Tadahisa Funaki
- Mathematical Physics top 2%
- Stochastic processes and statistical mechanics 23
- Finance top 2%
- Stochastic processes and financial applications 12
- Modeling and Simulation top 2%
- Applied Mathematics top 2%
- Navier-Stokes equation solutions 4
- Statistics and Probability top 2%
- Random Matrices and Applications 5
- Markov Chains and Monte Carlo Methods 5
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- Theoretical and Computational Physics 21
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- Advanced Mathematical Modeling in Engineering 10
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- Advanced Thermodynamics and Statistical Mechanics 7
- Co-authors
- Wojbor A. WoyczyńskiPiotr BilerHerbert SpohnStefano OllaAtsushi InoueJeremy QuastelMasato HoshinoДонатас Сургайлис
- Journals
- Communications in Mathematical Physics (4 papers)Lecture notes in mathematics (1 paper)Journal of Mathematical Analysis and Applications (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Tadahisa Funaki
52 papers receiving 942 citations
Peers
Comparison fields: 5 of 57
- Mathematical Physics 542
- Finance 384
- Modeling and Simulation 165
- Applied Mathematics 234
- Statistics and Probability 180
Countries citing papers authored by Tadahisa Funaki
This map shows the geographic impact of Tadahisa Funaki'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 Tadahisa Funaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadahisa Funaki more than expected).
Fields of papers citing papers by Tadahisa Funaki
This network shows the impact of papers produced by Tadahisa Funaki. 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 Tadahisa Funaki. The network helps show where Tadahisa Funaki may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tadahisa Funaki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 2 | |
| 4 | 2017 | 21 | |
| 5 | 2016 | 13 | |
| 6 | 2015 | 25 | |
| 7 | 2014 | 4 | |
| 8 | 2012 | 15 | |
| 9 | 2012 | 2 | |
| 10 | 2010 | 2 | |
| 11 | 2007 | 2 | |
| 12 | 2006 | 2 | |
| 13 | 2001 | 46 | |
| 14 | 1999 | 8 | |
| 15 | 1998 | 138 | |
| 16 | 1992 | 21 | |
| 17 | 1991 | 29 | |
| 18 | 1991 | 29 | |
| 19 | 1983 | 4 | |
| 20 | 1979 | 13 |
About Tadahisa Funaki
Tadahisa Funaki is a scholar working on Mathematical Physics, Condensed Matter Physics and Applied Mathematics, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (23 papers), Theoretical and Computational Physics (21 papers), Stochastic processes and financial applications (12 papers), Advanced Mathematical Modeling in Engineering (10 papers), Advanced Thermodynamics and Statistical Mechanics (7 papers), Random Matrices and Applications (5 papers), Markov Chains and Monte Carlo Methods (5 papers) and Navier-Stokes equation solutions (4 papers). The work is most often cited by research in Mathematical Physics (542 citations), Finance (384 citations) and Modeling and Simulation (165 citations). Tadahisa Funaki has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Wojbor A. Woyczyński, Piotr Biler, Herbert Spohn, Stefano Olla, Atsushi Inoue, Jeremy Quastel, Masato Hoshino, Донатас Сургайлис, Joel L. Lebowitz and J. Fritz. Their work appears in journals such as Communications in Mathematical Physics, Lecture notes in 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.