Dmitry Karpeev

826 citations
21 papers · 514 · h-index 11

Impact in

Papers in

Dmitry Karpeev

20 papers receiving 496 citations

Peers

Dmitry Karpeev
Comparison fields: 5 of 65
  • Condensed Matter Physics 216
  • Numerical Analysis 73
  • Statistical and Nonlinear Physics 77
  • Biomedical Engineering 211
  • Computational Mechanics 95
Replace Paolo Biscari with:
Paolo Biscari Italy
Phani Motamarri United States
K.-t. Leung United States
M. Rex Germany
Antonio Ortiz-Ambriz Spain
M. Minkoff United States
A. Möbius Germany
Slobodan Mijalković Serbia
Christoforos Theodorou France
Marco Paniconi United States
Dmitry Karpeev relative to Paolo Biscari Italy Paolo Biscari's profile →
Citations per field
00.5×10×15×18.3×
Paolo Biscari · 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-authors

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

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200986
2 200475
3 200167
4 201063
5 200944
6 201440
7 200940
8 201315
9 200714
10 201112
11 201310
12 200810
13 200410
14 20179
15 20086
16 20244
17 20104
18 20093
19
Interaction of Semi-flexible Filaments and Molecular Motors
20071
20 20011

About Dmitry Karpeev

Dmitry Karpeev is a scholar working on Condensed Matter Physics, Biomedical Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 21 papers that have together received 514 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), Microtubule and mitosis dynamics (2 papers) and Characterization and Applications of Magnetic Nanoparticles (2 papers). The work is most often cited by research in Condensed Matter Physics (216 citations), Numerical Analysis (73 citations), Statistical and Nonlinear Physics (77 citations), Biomedical Engineering (211 citations) and Computational Mechanics (95 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 The Journal of Chemical Physics, Mathematics and Computers in Simulation, Physica B Condensed Matter, Applied Physics Letters and Journal of Computational Physics.

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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