Tetyana Chumachenko
- Modeling and Simulation top 5%
- Epidemiology
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Management Information Systems
- Co-authors
- Dmytro ChumachenkoIevgen MeniailovAnton TkachenkoSergey YakovlevSergiy YakovlevDenys PogozhykhShanshan WangJuan Espinoza
- Topics
- COVID-19 epidemiological studies (11 papers)Legal, Health, Environmental and COVID-19 Challenges (6 papers)Environmental and Biological Research in Conflict Zones (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesBMJ
- Partner nations
- UkrainePolandUnited States
In The Last Decade
Tetyana Chumachenko
35 papers receiving 253 citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Modeling and Simulation 42
- Epidemiology 31
- Artificial Intelligence 31
- Public Health, Environmental and Occupational Health 31
- Management Information Systems 24
Countries citing papers authored by Tetyana Chumachenko
This map shows the geographic impact of Tetyana Chumachenko'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 Tetyana Chumachenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tetyana Chumachenko more than expected).
Fields of papers citing papers by Tetyana Chumachenko
This network shows the impact of papers produced by Tetyana Chumachenko. 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 Tetyana Chumachenko. The network helps show where Tetyana Chumachenko may publish in the future.
Co-authorship network of co-authors of Tetyana Chumachenko
This figure shows the co-authorship network connecting the top 25 collaborators of Tetyana Chumachenko. A scholar is included among the top collaborators of Tetyana Chumachenko 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 Tetyana Chumachenko. Tetyana Chumachenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | A Comparison of Ukrainian Hospital Services and Functions Before and During the Russia-Ukraine Warbreakdown → | 25 |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 30 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 1 | |
| 13 | The Concept of Developing a Decision Support System for the Epidemic Morbidity Control. | 32 |
| 14 | 3 | |
| 15 | 18 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 23 | |
| 19 | 10 | |
| 20 | [Identification of bis-quaternary ammonium compounds using mild ionization mass spectrometry]. | 2 |
About Tetyana Chumachenko
Tetyana Chumachenko is a scholar working on Modeling and Simulation, Medical Laboratory Technology and General Social Sciences, having authored 41 papers that have together received 283 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (11 papers), Legal, Health, Environmental and COVID-19 Challenges (6 papers) and Environmental and Biological Research in Conflict Zones (6 papers). The work is most often cited by research in Modeling and Simulation (42 citations), Anatomy (8 citations) and Health Information Management (23 citations). Tetyana Chumachenko has collaborated with scholars based in Ukraine, Poland and United States. Frequent co-authors include Dmytro Chumachenko, Ievgen Meniailov, Anton Tkachenko, Sergey Yakovlev, Sergiy Yakovlev, Denys Pogozhykh, Shanshan Wang, Juan Espinoza, Nancy Fiedler and Yevgen O. Posokhov. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and BMJ.
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.