Seiichi Kamada
- Geometry and Topology top 0.5%
- Mathematical Physics top 1%
- Discrete Mathematics and Combinatorics top 1%
- Computational Theory and Mathematics top 2%
- Computer Graphics and Computer-Aided Design top 2%
- Co-authors
- Masahico SaitoJ. Scott CarterNaoko KamadaDaniel JelsovskyLaurel LangfordScott L. CarterYukio MatsumotoAkio Kawauchi
- Topics
- Geometric and Algebraic Topology (59 papers)Homotopy and Cohomology in Algebraic Topology (34 papers)Advanced Combinatorial Mathematics (22 papers)
- Journals
- Transactions of the American Mathematical SocietyAdvances in MathematicsBulletin of the American Mathematical Society
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Seiichi Kamada
66 papers receiving 962 citations
Peers
Comparison fields: 5 of 38
- Geometry and Topology 986
- Mathematical Physics 651
- Discrete Mathematics and Combinatorics 437
- Computational Theory and Mathematics 246
- Computer Graphics and Computer-Aided Design 111
Countries citing papers authored by Seiichi Kamada
This map shows the geographic impact of Seiichi Kamada'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 Seiichi Kamada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Kamada more than expected).
Fields of papers citing papers by Seiichi Kamada
This network shows the impact of papers produced by Seiichi Kamada. 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 Seiichi Kamada. The network helps show where Seiichi Kamada may publish in the future.
Co-authorship network of co-authors of Seiichi Kamada
This figure shows the co-authorship network connecting the top 25 collaborators of Seiichi Kamada. A scholar is included among the top collaborators of Seiichi Kamada 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 Seiichi Kamada. Seiichi Kamada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | Braids and branched coverings of dimension three (Intelligence of Low-dimensional Topology) | 1 |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 40 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | Algebraic formulae for the q-inverse in a free group | 2 |
| 17 | 38 | |
| 18 | 7 | |
| 19 | 8 | |
| 20 | 23 |
About Seiichi Kamada
Seiichi Kamada is a scholar working on Geometry and Topology, Discrete Mathematics and Combinatorics and Mathematical Physics, having authored 69 papers that have together received 1.0k indexed citations. Recurring topics across this work include Geometric and Algebraic Topology (59 papers), Homotopy and Cohomology in Algebraic Topology (34 papers) and Advanced Combinatorial Mathematics (22 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (437 citations), Geometry and Topology (986 citations) and Mathematical Physics (651 citations). Seiichi Kamada has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Masahico Saito, J. Scott Carter, Naoko Kamada, Daniel Jelsovsky, Laurel Langford, Scott L. Carter, Yukio Matsumoto, Akio Kawauchi, Sang Youl Lee and Hiroshi Tamaru. Their work appears in journals such as Transactions of the American Mathematical Society, Advances in Mathematics and Bulletin of the American Mathematical Society.
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.