical Physics 118
- Control and Systems Engineering 35
- Numerical Analysis 25
Countries citing papers authored by Shigeru Sakaguchi
This map shows the geographic impact of Shigeru Sakaguchi'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 Shigeru Sakaguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Sakaguchi more than expected).
Fields of papers citing papers by Shigeru Sakaguchi
This network shows the impact of papers produced by Shigeru Sakaguchi. 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 Shigeru Sakaguchi. The network helps show where Shigeru Sakaguchi may publish in the future.
Co-authorship network of co-authors of Shigeru Sakaguchi
This figure shows the co-authorship network connecting the top 25 collaborators of Shigeru Sakaguchi. A scholar is included among the top collaborators of Shigeru Sakaguchi 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 Shigeru Sakaguchi. Shigeru Sakaguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 10 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 7 | |
| 15 | 18 | |
| 16 | Critical points of solutions to the obstacle problem in the plane | 1 |
| 17 | Concavity properties of solutions to some degenerate quasilinear elliptic Dirichlet problems | 114 |
| 18 | 2 | |
| 19 | Star shaped coincidence sets in the obstacle problem | 1 |
| 20 | 1 |
About Shigeru Sakaguchi
Shigeru Sakaguchi is a scholar working on Applied Mathematics, Mathematical Physics and Computational Theory and Mathematics, having authored 52 papers that have together received 332 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (32 papers), Nonlinear Partial Differential Equations (29 papers) and Geometric Analysis and Curvature Flows (11 papers). The work is most often cited by research in Applied Mathematics (286 citations), Computational Theory and Mathematics (263 citations) and Mathematical Physics (118 citations). Shigeru Sakaguchi has collaborated with scholars based in Japan, Italy and South Korea. Frequent co-authors include Rolando Magnanini, Giulio Ciraolo, Takashi Suzuki, Angelo Alvino, Giovanni Porru, Cristian Enache, Hiroaki Mukaidani, Hyeonbae Kang, Jugal K. Prajapat and Toshio Tsuji. Their work appears in journals such as The Journal of Pediatrics, Annals of Mathematics and Journal of Mathematical Analysis and Applications.
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.