D. V. Lebedev
Impact in
- Geometry and Topology top 2%
- Algebraic structures and combinatorial models
- Algebra and Number Theory top 10%
- Advanced Topics in Algebra
Papers in
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- Nanopore and Nanochannel Transport Studies 10
- Membrane-based Ion Separation Techniques 6
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- Algebraic structures and combinatorial models 18
- Co-authors
- S. Kharchev (6 shared papers)A. Gerasimov (6 shared papers)А. Морозов (3 shared papers)Ilya I. Ryzhkov (10 shared papers)S. Pakuliak (9 shared papers)М. М. Симунин (8 shared papers)S. Khoroshkin (4 shared papers)А. А. Бухараев (6 shared papers)
In The Last Decade
D. V. Lebedev
62 papers receiving 627 citations
Peers
Comparison fields: 5 of 83
- Geometry and Topology 276
- Algebra and Number Theory 110
- Statistical and Nonlinear Physics 242
- Mathematical Physics 133
- Discrete Mathematics and Combinatorics 37
Countries citing papers authored by D. V. Lebedev
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
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.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 39 | |
| 2 | 2006 | 35 | |
| 3 | 1988 | 35 | |
| 4 | 1995 | 34 | |
| 5 | 2001 | 32 | |
| 6 | 2005 | 31 | |
| 7 | 2017 | 30 | |
| 8 | 2004 | 29 | |
| 9 | 1992 | 28 | |
| 10 | 2019 | 24 | |
| 11 | 2017 | 21 | |
| 12 | 2000 | 20 | |
| 13 | 2018 | 19 | |
| 14 | 2017 | 19 | |
| 15 | 2012 | 17 | |
| 16 | 1997 | 17 | |
| 17 | 1991 | 17 | |
| 18 | 2021 | 16 | |
| 19 | 1991 | 15 | |
| 20 | 2022 | 15 |
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 66 papers that have together received 669 indexed citations. Recurring topics across this work include Algebraic structures and combinatorial models (18 papers), Nonlinear Waves and Solitons (17 papers), Nanopore and Nanochannel Transport Studies (10 papers), Advanced Topics in Algebra (8 papers), Fuel Cells and Related Materials (7 papers), Ion-surface interactions and analysis (6 papers), Advanced Algebra and Geometry (6 papers) and Membrane-based Ion Separation Techniques (6 papers). The work is most often cited by research in Geometry and Topology (276 citations), Algebra and Number Theory (110 citations), Statistical and Nonlinear Physics (242 citations), Mathematical Physics (133 citations) and Discrete Mathematics and Combinatorics (37 citations). D. V. Lebedev has collaborated with scholars based in Russia, Germany and Italy. Frequent co-authors include S. Kharchev, A. Gerasimov, А. Морозов, Ilya I. Ryzhkov, S. Pakuliak, М. М. Симунин, S. Khoroshkin, А. А. Бухараев, А. Миронов and А. В. Минаков. Their work appears in journals such as Communications in Mathematical Physics, The Journal of Physical Chemistry Letters, Letters in Mathematical Physics, Physics Letters A and International Journal of Molecular Sciences.
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.