Anton S. Buyskikh

20 total papers · 613 total citations
12 papers, 389 citations indexed

About

Anton S. Buyskikh is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Condensed Matter Physics. According to data from OpenAlex, Anton S. Buyskikh has authored 12 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 5 papers in Artificial Intelligence and 4 papers in Condensed Matter Physics. Recurrent topics in Anton S. Buyskikh's work include Quantum many-body systems (8 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Physics of Superconductivity and Magnetism (4 papers). Anton S. Buyskikh is often cited by papers focused on Quantum many-body systems (8 papers), Cold Atom Physics and Bose-Einstein Condensates (5 papers) and Physics of Superconductivity and Magnetism (4 papers). Anton S. Buyskikh collaborates with scholars based in United Kingdom, United States and France. Anton S. Buyskikh's co-authors include Andrew J. Daley, Johannes Schachenmayer, Fabian H. L. Eßler, Maurizio Fagotti, R. Blatt, Tillmann Baumgratz, Petar Jurcevic, Cornelius Hempel, B. P. Lanyon and C. F. Roos and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Nature Physics.

In The Last Decade

Anton S. Buyskikh

12 papers receiving 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Anton S. Buyskikh 341 206 71 67 24 12 389
Dimitris I. Tsomokos 348 1.0× 254 1.2× 38 0.5× 37 0.6× 14 0.6× 15 386
Daniel Jaschke 314 0.9× 173 0.8× 67 0.9× 96 1.4× 19 0.8× 20 374
Heather L. Partner 330 1.0× 76 0.4× 78 1.1× 82 1.2× 26 1.1× 12 377
Konstantin Tiurev 310 0.9× 77 0.4× 111 1.6× 25 0.4× 34 1.4× 12 375
Or Sharir 212 0.6× 165 0.8× 48 0.7× 57 0.9× 10 0.4× 11 339
Adrien Signoles 348 1.0× 193 0.9× 47 0.7× 54 0.8× 10 0.4× 11 396
Andrea Pizzi 328 1.0× 92 0.4× 48 0.7× 155 2.3× 15 0.6× 19 367
Arinjoy De 258 0.8× 237 1.2× 24 0.3× 37 0.6× 16 0.7× 13 362
Sarah Mostame 281 0.8× 179 0.9× 44 0.6× 46 0.7× 9 0.4× 15 333
A. Mastellone 375 1.1× 262 1.3× 118 1.7× 32 0.5× 23 1.0× 22 436

Countries citing papers authored by Anton S. Buyskikh

Since Specialization
Citations

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

Fields of papers citing papers by Anton S. Buyskikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anton S. Buyskikh. 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 Anton S. Buyskikh. The network helps show where Anton S. Buyskikh may publish in the future.

Co-authorship network of co-authors of Anton S. Buyskikh

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

All Works

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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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