Dmitry Alexeev
Impact in
- Computational Mechanics top 10%
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics and Turbulent Flows
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- Model Reduction and Neural Networks
Papers in
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- Lattice Boltzmann Simulation Studies 2
- Granular flow and fluidized beds 2
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- Blood properties and coagulation 3
- Co-authors
- Petros Koumoutsakos (8 shared papers)Panagiotis Angelikopoulos (2 shared papers)Konstantinos P. Giapis (1 shared paper)Jie Chen (1 shared paper)Jens Honoré Walther (1 shared paper)Diego Rossinelli (4 shared papers)Siddhartha Verma (1 shared paper)Wim M. van Rees (1 shared paper)
- Journals
- Computer Physics Communications (1 paper)Nano Letters (1 paper)Physical Review Fluids (1 paper)Physical Review Applied (1 paper)Computer Methods in Applied Mechanics and Engineering (1 paper)
- Partner nations
- SwitzerlandUnited StatesGreece
In The Last Decade
Dmitry Alexeev
11 papers receiving 396 citations
Peers
Comparison fields: 5 of 71
- Computational Mechanics 98
- Statistical and Nonlinear Physics 48
- Condensed Matter Physics 42
- Materials Chemistry 160
- Aerospace Engineering 76
Countries citing papers authored by Dmitry Alexeev
This map shows the geographic impact of Dmitry Alexeev'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 Dmitry Alexeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Alexeev more than expected).
Fields of papers citing papers by Dmitry Alexeev
This network shows the impact of papers produced by Dmitry Alexeev. 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 Dmitry Alexeev. The network helps show where Dmitry Alexeev may publish in the future.
Co-authors
The 25 scholars most cited alongside Dmitry Alexeev, 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 | 2015 | 190 | |
| 2 | 2017 | 121 | |
| 3 | 2014 | 25 | |
| 4 | 2015 | 24 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 12 | |
| 7 | 2005 | 7 | |
| 8 | 2010 | 3 | |
| 9 | 2020 | 1 | |
| 10 | 2017 | 1 | |
| 11 | 2025 | 1 |
About Dmitry Alexeev
Dmitry Alexeev is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine, Biomedical Engineering, Fluid Flow and Transfer Processes and Computer Networks and Communications, having authored 11 papers that have together received 401 indexed citations. Recurring topics across this work include Blood properties and coagulation (3 papers), Microfluidic and Bio-sensing Technologies (3 papers), Rheology and Fluid Dynamics Studies (2 papers), Lattice Boltzmann Simulation Studies (2 papers), Granular flow and fluidized beds (2 papers), Landslides and related hazards (1 paper), Fuzzy Logic and Control Systems (1 paper) and Geotechnical Engineering and Soil Mechanics (1 paper). The work is most often cited by research in Computational Mechanics (98 citations), Statistical and Nonlinear Physics (48 citations), Condensed Matter Physics (42 citations), Materials Chemistry (160 citations) and Aerospace Engineering (76 citations). Dmitry Alexeev has collaborated with scholars based in Switzerland, United States and Greece. Frequent co-authors include Petros Koumoutsakos, Panagiotis Angelikopoulos, Konstantinos P. Giapis, Jie Chen, Jens Honoré Walther, Diego Rossinelli, Siddhartha Verma, Wim M. van Rees, Guido Novati and Sergey Litvinov. Their work appears in journals such as Computer Physics Communications, Nano Letters, Physical Review Fluids, Physical Review Applied and Computer Methods in Applied Mechanics and Engineering.
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.