A. R. Its
Impact in
- Statistical and Nonlinear Physics top 0.2%
- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Mathematical Physics top 1%
- Advanced Mathematical Physics Problems
Papers in
-
- Nonlinear Waves and Solitons 36
- Nonlinear Photonic Systems 20
-
- Advanced Mathematical Physics Problems 10
- Spectral Theory in Mathematical Physics 7
- Co-authors
- A. S. FokasV. B. MatveevV. E. KorepinA. V. KitaevA. G. IzerginLjudmila A. BordagS. V. ManakovВ. Е. Захаров
- Journals
- Communications in Mathematical Physics (7 papers)Nonlinearity (5 papers)Physical Review Letters (3 papers)Physica D Nonlinear Phenomena (3 papers)International Mathematics Research Notices (2 papers)
- Partner nations
- United StatesRussiaUnited Kingdom
In The Last Decade
A. R. Its
62 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 46
- Statistical and Nonlinear Physics 1.9k
- Mathematical Physics 836
- Geometry and Topology 669
- Statistics and Probability 441
- Discrete Mathematics and Combinatorics 167
Countries citing papers authored by A. R. Its
This map shows the geographic impact of A. R. Its'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 A. R. Its with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. R. Its more than expected).
Fields of papers citing papers by A. R. Its
This network shows the impact of papers produced by A. R. Its. 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 A. R. Its. The network helps show where A. R. Its may publish in the future.
Co-authorship network
The 25 scholars most cited alongside A. R. Its, 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 | 2020 | 3 | |
| 2 | 2018 | 22 | |
| 3 | 2014 | 14 | |
| 4 | 2014 | 0 | |
| 5 | 2010 | 6 | |
| 6 | 2008 | 55 | |
| 7 | 2006 | 37 | |
| 8 | 2006 | 16 | |
| 9 | 2005 | 185 | |
| 10 | 2004 | 69 | |
| 11 | 1996 | 98 | |
| 12 | 1995 | 1 | |
| 13 | 1995 | 6 | |
| 14 | 1992 | 1 | |
| 15 | 1992 | 29 | |
| 16 | 1990 | 6 | |
| 17 | 1990 | 40 | |
| 18 | 1989 | 23 | |
| 19 | 1988 | 5 | |
| 20 | 1986 | 14 |
About A. R. Its
A. R. Its is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Numerical Analysis, Geometry and Topology and Statistics and Probability, having authored 63 papers that have together received 3.0k indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (36 papers), Nonlinear Photonic Systems (20 papers), Advanced Mathematical Physics Problems (10 papers), Algebraic structures and combinatorial models (9 papers), Random Matrices and Applications (8 papers), Quantum many-body systems (8 papers), Cold Atom Physics and Bose-Einstein Condensates (7 papers) and Spectral Theory in Mathematical Physics (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.9k citations), Mathematical Physics (836 citations), Geometry and Topology (669 citations), Statistics and Probability (441 citations) and Discrete Mathematics and Combinatorics (167 citations). A. R. Its has collaborated with scholars based in United States, Russia and United Kingdom. Frequent co-authors include A. S. Fokas, V. B. Matveev, V. E. Korepin, A. V. Kitaev, A. G. Izergin, Ljudmila A. Bordag, S. V. Manakov, В. Е. Захаров, N. A. Slavnov and Andrei Kapaev. Their work appears in journals such as Communications in Mathematical Physics, Nonlinearity, Physical Review Letters, Physica D Nonlinear Phenomena and International Mathematics Research Notices.
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.