Dmitry Karpeev

797 citations
21 papers · 475 indexed · h-index 11

Dmitry Karpeev

20 papers receiving 461 citations

Peers

Dmitry Karpeev
Comparison fields: 5 of 64
  • Condensed Matter Physics 203
  • Numerical Analysis 70
  • Statistical and Nonlinear Physics 75
  • Biomedical Engineering 192
  • Computational Mechanics 87
Replace T. M. Rogers with:
T. M. Rogers Canada
Paolo Biscari Italy
Phani Motamarri United States
M. Rex Germany
M. Minkoff United States
A. Möbius Germany
Hao Ouyang China
Marco Paniconi United States
Slobodan Mijalković Netherlands
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Citations per field
00.5×11.7×
T. M. Rogers · 1×
Citations per year

Countries citing papers authored by Dmitry Karpeev

Since Specialization
Citations

This map shows the geographic impact of Dmitry Karpeev'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 Karpeev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dmitry Karpeev more than expected).

Fields of papers citing papers by Dmitry Karpeev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry Karpeev. 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 Karpeev. The network helps show where Dmitry Karpeev may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Dmitry Karpeev, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dmitry Karpeev Line = papers co-authored together Dmitry Karpeev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20179
3 201437
4 201314
5 20138
6 20104
7 201058
8 200980
9 200936
10 20093
11 200939
12 20089
13 20086
14
Interaction of Semi-flexible Filaments and Molecular Motors
20071
15 200714
16 20050
17 200410
18 200469
19 20011
20 200164

About Dmitry Karpeev

Dmitry Karpeev is a scholar working on Condensed Matter Physics, Numerical Analysis, Statistical and Nonlinear Physics, Fluid Flow and Transfer Processes and Biomedical Engineering, having authored 21 papers that have together received 475 indexed citations. Recurring topics across this work include Micro and Nano Robotics (9 papers), Microfluidic and Bio-sensing Technologies (5 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers), Molecular Communication and Nanonetworks (4 papers), Numerical methods for differential equations (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Characterization and Applications of Magnetic Nanoparticles (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Condensed Matter Physics (203 citations), Numerical Analysis (70 citations), Statistical and Nonlinear Physics (75 citations), Biomedical Engineering (192 citations) and Computational Mechanics (87 citations). Dmitry Karpeev has collaborated with scholars based in United States, France and Italy. Frequent co-authors include Igor S. Aranson, Leonid Berlyand, Matthew G. Knepley, B. M. Haines, C. M. Schober, A. Islas, Hans G. Kaper, Andrey Sokolov, G. K. Leaf and M. Grimsditch. Their work appears in journals such as Mathematics and Computers in Simulation, The Journal of Chemical Physics, Applied Physics Letters, Multiscale Modeling and Simulation and Physical Review B.

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.

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