Alexander Alexeev
Impact in
- Condensed Matter Physics top 2%
- Micro and Nano Robotics
- Computational Mechanics top 1%
- Lattice Boltzmann Simulation Studies
Papers in
-
- Micro and Nano Robotics 30
-
- Lattice Boltzmann Simulation Studies 25
- Fluid Dynamics and Thin Films 11
- Co-authors
- Anna C. BalazsWenbin MaoHassan MasoudRolf VerbergBenjamin HertzbergGleb YushinZachary MillsTodd Sulchek
- Journals
- Physics of Fluids (14 papers)Soft Matter (11 papers)Journal of Fluid Mechanics (7 papers)Langmuir (5 papers)Scientific Reports (4 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Alexander Alexeev
133 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 133
- Condensed Matter Physics 607
- Computational Mechanics 952
- Surfaces, Coatings and Films 324
- Molecular Medicine 202
- Biomedical Engineering 1.6k
Countries citing papers authored by Alexander Alexeev
This map shows the geographic impact of Alexander 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 Alexander Alexeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Alexeev more than expected).
Fields of papers citing papers by Alexander Alexeev
This network shows the impact of papers produced by Alexander 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 Alexander Alexeev. The network helps show where Alexander Alexeev may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 5 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 3 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 8 | |
| 10 | 2018 | 9 | |
| 11 | 2018 | 23 | |
| 12 | 2017 | 15 | |
| 13 | Design of a rapid magnetic microfluidic mixer | 2015 | 1 |
| 14 | 2015 | 16 | |
| 15 | Stiffness Dependent Separation of Cells in a Microfluidic Device | 2013 | 3 |
| 16 | 2013 | 60 | |
| 17 | Microfluidic mixing using an array of superparamagnetic beads | 2011 | 2 |
| 18 | 2011 | 9 | |
| 19 | 2010 | 18 | |
| 20 | 2006 | 29 |
About Alexander Alexeev
Alexander Alexeev is a scholar working on Condensed Matter Physics, Computational Mechanics, Biomedical Engineering, Surfaces, Coatings and Films and Molecular Medicine, having authored 136 papers that have together received 3.8k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (50 papers), Micro and Nano Robotics (30 papers), Lattice Boltzmann Simulation Studies (25 papers), Microfluidic and Capillary Electrophoresis Applications (20 papers), Blood properties and coagulation (15 papers), 3D Printing in Biomedical Research (11 papers), Fluid Dynamics and Thin Films (11 papers) and Biomimetic flight and propulsion mechanisms (10 papers). The work is most often cited by research in Condensed Matter Physics (607 citations), Computational Mechanics (952 citations), Surfaces, Coatings and Films (324 citations), Molecular Medicine (202 citations) and Biomedical Engineering (1.6k citations). Alexander Alexeev has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Anna C. Balazs, Wenbin Mao, Hassan Masoud, Rolf Verberg, Benjamin Hertzberg, Gleb Yushin, Zachary Mills, Todd Sulchek, William E. Uspal and Peter Stephan. Their work appears in journals such as Physics of Fluids, Soft Matter, Journal of Fluid Mechanics, Langmuir and Scientific Reports.
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.