B. Tirozzi
Impact in
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods
- Mathematical Physics top 2%
- Advanced Mathematical Physics Problems
Papers in
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- Quantum chaos and dynamical systems 9
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- Stochastic processes and statistical mechanics 9
- Advanced Mathematical Physics Problems 9
- Co-authors
- S. Yu. Dobrokhotov (25 shared papers)Jianfeng Feng (14 shared papers)А. И. Шафаревич (5 shared papers)Enrico Rossoni (2 shared papers)Mariya Shcherbina (11 shared papers)Sergiy Reutskiy (9 shared papers)В. Е. Назайкинский (4 shared papers)R. L. Dobrushin (1 shared paper)
In The Last Decade
B. Tirozzi
104 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 112
- Numerical Analysis 193
- Mathematical Physics 320
- Statistical and Nonlinear Physics 299
- Earth-Surface Processes 93
- Applied Mathematics 126
Countries citing papers authored by B. Tirozzi
This map shows the geographic impact of B. Tirozzi'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 B. Tirozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Tirozzi more than expected).
Fields of papers citing papers by B. Tirozzi
This network shows the impact of papers produced by B. Tirozzi. 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 B. Tirozzi. The network helps show where B. Tirozzi may publish in the future.
Co-authors
The 25 scholars most cited alongside B. Tirozzi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 119 | |
| 2 | 2012 | 101 | |
| 3 | 2008 | 69 | |
| 4 | 2003 | 55 | |
| 5 | 1977 | 49 | |
| 6 | 2010 | 36 | |
| 7 | 2007 | 36 | |
| 8 | 2007 | 32 | |
| 9 | 2010 | 30 | |
| 10 | 2013 | 30 | |
| 11 | 1998 | 30 | |
| 12 | 2003 | 28 | |
| 13 | 2009 | 28 | |
| 14 | 1991 | 28 | |
| 15 | 2010 | 26 | |
| 16 | 2000 | 26 | |
| 17 | 2006 | 25 | |
| 18 | 1976 | 25 | |
| 19 | 2010 | 24 | |
| 20 | 2006 | 24 |
About B. Tirozzi
B. Tirozzi is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Artificial Intelligence, Cognitive Neuroscience and Condensed Matter Physics, having authored 114 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks and Applications (27 papers), Neural dynamics and brain function (17 papers), Theoretical and Computational Physics (15 papers), Differential Equations and Numerical Methods (13 papers), Advanced Mathematical Modeling in Engineering (10 papers), Stochastic processes and statistical mechanics (9 papers), Advanced Mathematical Physics Problems (9 papers) and Quantum chaos and dynamical systems (9 papers). The work is most often cited by research in Numerical Analysis (193 citations), Mathematical Physics (320 citations), Statistical and Nonlinear Physics (299 citations), Earth-Surface Processes (93 citations) and Applied Mathematics (126 citations). B. Tirozzi has collaborated with scholars based in Italy, Russia and Ukraine. Frequent co-authors include S. Yu. Dobrokhotov, Jianfeng Feng, А. И. Шафаревич, Enrico Rossoni, Mariya Shcherbina, Sergiy Reutskiy, В. Е. Назайкинский, R. L. Dobrushin, Daniela Bianchi and F. Moos. Their work appears in journals such as Russian Journal of Mathematical Physics, Communications in Mathematical Physics, Mathematical and Computer Modelling, Journal of Statistical Physics and Computers & Mathematics with 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.