D. V. Lebedev

1.1k citations
64 papers · 624 · h-index 16

Impact in

Papers in

    • Nanopore and Nanochannel Transport Studies 10
    • Membrane-based Ion Separation Techniques 6
    • Microfluidic and Capillary Electrophoresis Applications 5
    • Algebraic structures and combinatorial models 17

D. V. Lebedev

58 papers receiving 585 citations

Peers

D. V. Lebedev
Comparison fields: 5 of 83
  • Geometry and Topology 257
  • Algebra and Number Theory 98
  • Statistical and Nonlinear Physics 225
  • Mathematical Physics 116
  • Discrete Mathematics and Combinatorics 34
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Citations per year

Countries citing papers authored by D. V. Lebedev

Since Specialization
Citations

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

Fields of papers citing papers by D. V. Lebedev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. V. Lebedev. 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 D. V. Lebedev. The network helps show where D. V. Lebedev may publish in the future.

Co-authors

The 25 scholars most cited alongside D. V. Lebedev, 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 D. V. Lebedev Line = papers co-authored together D. V. Lebedev links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199937
2 198835
3 200634
4 199532
5 200530
6 201730
7 200129
8 199228
9
200426
10 201924
11 201721
12 201719
13 201818
14 201217
15 200017
16 199716
17 199115
18 202115
19 199114
20 202213

About D. V. Lebedev

D. V. Lebedev is a scholar working on Biomedical Engineering, Geometry and Topology, Statistical and Nonlinear Physics, Materials Chemistry and Electrical and Electronic Engineering, having authored 64 papers that have together received 624 indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (17 papers), Nonlinear Waves and Solitons (16 papers), Nanopore and Nanochannel Transport Studies (10 papers), Fuel Cells and Related Materials (7 papers), Advanced Topics in Algebra (7 papers), Membrane-based Ion Separation Techniques (6 papers), Ion-surface interactions and analysis (6 papers) and Microfluidic and Capillary Electrophoresis Applications (5 papers). The work is most often cited by research in Geometry and Topology (257 citations), Algebra and Number Theory (98 citations), Statistical and Nonlinear Physics (225 citations), Mathematical Physics (116 citations) and Discrete Mathematics and Combinatorics (34 citations). D. V. Lebedev has collaborated with scholars based in Russia, Germany and United States. Frequent co-authors include S. Kharchev, A. Gerasimov, А. Морозов, Ilya I. Ryzhkov, М. М. Симунин, S. Pakuliak, S. Khoroshkin, А. А. Бухараев, А. В. Минаков and А. Миронов. Their work appears in journals such as Communications in Mathematical Physics, The Journal of Physical Chemistry Letters, International Journal of Modern Physics A, International Journal of Molecular Sciences and Physics Letters A.

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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