Maxim A. Efremov

1.1k total citations
38 papers, 643 citations indexed

About

Maxim A. Efremov is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Maxim A. Efremov has authored 38 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Atomic and Molecular Physics, and Optics, 7 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Maxim A. Efremov's work include Cold Atom Physics and Bose-Einstein Condensates (22 papers), Quantum optics and atomic interactions (9 papers) and Quantum Mechanics and Applications (8 papers). Maxim A. Efremov is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (22 papers), Quantum optics and atomic interactions (9 papers) and Quantum Mechanics and Applications (8 papers). Maxim A. Efremov collaborates with scholars based in Germany, United States and Russia. Maxim A. Efremov's co-authors include М. В. Федоров, P. A. Volkov, J. H. Eberly, Wolfgang P. Schleich, C. K. Law, Kam Wai Clifford Chan, Alexey E. Kazakov, S. S. Straupe, S. P. Kulik and Ekaterina Moreva and has published in prestigious journals such as Physical Review Letters, Physical Review A and New Journal of Physics.

In The Last Decade

Maxim A. Efremov

35 papers receiving 625 citations

Peers

Maxim A. Efremov
Comparison fields: 5 of 41
  • Atomic and Molecular Physics, and Optics 588
  • Artificial Intelligence 290
  • Statistical and Nonlinear Physics 60
  • Electrical and Electronic Engineering 49
  • Acoustics and Ultrasonics 42
Replace Enno Giese with:
Enno Giese Germany
Eric L. Bolda United States
Nicola Bartolo France
Tobias Bothwell United States
Lushuai Cao China
Jeff Z. Salvail Canada
A. Perrin France
Xuzong Chen China
Daisuke Akamatsu Japan
Tudor A. Marian Romania
Enno Giese Germany View profile →
Citations per field, relative to Maxim A. Efremov
Maxim A. Efremov · 1×
Citations per year, relative to Maxim A. Efremov
Maxim A. Efremov · 1×

Countries citing papers authored by Maxim A. Efremov

Since Specialization
Citations

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

Fields of papers citing papers by Maxim A. Efremov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maxim A. Efremov. 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 Maxim A. Efremov. The network helps show where Maxim A. Efremov may publish in the future.

Co-authorship network of co-authors of Maxim A. Efremov

This figure shows the co-authorship network connecting the top 25 collaborators of Maxim A. Efremov. A scholar is included among the top collaborators of Maxim A. Efremov 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 Maxim A. Efremov. Maxim A. Efremov is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 6
4 1
5 18
6 4
7 2
8 9
9 21
10 1
11 6
12 8
13 46
14 28
15 9
16 1
17 66
18 50
19 37
20 7

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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2026