Olga Vasilieva

580 total citations
48 papers, 419 citations indexed

About

Olga Vasilieva is a scholar working on Public Health, Environmental and Occupational Health, Insect Science and Economics and Econometrics. According to data from OpenAlex, Olga Vasilieva has authored 48 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Public Health, Environmental and Occupational Health, 14 papers in Insect Science and 9 papers in Economics and Econometrics. Recurrent topics in Olga Vasilieva's work include Mosquito-borne diseases and control (20 papers), Insect symbiosis and bacterial influences (14 papers) and COVID-19 epidemiological studies (9 papers). Olga Vasilieva is often cited by papers focused on Mosquito-borne diseases and control (20 papers), Insect symbiosis and bacterial influences (14 papers) and COVID-19 epidemiological studies (9 papers). Olga Vasilieva collaborates with scholars based in Colombia, Japan and Russia. Olga Vasilieva's co-authors include Mikhail Svinin, Yves Dumont, Pierre‐Alexandre Bliman, Héctor J. Martínez, Sunmi ‍Lee, K. Mizukami, Gerard Olivar, А. С. Антипин, Takeshi Hoshida and Yasuhiko Aoki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Theoretical Biology and Ecological Modelling.

In The Last Decade

Olga Vasilieva

43 papers receiving 402 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Vasilieva Colombia 11 290 174 78 42 34 48 419
Prashanth Selvaraj United States 12 195 0.7× 50 0.3× 70 0.9× 11 0.3× 87 2.6× 30 482
Frank T. Ndjomatchoua Cameroon 10 66 0.2× 59 0.3× 43 0.6× 15 0.4× 48 1.4× 29 275
Ling Xue China 12 218 0.8× 119 0.7× 74 0.9× 27 0.6× 124 3.6× 27 346
Mohamed Khaladi France 11 109 0.4× 17 0.1× 46 0.6× 63 1.5× 14 0.4× 27 244
Shangbing Ai United States 13 387 1.3× 175 1.0× 153 2.0× 162 3.9× 10 0.3× 33 564
Joseph D. Challenger United Kingdom 12 184 0.6× 21 0.1× 38 0.5× 30 0.7× 46 1.4× 20 365
Daniela Cianci Netherlands 9 210 0.7× 88 0.5× 14 0.2× 12 0.3× 79 2.3× 14 306
Hui Wan China 11 249 0.9× 24 0.1× 182 2.3× 128 3.0× 41 1.2× 22 313
Muhammad Farhan Pakistan 12 210 0.7× 28 0.2× 195 2.5× 42 1.0× 57 1.7× 52 412
Richard O. J. H. Stutt United Kingdom 9 61 0.2× 30 0.2× 146 1.9× 34 0.8× 64 1.9× 12 450

Countries citing papers authored by Olga Vasilieva

Since Specialization
Citations

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

Fields of papers citing papers by Olga Vasilieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Vasilieva

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Vasilieva. A scholar is included among the top collaborators of Olga Vasilieva 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 Olga Vasilieva. Olga Vasilieva 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.
Florentino, Helenice de Oliveira, et al.. (2024). Optimization approaches to Wolbachia-based biocontrol. Applied Mathematical Modelling. 137. 115663–115663.
2.
Ferreira, Cláudia Pio, et al.. (2024). Comparing the long-term persistence of different Wolbachia strains after the release of bacteria-carrying mosquitoes. Mathematical Biosciences. 372. 109190–109190. 1 indexed citations
3.
Bliman, Pierre‐Alexandre, et al.. (2023). Sex-structured model of Wolbachia invasion and design of sex-biased release strategies in Aedes spp mosquitoes populations. Applied Mathematical Modelling. 119. 391–412. 3 indexed citations
4.
Vasilieva, Olga, et al.. (2023). Optimal Control of a Two-Patch Dengue Epidemic under Limited Resources. Mathematics. 11(18). 3921–3921. 3 indexed citations
5.
Vasilieva, Olga, et al.. (2022). A synthesized model of tuberculosis transmission featuring treatment abandonment. Mathematical Biosciences & Engineering. 19(11). 10882–10914. 1 indexed citations
6.
Martínez, Héctor J., et al.. (2020). Biological and Chemical Control of Mosquito Population by Optimal Control Approach. Games. 11(4). 62–62. 10 indexed citations
7.
Vasilieva, Olga, et al.. (2020). Optimal control of dengue epidemic outbreaks under limited resources. Studies in Applied Mathematics. 144(2). 185–212. 25 indexed citations
8.
Vasilieva, Olga, et al.. (2020). A simplified monotone model of Wolbachia invasion encompassing Aedes aegypti mosquitoes. Studies in Applied Mathematics. 146(3). 565–585. 5 indexed citations
9.
Vasilieva, Olga, et al.. (2020). Wolbachia-based biocontrol for dengue reduction using dynamic optimization approach. Applied Mathematical Modelling. 82. 125–149. 17 indexed citations
10.
Bliman, Pierre‐Alexandre, et al.. (2019). Implementation of control strategies for sterile insect techniques. Mathematical Biosciences. 314. 43–60. 48 indexed citations
11.
Vasilieva, Olga, et al.. (2019). Optimal Strategies for Dengue Prevention and Control during Daily Commuting between Two Residential Areas. Processes. 7(4). 197–197. 12 indexed citations
12.
Vasilieva, Olga, et al.. (2019). Control strategies for a population dynamics model of Aedes aegypti with seasonal variability and their effects on dengue incidence. Applied Mathematical Modelling. 81. 296–319. 28 indexed citations
13.
Martínez, Héctor J., et al.. (2018). Estimación de los parámetros de dos modelos para la dinámica del dengue y su vector en Cali, Colombia. SHILAP Revista de lepidopterología. 14(28). 69–92. 5 indexed citations
14.
Oda, Shoichiro, Olga Vasilieva, Setsuo Yoshida, et al.. (2017). Accurate Prediction of Quality of Transmission with Dynamically Configurable Optical Impairment Model. Optical Fiber Communication Conference. Th1J.4–Th1J.4. 18 indexed citations
15.
Vasilieva, Olga, et al.. (2016). Optimal control approach to dengue reduction and prevention in Cali, Colombia. Mathematical Methods in the Applied Sciences. 39(18). 5475–5496. 30 indexed citations
16.
Mukhamedshina, Yana, Olga Vasilieva, Valeriya V. Solovyeva, et al.. (2015). Stimulation of neurogenesis at hippocampus in Alzheimer's disease. Genes and Cells. 10(4). 54–59. 2 indexed citations
17.
Vasilieva, Olga, et al.. (2015). A CONTROL THEORY APPROACH AIMED AT SUSTAINABLE CONSERVATION OF SINGLE SPECIES UNDER HUMAN INTERVENTION. International Journal of Pure and Apllied Mathematics. 102(4). 2 indexed citations
18.
Vasilieva, Olga. (2015). FROM HARVESTING TO NONHARVESTING UTILITY: AN OPTIMAL CONTROL APPROACH TO SPECIES CONSERVATION. Natural Resource Modeling. 28(2). 133–151. 5 indexed citations
19.
Vasilieva, Olga, et al.. (2014). A linear dynamic model of production-inventory with debt repayment: optimal-choice management strategies. International Journal of Mathematics in Operational Research. 6(5). 610–610.
20.
Vasilieva, Olga & K. Mizukami. (1997). Optimality Criterion for Singular Controllers: Linear Boundary Conditions. Journal of Mathematical Analysis and Applications. 213(2). 620–641. 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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