Dmytro Chumachenko

1.5k total citations · 1 hit paper
96 papers, 604 citations indexed

About

Dmytro Chumachenko is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Artificial Intelligence. According to data from OpenAlex, Dmytro Chumachenko has authored 96 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 20 papers in Modeling and Simulation and 15 papers in Artificial Intelligence. Recurrent topics in Dmytro Chumachenko's work include COVID-19 epidemiological studies (20 papers), Information Systems and Technology Applications (12 papers) and Legal, Health, Environmental and COVID-19 Challenges (8 papers). Dmytro Chumachenko is often cited by papers focused on COVID-19 epidemiological studies (20 papers), Information Systems and Technology Applications (12 papers) and Legal, Health, Environmental and COVID-19 Challenges (8 papers). Dmytro Chumachenko collaborates with scholars based in Ukraine, Canada and Poland. Dmytro Chumachenko's co-authors include Tetyana Chumachenko, Ievgen Meniailov, Sergiy Yakovlev, Sergey Yakovlev, Shanshan Wang, Juan Espinoza, I. A. Holovanova, Ubydul Haque, Anton Tkachenko and D. Bаzyка and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dmytro Chumachenko

81 papers receiving 524 citations

Hit Papers

A Comparison of Ukrainian Hospital Services and Functions... 2024 2026 2025 2024 5 10 15 20 25
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Comparison of Ukrainian Hospital Services and Functions Before and During the Russia-Ukraine War
    2024 25 citations Ubydul Haque, Shanshan Wang et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dmytro Chumachenko Ukraine 14 109 63 60 60 57 96 604
Nicoleta Serban United States 19 124 1.1× 69 1.1× 42 0.7× 49 0.8× 17 0.3× 75 987
Stephen Gbenga Fashoto Eswatini 16 148 1.4× 56 0.9× 29 0.5× 36 0.6× 182 3.2× 41 738
Talya Porat United Kingdom 16 133 1.2× 19 0.3× 22 0.4× 108 1.8× 35 0.6× 50 922
Abdulrahman A. Alshdadi Saudi Arabia 15 206 1.9× 206 3.3× 20 0.3× 45 0.8× 156 2.7× 51 1.2k
Pelumi E. Oguntunde Nigeria 17 128 1.2× 29 0.5× 16 0.3× 147 2.5× 25 0.4× 80 921
Puneet Kumar Gupta India 13 93 0.9× 117 1.9× 15 0.3× 99 1.6× 54 0.9× 40 790
M.A. Chyad Malaysia 9 330 3.0× 39 0.6× 25 0.4× 13 0.2× 124 2.2× 12 823
Sujin Kim United States 13 99 0.9× 9 0.1× 25 0.4× 31 0.5× 64 1.1× 50 789
Samarth Swarup United States 16 194 1.8× 170 2.7× 26 0.4× 48 0.8× 77 1.4× 89 976
Martin Gerdes Norway 12 84 0.8× 29 0.5× 10 0.2× 117 1.9× 82 1.4× 45 615

Countries citing papers authored by Dmytro Chumachenko

Since Specialization
Citations

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

Fields of papers citing papers by Dmytro Chumachenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dmytro Chumachenko

This figure shows the co-authorship network connecting the top 25 collaborators of Dmytro Chumachenko. A scholar is included among the top collaborators of Dmytro 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 Dmytro Chumachenko. Dmytro Chumachenko 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.
Abedi, Hajar, Dmytro Chumachenko, Shahabeddin Abhari, et al.. (2025). Smart furniture using radar technology for cardiac health monitoring. Scientific Reports. 15(1). 1392–1392. 1 indexed citations
2.
Chumachenko, Dmytro & Sergiy Yakovlev. (2025). Artificial Intelligence Applications in Public Health. Computation. 13(2). 53–53. 1 indexed citations
3.
Yakovlev, Sergiy, et al.. (2025). A Novel Comprehensive Framework for Detecting and Understanding Health-Related Misinformation. Information. 16(3). 175–175.
4.
Wang, Kang, Shi Cao, Moojan Ghafurian, et al.. (2025). A contactless method for recognition of daily living activities for older adults based on ambient assisted living technology. Internet of Things. 30. 101502–101502.
5.
6.
Chumachenko, Dmytro, et al.. (2024). Methodology for assessing the impact of emergencies on the spread of infectious diseases. RADIOELECTRONIC AND COMPUTER SYSTEMS. 2024(3). 6–26.
7.
Ghafurian, Moojan, Dmytro Chumachenko, Shi Cao, et al.. (2024). Application of artificial intelligence in active assisted living for aging population in real-world setting with commercial devices – A scoping review. Computers in Biology and Medicine. 173. 108340–108340. 6 indexed citations
8.
Chumachenko, Dmytro & Sergiy Yakovlev. (2024). Artificial Intelligence Algorithms for Healthcare. Algorithms. 17(3). 105–105. 3 indexed citations
9.
Yakovlev, Sergiy, et al.. (2024). Exploring Bifurcation in the Compartmental Mathematical Model of COVID-19 Transmission. Computation. 12(9). 186–186.
10.
Abhari, Shahabeddin, et al.. (2024). A Road Map of Prompt Engineering for ChatGPT in Healthcare: A Perspective Study. Studies in health technology and informatics. 316. 998–1002. 2 indexed citations
11.
Chumachenko, Tetyana, et al.. (2023). A prognostic model and pre-discharge predictors of post-COVID-19 syndrome after hospitalization for SARS-CoV-2 infection. Frontiers in Public Health. 11. 1276211–1276211. 4 indexed citations
12.
Yakovlev, Sergiy, et al.. (2023). Maximum Service Coverage in Business Site Selection Using Computer Geometry Software. Electronics. 12(10). 2329–2329. 4 indexed citations
13.
Yakovlev, Sergiy, et al.. (2023). Information system for assessing the informativeness of an epidemic process features. SHILAP Revista de lepidopterología. 100–112.
14.
Chumachenko, Dmytro, et al.. (2022). On COVID-19 epidemic process simulation: three regression approaches investigations. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Haque, Ubydul, Shanshan Wang, Juan Espinoza, et al.. (2022). The human toll and humanitarian crisis of the Russia-Ukraine war: the first 162 days. BMJ Global Health. 7(9). e009550–e009550. 84 indexed citations
16.
17.
Meniailov, Ievgen, et al.. (2021). Comparative study of linear regression and SIR models of COVID-19 propagation in Ukraine before vaccination. RADIOELECTRONIC AND COMPUTER SYSTEMS. 5–18. 10 indexed citations
18.
Meniailov, Ievgen, et al.. (2019). Determining the Probability of Heart Disease using Data Mining Methods.. 383–394. 6 indexed citations
19.
Chumachenko, Dmytro, et al.. (2018). Intelligent Multiagent Approach to Morbidity by Ixodes TickBorn Borreliosis Forecasting. 3(2). 1 indexed citations
20.

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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