A. A. Romanyukha

764 total citations
41 papers, 497 citations indexed

About

A. A. Romanyukha is a scholar working on Modeling and Simulation, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, A. A. Romanyukha has authored 41 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Modeling and Simulation, 13 papers in Epidemiology and 11 papers in Public Health, Environmental and Occupational Health. Recurrent topics in A. A. Romanyukha's work include COVID-19 epidemiological studies (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Tuberculosis Research and Epidemiology (8 papers). A. A. Romanyukha is often cited by papers focused on COVID-19 epidemiological studies (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers) and Tuberculosis Research and Epidemiology (8 papers). A. A. Romanyukha collaborates with scholars based in Russia, United States and Germany. A. A. Romanyukha's co-authors include Gennady Bocharov, G. I. Marchuk, Anatoli I. Yashin, Igor A. Sidorov, Petrov Rv, Arseniy S. Karkach, Borisov Se, James R. Carey, Alexandra А. Melnichenko and A.I. Yashin and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Journal of Theoretical Biology and Numerische Mathematik.

In The Last Decade

A. A. Romanyukha

38 papers receiving 449 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. A. Romanyukha Russia 11 150 149 142 120 81 41 497
Amar Nath Chatterjee India 12 265 1.8× 37 0.2× 259 1.8× 42 0.3× 130 1.6× 40 426
Juan Liu China 14 75 0.5× 34 0.2× 289 2.0× 29 0.2× 43 0.5× 66 562
Muhammad Farhan Pakistan 12 195 1.3× 26 0.2× 210 1.5× 14 0.1× 57 0.7× 52 412
Cruz Vargas‐De‐León Mexico 16 696 4.6× 84 0.6× 862 6.1× 73 0.6× 104 1.3× 69 1.2k
Xiunan Wang China 13 168 1.1× 33 0.2× 279 2.0× 36 0.3× 68 0.8× 45 471
Liuyong Pang China 11 262 1.7× 41 0.3× 217 1.5× 12 0.1× 67 0.8× 28 385
Aimee R. Taylor United States 17 75 0.5× 85 0.6× 514 3.6× 68 0.6× 85 1.0× 25 718
Qianqian Cui China 12 227 1.5× 42 0.3× 177 1.2× 29 0.2× 309 3.8× 48 684
Necibe Tuncer United States 14 235 1.6× 76 0.5× 207 1.5× 12 0.1× 134 1.7× 39 481
Haiyan Tian China 12 70 0.5× 71 0.5× 18 0.1× 87 0.7× 72 0.9× 20 402

Countries citing papers authored by A. A. Romanyukha

Since Specialization
Citations

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

Fields of papers citing papers by A. A. Romanyukha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. A. Romanyukha

This figure shows the co-authorship network connecting the top 25 collaborators of A. A. Romanyukha. A scholar is included among the top collaborators of A. A. Romanyukha 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. A. Romanyukha. A. A. Romanyukha 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.
Romanyukha, A. A., et al.. (2023). The trade-off between COVID-19 and mental diseases burden during a lockdown: Mathematical modeling of control measures. Infectious Disease Modelling. 8(2). 403–414. 2 indexed citations
2.
Romanyukha, A. A., et al.. (2023). Identification of growing tuberculosis incidence clusters in a region with a decrease in tuberculosis prevalence in Moscow (2000-2019). Journal of Global Health. 13. 4052–4052. 2 indexed citations
3.
Romanyukha, A. A., et al.. (2023). Circulation of Respiratory Viruses in the City: Towards an Agent-Based Ecosystem model. Bulletin of Mathematical Biology. 85(10). 100–100. 1 indexed citations
4.
Romanyukha, A. A., et al.. (2023). Mathematical Model of COVID-19 Progression: Prediction of Severity and Outcome. Mathematical Models and Computer Simulations. 15(6). 987–998. 2 indexed citations
5.
Romanyukha, A. A., et al.. (2022). Mathematical modelling of the progression of active tuberculosis: Insights from fluorography data. Infectious Disease Modelling. 7(3). 374–386. 5 indexed citations
6.
Ev, Karamov, et al.. (2022). Agent-Based Simulation of the COVID-19 Epidemic in Russia. Herald of the Russian Academy of Sciences. 92(4). 479–487. 7 indexed citations
7.
Romanyukha, A. A., et al.. (2020). Transmission of Acute Respiratory Infections in a City: Agent-Based Approach. Mathematical Biology and Bioinformatics. 15(2). 338–356. 8 indexed citations
8.
Romanyukha, A. A., et al.. (2019). Comparison Of Modeling Schemes for Natural Course Of Pulmonary Tuberculosis. Mathematical Biology and Bioinformatics. 14(2). 570–587. 3 indexed citations
9.
Romanyukha, A. A., et al.. (2019). Small-scale stable clusters of elevated tuberculosis incidence in Moscow, 2000–2015: Discovery and spatiotemporal analysis. International Journal of Infectious Diseases. 91. 156–161. 5 indexed citations
10.
Romanyukha, A. A., et al.. (2018). Modeling of Gender Differences in Tuberculosis Prevalence. Mathematical Biology and Bioinformatics. 13(2). 308–321. 3 indexed citations
11.
Romanyukha, A. A., et al.. (2012). Modeling spread of HIV as a result of social maladjustment. Automation and Remote Control. 73(12). 2071–2082. 1 indexed citations
12.
Marchuk, G. I. & A. A. Romanyukha. (2010). Mathematical modelling and the homeostatic function of the immune system. Russian Journal of Numerical Analysis and Mathematical Modelling. 25(6).
13.
Romanyukha, A. A., et al.. (2007). Mathematical modeling of tuberculosis propagation and patient detection. Automation and Remote Control. 68(9). 1604–1617. 14 indexed citations
14.
Romanyukha, A. A., et al.. (2005). Energy cost of infection burden: An approach to understanding the dynamics of host–pathogen interactions. Journal of Theoretical Biology. 241(1). 1–13. 38 indexed citations
15.
Romanyukha, A. A., et al.. (2004). Immune system aging may be affected by HIV infection: the mathematical model of immunosenescence. Russian Journal of Numerical Analysis and Mathematical Modelling. 19(4). 315–329. 3 indexed citations
16.
Romanyukha, A. A., et al.. (1995). CLINICAL DATA ANALYSIS AND MATHEMATICAL MODELING OF MIXED INFECTIONS. Journal of Biological Systems. 3(2). 389–396. 1 indexed citations
17.
Romanyukha, A. A., et al.. (1995). MATHEMATICAL MODELING OF IMMUNE-INFLAMMATORY REACTION IN ACUTE PNEUMONIA. Journal of Biological Systems. 3(2). 429–439. 5 indexed citations
18.
Sidorov, Igor A. & A. A. Romanyukha. (1993). Mathematical modeling of T-cell proliferation. Mathematical Biosciences. 115(2). 187–232. 8 indexed citations
19.
Marchuk, G. I., Petrov Rv, A. A. Romanyukha, & Gennady Bocharov. (1991). Mathematical model of antiviral immune response. I. Data analysis, generalized picture construction and parameters evaluation for hepatitis B. Journal of Theoretical Biology. 151(1). 1–40. 63 indexed citations
20.
Marchuk, G. I., A. A. Romanyukha, & Gennady Bocharov. (1991). Mathematical model of antiviral immune response. II. Parameters identification for acute viral hepatitis B. Journal of Theoretical Biology. 151(1). 41–69. 29 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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