Oleg Zaboronski

539 total citations
37 papers, 322 citations indexed

About

Oleg Zaboronski is a scholar working on Mathematical Physics, Condensed Matter Physics and Water Science and Technology. According to data from OpenAlex, Oleg Zaboronski has authored 37 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Mathematical Physics, 16 papers in Condensed Matter Physics and 9 papers in Water Science and Technology. Recurrent topics in Oleg Zaboronski's work include Stochastic processes and statistical mechanics (20 papers), Theoretical and Computational Physics (16 papers) and Coagulation and Flocculation Studies (9 papers). Oleg Zaboronski is often cited by papers focused on Stochastic processes and statistical mechanics (20 papers), Theoretical and Computational Physics (16 papers) and Coagulation and Flocculation Studies (9 papers). Oleg Zaboronski collaborates with scholars based in United Kingdom, India and United States. Oleg Zaboronski's co-authors include R. Rajesh, Colm Connaughton, Roger Tribe, Supriya Krishnamurthy, R. C. Ball, Sergey Nazarenko, Freddy Bouchet, Thorwald H. M. Stein, Jean-Philippe Laval and B. Dubrulle and has published in prestigious journals such as Physical Review Letters, Journal of Applied Physics and Journal of Fluid Mechanics.

In The Last Decade

Oleg Zaboronski

36 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oleg Zaboronski United Kingdom 11 145 120 60 59 57 37 322
Tobias Grafke United Kingdom 9 14 0.1× 29 0.2× 14 0.2× 1 0.0× 84 1.5× 23 239
Valerii I. Klyatskin Russia 13 26 0.2× 40 0.3× 2 0.0× 2 0.0× 107 1.9× 20 350
D. D. Sokolov Russia 9 29 0.2× 35 0.3× 9 0.1× 53 0.9× 44 291
Michal Hnatič Slovakia 12 40 0.3× 122 1.0× 2 0.0× 1 0.0× 85 1.5× 74 438
J. Messer Germany 8 32 0.2× 27 0.2× 12 0.2× 181 3.2× 24 272
Ė. V. Ivashkevich Russia 10 158 1.1× 299 2.5× 32 0.5× 25 0.4× 13 344
Theodore D. Drivas United States 14 72 0.5× 14 0.1× 4 0.1× 1 0.0× 58 1.0× 38 452
A. G. Bashkirov Russia 11 5 0.0× 21 0.2× 18 0.3× 2 0.0× 252 4.4× 37 364
Romain Abraham France 12 188 1.3× 59 0.5× 81 1.4× 1 0.0× 10 0.2× 43 319
R Phythian United Kingdom 8 15 0.1× 56 0.5× 3 0.1× 145 2.5× 14 334

Countries citing papers authored by Oleg Zaboronski

Since Specialization
Citations

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

Fields of papers citing papers by Oleg Zaboronski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oleg Zaboronski

This figure shows the co-authorship network connecting the top 25 collaborators of Oleg Zaboronski. A scholar is included among the top collaborators of Oleg Zaboronski 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 Oleg Zaboronski. Oleg Zaboronski 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.
Rajesh, R., et al.. (2023). A Monte Carlo algorithm to measure probabilities of rare events in cluster-cluster aggregation. Computer Physics Communications. 288. 108727–108727. 4 indexed citations
2.
Bouchet, Freddy, Roger Tribe, & Oleg Zaboronski. (2023). Sample-path large deviations for stochastic evolutions driven by the square of a Gaussian process. Physical review. E. 107(3). 34111–34111. 3 indexed citations
3.
Tribe, Roger & Oleg Zaboronski. (2020). Sharp asymptotics for Fredholm Pfaffians related to interacting particle systems and random matrices. Sussex Research Online (University of Sussex). 4 indexed citations
4.
Connaughton, Colm, et al.. (2018). Stationary mass distribution and nonlocality in models of coalescence and shattering. Physical review. E. 97(2). 22137–22137. 13 indexed citations
5.
Connaughton, Colm, et al.. (2017). Universality properties of steady driven coagulation with collisional evaporation. Europhysics Letters (EPL). 117(1). 10002–10002. 9 indexed citations
6.
Tribe, Roger, et al.. (2017). On the distribution of the largest real eigenvalue for the real Ginibre ensemble. The Annals of Applied Probability. 27(3). 10 indexed citations
7.
Tribe, Roger & Oleg Zaboronski. (2014). The Ginibre evolution in the large-N limit. Journal of Mathematical Physics. 55(6). 6 indexed citations
8.
Tribe, Roger, et al.. (2012). One dimensional annihilating and coalescing particle systems as extended Pfaffian point processes. Warwick Research Archive Portal (University of Warwick).
9.
Ball, R. C., et al.. (2012). Collective Oscillations in Irreversible Coagulation Driven by Monomer Inputs and Large-Cluster Outputs. Physical Review Letters. 109(16). 168304–168304. 29 indexed citations
10.
Tribe, Roger & Oleg Zaboronski. (2011). Pfaffian Formulae for One Dimensional Coalescing and Annihilating Systems. Electronic Journal of Probability. 16(none). 25 indexed citations
11.
Honschoten, J.W. van, et al.. (2011). Information storage and retrieval for probe storage using optical diffraction patterns. Journal of Applied Physics. 110(10). 2 indexed citations
12.
Parnell, Thomas, Haralampos Pozidis, & Oleg Zaboronski. (2008). Forward Message Passing Detector for Probe Storage. 1967–1971. 1 indexed citations
13.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2008). Constant flux relation for diffusion-limited cluster-cluster aggregation. Physical Review E. 78(4). 41403–41403. 8 indexed citations
14.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2007). Constant flux relation for aggregation models with desorption and fragmentation. Physica A Statistical Mechanics and its Applications. 384(1). 108–114. 5 indexed citations
15.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2007). Constant Flux Relation for Driven Dissipative Systems. Physical Review Letters. 98(8). 80601–80601. 10 indexed citations
16.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2005). Breakdown of Kolmogorov Scaling in Models of Cluster Aggregation. Physical Review Letters. 94(19). 194503–194503. 20 indexed citations
17.
Connaughton, Colm, R. Rajesh, & Oleg Zaboronski. (2004). Stationary Kolmogorov solutions of the Smoluchowski aggregation equation with a source term. Physical Review E. 69(6). 61114–61114. 32 indexed citations
18.
Dubrulle, B., Jean-Philippe Laval, Sergey Nazarenko, & Oleg Zaboronski. (2004). A model for rapid stochastic distortions of small-scale turbulence. Journal of Fluid Mechanics. 520. 1–21. 17 indexed citations
19.
Nazarenko, Sergey, R. G. West, & Oleg Zaboronski. (2003). Fourier space intermittency of the small-scale turbulent dynamo. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(2). 26311–26311. 5 indexed citations
20.
Krishnamurthy, Supriya, R. Rajesh, & Oleg Zaboronski. (2002). Kang-Redner small-mass anomaly in cluster-cluster aggregation. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 66(6). 66118–66118. 11 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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