A. V. Rusakov

408 total citations
58 papers, 292 citations indexed

About

A. V. Rusakov is a scholar working on Radiation, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, A. V. Rusakov has authored 58 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiation, 17 papers in Nuclear and High Energy Physics and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in A. V. Rusakov's work include Nuclear Physics and Applications (17 papers), Radiation Detection and Scintillator Technologies (12 papers) and Nuclear physics research studies (9 papers). A. V. Rusakov is often cited by papers focused on Nuclear Physics and Applications (17 papers), Radiation Detection and Scintillator Technologies (12 papers) and Nuclear physics research studies (9 papers). A. V. Rusakov collaborates with scholars based in Russia, Belarus and Germany. A. V. Rusakov's co-authors include Alexander B. Medvinsky, Б. В. Адамович, A. Lapik, Amit Chakraborty, V. Nedorezov, Alexander V. Panfilov, К.А. Иванов, A. Turinge, R. V. Volkov and A. V. Brantov and has published in prestigious journals such as Scientific Reports, Ecological Indicators and Physics of Plasmas.

In The Last Decade

A. V. Rusakov

50 papers receiving 281 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. V. Rusakov Russia	9	84	64	40	39	35	58	292
Santiago Benavides United States	7	119 1.4×	31 0.5×	10 0.3×	4 0.1×	82 2.3×	14	284
Baoxi Han United States	13	227 2.7×	63 1.0×	11 0.3×	5 0.1×	51 1.5×	69	510
Yusuke Yamashita Japan	13	123 1.5×	33 0.5×	27 0.7×	1 0.0×	36 1.0×	67	657
R.W. Bland United States	15	250 3.0×	31 0.5×	41 1.0×	5 0.1×	73 2.1×	38	445
M. T. Hartman United States	9	24 0.3×	4 0.1×	59 1.5×	6 0.2×	53 1.5×	30	301
Luís Galán Spain	9	7 0.1×	27 0.4×	20 0.5×	2 0.1×	75 2.1×	23	418
Masao Ishikawa Japan	10	110 1.3×	37 0.6×	98 2.5×		14 0.4×	57	316
B. Karp Israel	9	145 1.7×	31 0.5×	8 0.2×		70 2.0×	23	351
Giancarlo Raiteri Italy	9	152 1.8×	9 0.1×	70 1.8×	2 0.1×	115 3.3×	33	415
Peng Luo China	10	79 0.9×	47 0.7×	20 0.5×	1 0.0×	29 0.8×	45	494

Countries citing papers authored by A. V. Rusakov

Since Specialization

Citations

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

Fields of papers citing papers by A. V. Rusakov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. V. Rusakov

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

All Works

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20 of 20 papers shown

Адамович, Б. В., et al.. (2025). Production Capacity of Phytoplankton Under Different Trophic Conditions in the Naroch Lakes, Belarus. Environmental Processes. 12(2).

Lapik, A., С. С. Белышев, В.В. Варламов, et al.. (2024). The Energy and Angular Distributions of Neutrons from (γ, N)-Reactions on γ-Beams Produced by Backward Compton Scattering at Eγ ≲ 40 MeV. Bulletin of the Russian Academy of Sciences Physics. 88(8). 1191–1197.

Medvinsky, Alexander B., et al.. (2023). Direct input of monitoring data into a mechanistic ecological model as a way to identify the phytoplankton growth-rate response to temperature variations. Scientific Reports. 13(1). 10124–10124. 3 indexed citations

Белышев, С. С., В.В. Варламов, А. А. Кузнецов, et al.. (2023). On Monitoring on the Under-Development $${\gamma}$$ Source Based on Backward Compton Scattering for Photonuclear Research at $$\boldsymbol{E}_{{\gamma}}\boldsymbol{\leq 40}$$ MeV. Moscow University Physics Bulletin. 78(3). 278–283. 1 indexed citations

Rusakov, A. V., et al.. (2022). Phase synchronization of chlorophyll and total phosphorus oscillations as an indicator of the transformation of a lake ecosystem. Scientific Reports. 12(1). 11979–11979. 5 indexed citations

Rusakov, A. V., et al.. (2021). Emergence of Self-Organized Dynamical Domains in a Ring of Coupled Population Oscillators. Mathematics. 9(6). 601–601. 1 indexed citations

Medvinsky, Alexander B., et al.. (2019). Population Dynamics: Mathematical Modeling and Reality. BIOPHYSICS. 64(6). 956–977. 8 indexed citations

Иванов, К.А., A. Lapik, A. V. Rusakov, et al.. (2018). Measurement of Femtosecond Laser Plasma X-ray Spectra Using a Medipix Detector. Physics of Particles and Nuclei. 49(4). 581–584. 1 indexed citations

Адамович, Б. В., et al.. (2018). Relations between variations in the lake bacterioplankton abundance and the lake trophic state: Evidence from the 20-year monitoring. Ecological Indicators. 97. 120–129. 31 indexed citations

10.

Medvinsky, Alexander B., et al.. (2017). Deterministic chaоs and the problem of predictability in population dynamics. BIOPHYSICS. 62(1). 92–108. 6 indexed citations

11.

Medvinsky, Alexander B., et al.. (2015). Modelling aquatic communities: Trophic interactions and the body mass-and-age structure of fish populations give rise to long-period variations in fish population size. Russian Journal of Numerical Analysis and Mathematical Modelling. 30(1). 6 indexed citations

12.

Иванов, К.А., A. V. Rusakov, A. Turinge, et al.. (2014). Novel photonuclear techniques based on femtosecond lasers. Physics of Particles and Nuclei Letters. 11(1). 54–59. 4 indexed citations

13.

Medvinsky, Alexander B., et al.. (2012). Integer-based modeling of population dynamics: Competition between attractors limits predictability. Ecological Complexity. 14. 108–116. 6 indexed citations

14.

Lapik, A., et al.. (2011). Applying the photonuclear technique to fissile materials detection. Bulletin of the Russian Academy of Sciences Physics. 75(11). 1544–1548. 5 indexed citations

15.

Medvinsky, Alexander B., et al.. (2010). A mathematical model of the invasion of mysid (Mysidacea) into Narochan Lakes. BIOPHYSICS. 55(6). 1030–1037. 1 indexed citations

16.

Rusakov, A. V., et al.. (2009). Dynamics of Bt-crop biomass upon invasion of a Bt-resistant insect pest: A mathematical model. BIOPHYSICS. 54(4). 536–542. 2 indexed citations

17.

Rusakov, A. V., et al.. (2009). [Research of the Bt crop biomass dynamics upon the invasion of Bt-resistant pests. A mathematical model].. PubMed. 54(4). 733–41. 1 indexed citations

18.

Gurevich, G. M., P.D. Eversheim, V. V. Golovko, et al.. (2008). The effect of metallic environment and low temperature on the 253Es α decay rate. Bulletin of the Russian Academy of Sciences Physics. 72(3). 315–318. 2 indexed citations

19.

Rusakov, A. V., et al.. (2005). Scroll waves meandering in a model of an excitable medium. Physical Review E. 72(2). 22902–22902. 14 indexed citations

20.

Rusakov, A. V., et al.. (1977). Distribution of mechanical properties and the relationship between them. Strength of Materials. 9(12). 1494–1498. 2 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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