Nikolay Perunov

4 papers receiving 487 citations

Hit Papers

Dissipation Bounds All Steady-State Current Fluctuations20162026201920222016100200300400

Peers

Nikolay Perunov
Comparison fields: 5 of 52
  • Statistical and Nonlinear Physics 420
  • Atomic and Molecular Physics, and Optics 166
  • Cognitive Neuroscience 89
  • Civil and Structural Engineering 62
  • Materials Chemistry 58
Replace Matteo Polettini with:
Matteo Polettini Luxembourg
Shin-ichi Sasa Japan
Gianmaria Falasco Luxembourg
Ignacio A. Martínez Spain
Bram Wynants Belgium
Sosuke Ito Japan
David Andrieux Belgium
Patrick Pietzonka Germany
Dibyendu Mandal United States
David Hartich Germany
Nikolay Perunov relative to Matteo Polettini Luxembourg Matteo Polettini's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nikolay Perunov

Since Specialization
Citations

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

Fields of papers citing papers by Nikolay Perunov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolay Perunov

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Dissipation Bounds All Steady-State Current Fluctuationsbreakdown →
456
2 12
3 23
4 4
5 1
6
DESIGN OF THE PROJECT X CW LINAC
1

About Nikolay Perunov

Nikolay Perunov is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Aerospace Engineering, having authored 6 papers that have together received 497 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (2 papers), Particle accelerators and beam dynamics (2 papers) and Particle Accelerators and Free-Electron Lasers (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (420 citations), Atomic and Molecular Physics, and Optics (166 citations) and Physical and Theoretical Chemistry (43 citations). Nikolay Perunov has collaborated with scholars based in United States and Russia. Frequent co-authors include Jeremy L. England, Jordan M. Horowitz, Todd R. Gingrich, Robert Marsland, М. Р. Трунин, N.D. Kushch, Sergei Nagaitsev, В. М. Лебедев, N. Solyak and M. Champion. Their work appears in journals such as Physical Review Letters, Protein Science and Journal of Experimental and Theoretical Physics Letters.

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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