Alexander S. Bratus
- Modeling and Simulation top 2%
- Civil and Structural Engineering top 10%
- Control and Systems Engineering top 10%
- Molecular Biology
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- M. F. DimentbergD. V. IourtchenkoElena FimmelDaniil YurchenkoVictor M. Pérez-Garcı́aArtem S. NovozhilovMohammad NooriTatiana Galochkina
- Topics
- Mathematical Biology Tumor Growth (17 papers)Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)Evolution and Genetic Dynamics (11 papers)
- Journals
- International Journal of Solids and StructuresJournal of the Physical Society of JapanPhysica A Statistical Mechanics and its Applications
- Partner nations
- RussiaUnited StatesUnited Kingdom
In The Last Decade
Alexander S. Bratus
58 papers receiving 402 citations
Peers
Comparison fields: 5 of 66
- Modeling and Simulation 136
- Civil and Structural Engineering 89
- Control and Systems Engineering 84
- Molecular Biology 69
- Statistics, Probability and Uncertainty 62
Countries citing papers authored by Alexander S. Bratus
This map shows the geographic impact of Alexander S. Bratus'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 Alexander S. Bratus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander S. Bratus more than expected).
Fields of papers citing papers by Alexander S. Bratus
This network shows the impact of papers produced by Alexander S. Bratus. 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 Alexander S. Bratus. The network helps show where Alexander S. Bratus may publish in the future.
Co-authorship network of co-authors of Alexander S. Bratus
This figure shows the co-authorship network connecting the top 25 collaborators of Alexander S. Bratus. A scholar is included among the top collaborators of Alexander S. Bratus 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 Alexander S. Bratus. Alexander S. Bratus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 12 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 6 | |
| 13 | 7 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 26 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 9 |
About Alexander S. Bratus
Alexander S. Bratus is a scholar working on Modeling and Simulation, Mathematical Physics and Statistics, Probability and Uncertainty, having authored 66 papers that have together received 440 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (17 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers) and Evolution and Genetic Dynamics (11 papers). The work is most often cited by research in Modeling and Simulation (136 citations), Statistics, Probability and Uncertainty (62 citations) and Numerical Analysis (35 citations). Alexander S. Bratus has collaborated with scholars based in Russia, United States and United Kingdom. Frequent co-authors include M. F. Dimentberg, D. V. Iourtchenko, Elena Fimmel, Daniil Yurchenko, Victor M. Pérez-Garcı́a, Artem S. Novozhilov, Mohammad Noori, Tatiana Galochkina, Н. В. Баничук and Chin‐Kun Hu. Their work appears in journals such as International Journal of Solids and Structures, Journal of the Physical Society of Japan and Physica A Statistical Mechanics and its 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.