Georgiy Bobashev
- Epidemiology top 2%
- General Health Professions top 2%
- Public Health, Environmental and Occupational Health top 5%
- Infectious Diseases top 5%
- Modeling and Simulation top 1%
- Co-authors
- William A. ZuleRobert MorrisD. Michael GoedeckeWendee M. WechsbergJames C. GarbuttDaniel E JonasJoshua M. EpsteinFeng Yu
- Topics
- HIV, Drug Use, Sexual Risk (18 papers)COVID-19 epidemiological studies (16 papers)Substance Abuse Treatment and Outcomes (14 papers)
- Partner nations
- United StatesRussiaChina
In The Last Decade
Georgiy Bobashev
95 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Epidemiology 1.2k
- General Health Professions 522
- Public Health, Environmental and Occupational Health 430
- Infectious Diseases 406
- Modeling and Simulation 323
Countries citing papers authored by Georgiy Bobashev
This map shows the geographic impact of Georgiy Bobashev'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 Georgiy Bobashev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgiy Bobashev more than expected).
Fields of papers citing papers by Georgiy Bobashev
This network shows the impact of papers produced by Georgiy Bobashev. 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 Georgiy Bobashev. The network helps show where Georgiy Bobashev may publish in the future.
Co-authorship network of co-authors of Georgiy Bobashev
This figure shows the co-authorship network connecting the top 25 collaborators of Georgiy Bobashev. A scholar is included among the top collaborators of Georgiy Bobashev 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 Georgiy Bobashev. Georgiy Bobashev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | Pharmacotherapy for Alcohol Use Disorderbreakdown → | 95 |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 6 | |
| 9 | Variational annealing of GANs: A Langevin perspective | 1 |
| 10 | 9 | |
| 11 | On Fenchel Mini-Max Learning | 1 |
| 12 | 11 | |
| 13 | 13 | |
| 14 | An Agent-based Model to Support Measuring Drug Choice and Switch Between Drug Types in Rural Populations | 2 |
| 15 | 6 | |
| 16 | 14 | |
| 17 | Tactical robust decision-making methodology: Effect of disease spread model fidelity on option awareness. | 3 |
| 18 | 61 | |
| 19 | 15 | |
| 20 | 10 |
About Georgiy Bobashev
Georgiy Bobashev is a scholar working on Modeling and Simulation, Epidemiology and Applied Microbiology and Biotechnology, having authored 104 papers that have together received 2.8k indexed citations. Recurring topics across this work include HIV, Drug Use, Sexual Risk (18 papers), COVID-19 epidemiological studies (16 papers) and Substance Abuse Treatment and Outcomes (14 papers). The work is most often cited by research in Modeling and Simulation (323 citations), Epidemiology (1.2k citations) and Infectious Diseases (406 citations). Georgiy Bobashev has collaborated with scholars based in United States, Russia and China. Frequent co-authors include William A. Zule, Robert Morris, D. Michael Goedecke, Wendee M. Wechsberg, James C. Garbutt, Daniel E Jonas, Joshua M. Epstein, Feng Yu, Cassandra Rowe and Roberta Wines. Their work appears in journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.
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.