Dmitry Karpeyev

3.0k total citations
11 papers, 259 citations indexed

About

Dmitry Karpeyev is a scholar working on Computer Networks and Communications, Condensed Matter Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Dmitry Karpeyev has authored 11 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 3 papers in Condensed Matter Physics and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Dmitry Karpeyev's work include Physics of Superconductivity and Magnetism (3 papers), Atomic and Subatomic Physics Research (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Dmitry Karpeyev is often cited by papers focused on Physics of Superconductivity and Magnetism (3 papers), Atomic and Subatomic Physics Research (2 papers) and Parallel Computing and Optimization Techniques (2 papers). Dmitry Karpeyev collaborates with scholars based in United States, Argentina and Norway. Dmitry Karpeyev's co-authors include Andreas Glatz, Carolyn L. Phillips, Olle Heinonen, Devin O’Connor, M. J. Welland, Ivan Sadovskyy, A. E. Koshelev, Aaron S. Mansfield, Melanie C. Bois and Aliya N. Husain and has published in prestigious journals such as Nature Communications, ACS Nano and Journal of Computational Physics.

In The Last Decade

Dmitry Karpeyev

11 papers receiving 253 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dmitry Karpeyev United States 6 66 45 45 43 32 11 259
Michael Ortner Austria 9 41 0.6× 31 0.7× 108 2.4× 166 3.9× 14 0.4× 38 332
Mansoor Ali Khan Australia 10 36 0.5× 21 0.5× 90 2.0× 36 0.8× 76 2.4× 23 329
A. Nicolas France 11 12 0.2× 35 0.8× 129 2.9× 30 0.7× 44 1.4× 21 331
Haochuan Li China 10 26 0.4× 75 1.7× 106 2.4× 114 2.7× 55 1.7× 49 393
Thomas W. Rogers United Kingdom 14 33 0.5× 68 1.5× 13 0.3× 87 2.0× 25 0.8× 29 475
David W. Palmer United States 12 88 1.3× 27 0.6× 94 2.1× 256 6.0× 9 0.3× 30 474
Robert Bond United Kingdom 8 17 0.3× 16 0.4× 77 1.7× 31 0.7× 41 1.3× 25 234
L. B. W. Jolley United States 3 10 0.2× 22 0.5× 31 0.7× 56 1.3× 22 0.7× 3 383
Ashley G. Smart United States 7 19 0.3× 11 0.2× 23 0.5× 53 1.2× 45 1.4× 54 287
Satoshi Tomioka Japan 12 16 0.2× 7 0.2× 69 1.5× 103 2.4× 32 1.0× 64 347

Countries citing papers authored by Dmitry Karpeyev

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Karpeyev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmitry Karpeyev

This figure shows the co-authorship network connecting the top 25 collaborators of Dmitry Karpeyev. A scholar is included among the top collaborators of Dmitry Karpeyev based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dmitry Karpeyev. Dmitry Karpeyev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Dolezal, James M., Andrew Srisuwananukorn, Dmitry Karpeyev, et al.. (2022). Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology. Nature Communications. 13(1). 6572–6572. 75 indexed citations
2.
Dalcín, Lisandro, Lawrence Mitchell, Jed Brown, et al.. (2016). petsc4py: The Python interface to PETSc. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations
3.
Phillips, Carolyn L., Hanqi Guo, Tom Peterka, Dmitry Karpeyev, & Andreas Glatz. (2016). Tracking vortices in superconductors: Extracting singularities from a discretized complex scalar field evolving in time. Physical review. E. 93(2). 23305–23305. 2 indexed citations
4.
Smith, Barry, Satish Balay, Matthew G. Knepley, et al.. (2016). petsc: Portable, Extensible Toolkit for Scientific Computation. Zenodo (CERN European Organization for Nuclear Research). 1530–1539. 35 indexed citations
5.
Zapol, Peter, Dmitry Karpeyev, Ketan Maheshwari, et al.. (2015). Coupled molecular-dynamics and first-principle transport calculations of metal/oxide/metal heterostructures. Bulletin of the American Physical Society. 2015. 1 indexed citations
6.
Phillips, Carolyn L., Tom Peterka, Dmitry Karpeyev, & Andreas Glatz. (2015). Detecting vortices in superconductors: Extracting one-dimensional topological singularities from a discretized complex scalar field. Physical Review E. 91(2). 23311–23311. 11 indexed citations
7.
Heinonen, Olle, et al.. (2015). Influence of Elastic and Surface Strains on the Optical Properties of Semiconducting Core-Shell Nanoparticles. Physical Review Applied. 4(1). 5 indexed citations
8.
Welland, M. J., Dmitry Karpeyev, Devin O’Connor, & Olle Heinonen. (2015). Miscibility Gap Closure, Interface Morphology, and Phase Microstructure of 3D LixFePO4 Nanoparticles from Surface Wetting and Coherency Strain. ACS Nano. 9(10). 9757–9771. 50 indexed citations
9.
Maheshwari, Ketan, Justin M. Wozniak, Timothy G. Armstrong, et al.. (2015). Porting Ordinary Applications to Blue Gene/Q Supercomputers. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 128. 420–428. 1 indexed citations
10.
Sadovskyy, Ivan, A. E. Koshelev, Carolyn L. Phillips, Dmitry Karpeyev, & Andreas Glatz. (2015). Stable large-scale solver for Ginzburg–Landau equations for superconductors. Journal of Computational Physics. 294. 639–654. 61 indexed citations
11.
Guo, Hanqi, Carolyn L. Phillips, Tom Peterka, Dmitry Karpeyev, & Andreas Glatz. (2015). Extracting, Tracking, and Visualizing Magnetic Flux Vortices in 3D Complex-Valued Superconductor Simulation Data. IEEE Transactions on Visualization and Computer Graphics. 22(1). 827–836. 13 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael Ortner Breakdown of academic impact, for papers by Mansoor Ali Khan Breakdown of academic impact, for papers by A. Nicolas Breakdown of academic impact, for papers by Haochuan Li Breakdown of academic impact, for papers by Thomas W. Rogers Breakdown of academic impact, for papers by David W. Palmer Breakdown of academic impact, for papers by Robert Bond Breakdown of academic impact, for papers by L. B. W. Jolley Breakdown of academic impact, for papers by Ashley G. Smart Breakdown of academic impact, for papers by Satoshi Tomioka
Rankless by CCL
2026