| Fitting the SEIR model of seasonal influenza outbreak to the incidence data for Russian cities VN Leonenko, SV Ivanov Russian Journal of Numerical Analysis and Mathematical Modelling 31 (5), 267-279, 2016 | 29 | 2016 |
| A computational approach to investigate patterns of acute respiratory illness dynamics in the regions with distinct seasonal climate transitions VN Leonenko, SV Ivanov, YK Novoselova Procedia Computer Science 80, 2402-2412, 2016 | 20 | 2016 |
| Using synthetic populations to understand geospatial patterns in opioid related overdose and predicted opioid misuse S Bates, V Leonenko, J Rineer, G Bobashev Computational and Mathematical Organization Theory 25, 36-47, 2019 | 18 | 2019 |
| Analyzing influenza outbreaks in Russia using an age-structured dynamic transmission model V Leonenko, G Bobashev Epidemics 29, 100358, 2019 | 16 | 2019 |
| Prediction of influenza peaks in Russian cities: Comparing the accuracy of two SEIR models VN Leonenko, SV Ivanov Math. Biosci. Eng 15 (1), 209-232, 2018 | 16 | 2018 |
| Influenza outbreaks forecasting in Russian cities: Is Baroyan-Rvachev approach still applicable? VN Leonenko, YK Novoselova, KM Ong Procedia Computer Science 101, 282-291, 2016 | 15 | 2016 |
| Stochastic individual-based model of spread of tuberculosis NV Pertsev, VN Leonenko Walter de Gruyter GmbH & Co. KG 24 (4), 341-360, 2009 | 14 | 2009 |
| Using high performance algorithms for the hybrid simulation of disease dynamics on CPU and GPU VN Leonenko, NV Pertsev, M Artzrouni Procedia Computer Science 51, 150-159, 2015 | 13 | 2015 |
| Contact patterns and influenza outbreaks in Russian cities: A proof-of-concept study via agent-based modeling V Leonenko, S Arzamastsev, G Bobashev Journal of Computational Science 44, 101156, 2020 | 12 | 2020 |
| Spatial modeling of influenza outbreaks in Saint Petersburg using synthetic populations V Leonenko, A Lobachev, G Bobashev Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019 | 9 | 2019 |
| Prediction of user reactions in social networks by machine learning methods EP Popova, VN Leonenko Scientific and technical bulletin of information technologies, mechanics and …, 2020 | 7 | 2020 |
| Supercomputer simulation of critical phenomena in complex social systems PA Sloot, J Holyst, G Kampis, MH Lees, SA Mityagin, SV Ivanov, ... Nauchno-Tekhnicheskii Vestnik Informatsionnykh Tekhnologii, Mekhaniki i …, 2016 | 7 | 2016 |
| Matching model complexity with data detail: influenza propagation modeling as a case study I Huaman, EP Plesovskaya, VN Leonenko 2022 IEEE International Multi-Conference on Engineering, Computer and …, 2022 | 6 | 2022 |
| Herd immunity levels and multi-strain influenza epidemics in Russia: a modelling study VN Leonenko Russian Journal of Numerical Analysis and Mathematical Modelling 36 (5), 279-291, 2021 | 6 | 2021 |
| Boosting performance of influenza outbreak prediction framework NE Seleznev, VN Leonenko Digital Transformation and Global Society: Second International Conference …, 2017 | 6 | 2017 |
| Discrete stochastic model of HIV infection spread within a heterogeneous population NV Pertsev, VN Leonenko Russian Journal of Numerical Analysis and Mathematical Modelling 27 (5), 459-478, 2012 | 6 | 2012 |
| Absolute humidity anomalies and the influenza onsets in Russia: a computational study NE Seleznev, VN Leonenko Procedia computer science 119, 224-233, 2017 | 5 | 2017 |
| Assessment of rat polyclonal antisera’s suitability in hemagglutination inhibition assay for influenza surveillance and antigenic mapping DM Danilenko, MY Eropkin, VN Leonenko, NI Konovalova, PA Petrova, ... Journal of Virological Methods 293, 114170, 2021 | 4 | 2021 |
| Analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence VN Leonenko International Conference on Computational Science, 483-494, 2020 | 4 | 2020 |
| Accounting for data uncertainty in modeling acute respiratory infections: Influenza in Saint Petersburg as a case study K Sahatova, A Kharlunin, I Huaman, V Leonenko International Conference on Computational Science, 286-299, 2023 | 3 | 2023 |
