N. Chernov

5.4k total citations
102 papers, 3.1k citations indexed

About

N. Chernov is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, N. Chernov has authored 102 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Mathematical Physics, 52 papers in Statistical and Nonlinear Physics and 18 papers in Computer Vision and Pattern Recognition. Recurrent topics in N. Chernov's work include Mathematical Dynamics and Fractals (52 papers), Quantum chaos and dynamical systems (42 papers) and Image and Object Detection Techniques (17 papers). N. Chernov is often cited by papers focused on Mathematical Dynamics and Fractals (52 papers), Quantum chaos and dynamical systems (42 papers) and Image and Object Detection Techniques (17 papers). N. Chernov collaborates with scholars based in United States, Russia and Uruguay. N. Chernov's co-authors include Roberto Markarian, Yakov G. Sinai, Leonid Bunimovich, Joel L. Lebowitz, Hong-Kun Zhang, Ya. G. Sinaǐ, Dmitry Kleinbock, Yu. G. Stoyan, Т. Romanova and Gregory L. Eyink and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Computer Physics Communications.

In The Last Decade

N. Chernov

99 papers receiving 2.8k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
N. Chernov United States 29 1.6k 1.5k 487 279 217 102 3.1k
Ian Melbourne United Kingdom 30 1.9k 1.2× 1.0k 0.7× 193 0.4× 139 0.5× 1.1k 4.9× 106 3.3k
Andrzej Lasota Poland 24 1.2k 0.8× 1.1k 0.7× 207 0.4× 120 0.4× 390 1.8× 97 3.3k
Rudolf Gorenflo Germany 36 1.3k 0.8× 1.1k 0.7× 80 0.2× 150 0.5× 157 0.7× 110 7.2k
Chris Budd United Kingdom 30 1.5k 0.9× 403 0.3× 105 0.2× 58 0.2× 755 3.5× 138 4.4k
Jack Xin United States 28 365 0.2× 414 0.3× 581 1.2× 73 0.3× 393 1.8× 162 3.1k
Zhaojun Bai United States 31 1.2k 0.7× 114 0.1× 176 0.4× 237 0.8× 250 1.2× 117 4.2k
Jean‐Michel Coron France 44 995 0.6× 2.3k 1.5× 121 0.2× 43 0.2× 450 2.1× 154 7.3k
Pierre Rouchon France 39 814 0.5× 304 0.2× 778 1.6× 20 0.1× 361 1.7× 193 7.3k
Velimir Jurdjevic Canada 17 502 0.3× 354 0.2× 206 0.4× 35 0.1× 145 0.7× 37 2.6k
Helena E. Nusse United States 23 1.8k 1.1× 512 0.3× 73 0.1× 144 0.5× 862 4.0× 50 2.6k

Countries citing papers authored by N. Chernov

Since Specialization
Citations

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

Fields of papers citing papers by N. Chernov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Chernov

This figure shows the co-authorship network connecting the top 25 collaborators of N. Chernov. A scholar is included among the top collaborators of N. Chernov 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 N. Chernov. N. Chernov 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
1.
Stoyan, Yu. G., Alexander Pankratov, Т. Romanova, & N. Chernov. (2016). Квазi-phi-функцiї для математичного моделювання вiдносин геометричних об’єктiв. SHILAP Revista de lepidopterología. 49–54. 1 indexed citations
2.
Chernov, N. & Sudanthi Wijewickrema. (2013). Algorithms for projecting points onto conics. Journal of Computational and Applied Mathematics. 251. 8–21. 15 indexed citations
3.
Chernov, N., Yu. G. Stoyan, & Т. Romanova. (2010). Mathematical model and efficient algorithms for object packing problem. Computational Geometry. 43(5). 535–553. 90 indexed citations
4.
Chernov, N.. (2009). Fitting circles to scattered data: parameter estimates have no moments. Metrika. 73(3). 373–384. 10 indexed citations
5.
Chernov, N., et al.. (2009). Аномальный ток в периодических газах Лоренца с бесконечным горизонтом. Успехи математических наук. 64(4). 73–124. 2 indexed citations
6.
Chernov, N. & Dmitry Dolgopyat. (2007). Diffusive Motion and Recurrence on an Idealized Galton Board. Physical Review Letters. 99(3). 30601–30601. 16 indexed citations
7.
Chernov, N., et al.. (2006). Recent advances in differential equations and mathematical physics : UAB International Conference on Differential Equations and Mathematical Physics, March 29-April 2, 2005, University of Alabama at Birmingham. American Mathematical Society eBooks. 2 indexed citations
8.
Chernov, N. & Roberto Markarian. (2006). Chaotic Billiards. Mathematical surveys and monographs. 188 indexed citations
9.
Chernov, N.. (2006). Advanced Statistical Properties of Dispersing Billiards. Journal of Statistical Physics. 122(6). 1061–1094. 46 indexed citations
10.
Chernov, N.. (2006). On the Convergence of Fitting Algorithms in Computer Vision. Journal of Mathematical Imaging and Vision. 27(3). 231–239. 12 indexed citations
11.
DeLucas, Lawrence J., et al.. (2004). Protein crystallization: virtual screening and optimization. Progress in Biophysics and Molecular Biology. 88(3). 285–309. 30 indexed citations
12.
Chernov, N., et al.. (2004). On the complexity of curve fitting algorithms. Journal of Complexity. 20(4). 484–492. 16 indexed citations
13.
DeLucas, Lawrence J., et al.. (2003). Efficient protein crystallization. Journal of Structural Biology. 142(1). 188–206. 46 indexed citations
14.
Chernov, N.. (1999). Decay of Correlations and Dispersing Billiards. Journal of Statistical Physics. 94(3). 513–556. 92 indexed citations
15.
Chernov, N., Е. А. Колганова, & G. Ososkov. (1999). Robust methods for RICH ring recognition and particle identification. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 433(1-2). 274–278. 3 indexed citations
16.
Bonetto, Federico, N. Chernov, & Joel L. Lebowitz. (1998). (Global and local) fluctuations of phase space contraction in deterministic stationary nonequilibrium. Chaos An Interdisciplinary Journal of Nonlinear Science. 8(4). 823–833. 25 indexed citations
17.
Chernov, N.. (1997). Entropy, Lyapunov exponents, and mean free path for billiards. Journal of Statistical Physics. 88(1-2). 1–29. 75 indexed citations
18.
Gordeliy, Valentin & N. Chernov. (1997). Accuracy of Determination of Position and Width of Molecular Groups in Biological and Lipid MembranesviaNeutron Diffraction. Acta Crystallographica Section D Biological Crystallography. 53(4). 377–384. 17 indexed citations
19.
Chernov, N.. (1991). New proof of Sinai's formula for the entropy of hyperbolic billiard systems. Application to Lorentz gases and Bunimovich stadiums. Functional Analysis and Its Applications. 25(3). 204–219. 37 indexed citations
20.
Chernov, N.. (1982). Structure of transversal leaves in multidimensional semidispersing billiards. Functional Analysis and Its Applications. 16(4). 270–280. 7 indexed citations

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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