Dmitry Alexeev
Impact in
- Condensed Matter Physics top 10%
- Micro and Nano Robotics
- Computational Mechanics top 10%
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics and Turbulent Flows
Papers in
-
- Lattice Boltzmann Simulation Studies 2
- Granular flow and fluidized beds 2
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- Blood properties and coagulation 3
- Co-authors
- Petros Koumoutsakos (9 shared papers)Panagiotis Angelikopoulos (2 shared papers)Jens Honoré Walther (1 shared paper)Konstantinos P. Giapis (1 shared paper)Jie Chen (1 shared paper)Diego Rossinelli (4 shared papers)Anselm Bräuer (1 shared paper)Mattia Gazzola (1 shared paper)
- Journals
- Computer Physics Communications (1 paper)Physical Review Applied (1 paper)Bioinspiration & Biomimetics (1 paper)Physical Review Fluids (1 paper)Nano Letters (1 paper)
- Partner nations
- SwitzerlandUnited StatesTajikistan
In The Last Decade
Dmitry Alexeev
12 papers receiving 487 citations
Peers
Comparison fields: 5 of 74
- Condensed Matter Physics 87
- Computational Mechanics 141
- Statistical and Nonlinear Physics 67
- Aerospace Engineering 122
- Materials Chemistry 157
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 | 186 | |
| 2 | 2017 | 116 | |
| 3 | 2016 | 108 | |
| 4 | 2014 | 25 | |
| 5 | 2015 | 20 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 10 | |
| 8 | 2005 | 6 | |
| 9 | 2010 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2020 | 1 | |
| 12 | 2017 | 1 |
About Dmitry Alexeev
Dmitry Alexeev is a scholar working on Computational Mechanics, Pulmonary and Respiratory Medicine, Biomedical Engineering, Computer Networks and Communications and Condensed Matter Physics, having authored 12 papers that have together received 493 indexed citations. Recurring topics across this work include Blood properties and coagulation (3 papers), Microfluidic and Bio-sensing Technologies (3 papers), Lattice Boltzmann Simulation Studies (2 papers), Rheology and Fluid Dynamics Studies (2 papers), Micro and Nano Robotics (2 papers), Granular flow and fluidized beds (2 papers), Biomimetic flight and propulsion mechanisms (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Condensed Matter Physics (87 citations), Computational Mechanics (141 citations), Statistical and Nonlinear Physics (67 citations), Aerospace Engineering (122 citations) and Materials Chemistry (157 citations). Dmitry Alexeev has collaborated with scholars based in Switzerland, United States and Tajikistan. Frequent co-authors include Petros Koumoutsakos, Panagiotis Angelikopoulos, Jens Honoré Walther, Konstantinos P. Giapis, Jie Chen, Diego Rossinelli, Anselm Bräuer, Mattia Gazzola, Wim M. van Rees and Guido Novati. Their work appears in journals such as Computer Physics Communications, Physical Review Applied, Bioinspiration & Biomimetics, Physical Review Fluids and Nano Letters.
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.