Dmitry Bagrets

1.7k citations
33 papers · 1.1k · h-index 16

Impact in

Papers in

Dmitry Bagrets

32 papers receiving 1.1k citations

Peers

Dmitry Bagrets
Comparison fields: 5 of 34
  • Condensed Matter Physics 381
  • Atomic and Molecular Physics, and Optics 883
  • Statistical and Nonlinear Physics 256
  • Nuclear and High Energy Physics 257
  • Computational Mathematics 9
Replace Shao-Kai Jian with:
Shao-Kai Jian United States
Michael Pretko United States
M. J. Bhaseen United Kingdom
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G. Lozano Argentina
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William Witczak‐Krempa Canada
Nicolò Defenu Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Dmitry Bagrets

Since Specialization
Citations

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

Fields of papers citing papers by Dmitry Bagrets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Dmitry Bagrets, 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 Bagrets Line = papers co-authored together Dmitry Bagrets links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012208
2 2016175
3 2017124
4 201471
5 201852
6 201550
7 201548
8 201644
9 201135
10 201934
11 202134
12 201733
13 201927
14 201024
15 201117
16 200815
17 201315
18 200914
19 200411
20 201211

About Dmitry Bagrets

Dmitry Bagrets is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Artificial Intelligence, Materials Chemistry and Statistical and Nonlinear Physics, having authored 33 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (19 papers), Topological Materials and Phenomena (13 papers), Quantum many-body systems (13 papers), Physics of Superconductivity and Magnetism (9 papers), Advanced Condensed Matter Physics (5 papers), Quantum Information and Cryptography (5 papers), Quantum Computing Algorithms and Architecture (5 papers) and Graphene research and applications (5 papers). The work is most often cited by research in Condensed Matter Physics (381 citations), Atomic and Molecular Physics, and Optics (883 citations), Statistical and Nonlinear Physics (256 citations), Nuclear and High Energy Physics (257 citations) and Computational Mathematics (9 citations). Dmitry Bagrets has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Alexander Altland, Alex Kamenev, A. D. Mirlin, Lars Fritz, Peter Schmitteckert, Sam T. Carr, D. G. Polyakov, I. V. Gornyi, Reinhold Egger and Julian Sonner. Their work appears in journals such as Physical Review B, Physical Review Letters, Nuclear Physics B, Physical Review Research 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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