Takashi Imamura
- Molecular Biology
- Mathematical Physics top 5%
- Cell Biology top 5%
- Statistics and Probability top 2%
- Condensed Matter Physics top 5%
- Co-authors
- Tomohiro SasamotoAusten RiggsThomas BaldwinQuentin GibsonNaomichi HatanoMitsuaki HosoyaHayato GoKirone Mallick
- Topics
- Random Matrices and Applications (12 papers)Neonatal Respiratory Health Research (10 papers)Stochastic processes and statistical mechanics (10 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Takashi Imamura
84 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 278
- Mathematical Physics 270
- Cell Biology 269
- Statistics and Probability 258
- Condensed Matter Physics 221
Countries citing papers authored by Takashi Imamura
This map shows the geographic impact of Takashi Imamura'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 Takashi Imamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Imamura more than expected).
Fields of papers citing papers by Takashi Imamura
This network shows the impact of papers produced by Takashi Imamura. 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 Takashi Imamura. The network helps show where Takashi Imamura may publish in the future.
Co-authorship network of co-authors of Takashi Imamura
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Imamura. A scholar is included among the top collaborators of Takashi Imamura 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 Takashi Imamura. Takashi Imamura 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 29 | |
| 6 | 5 | |
| 7 | 30 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | Dynamical properties of a tagged particle in the totally asymmetric simple exclusion process with the step-type initial condition | 10 |
| 13 | 7 | |
| 14 | 31 | |
| 15 | 59 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 9 | |
| 19 | 9 | |
| 20 | 7 |
About Takashi Imamura
Takashi Imamura is a scholar working on Statistics and Probability, Mathematical Physics and Discrete Mathematics and Combinatorics, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Random Matrices and Applications (12 papers), Neonatal Respiratory Health Research (10 papers) and Stochastic processes and statistical mechanics (10 papers). The work is most often cited by research in Statistics and Probability (258 citations), Mathematical Physics (270 citations) and Condensed Matter Physics (221 citations). Takashi Imamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Tomohiro Sasamoto, Austen Riggs, Thomas Baldwin, Quentin Gibson, Naomichi Hatano, Mitsuaki Hosoya, Hayato Go, Kirone Mallick, Nobuo Momoi and Jun Sasaki. Their work appears in journals such as Physical Review Letters, Journal of Biological Chemistry and Applied Physics Letters.
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.