Yurii Kravchenko
- Computer Networks and Communications top 5%
- Artificial Intelligence top 10%
- Management Information Systems top 5%
- Information Systems top 10%
- Aerospace Engineering
- Co-authors
- Олег БарабашNitza DavidovitchОлександр ЛаптєвSerge KernbachLeena KorpinenYu. M. SinyukovY. V. KhyzhniakL.V. Bravina
- Topics
- Cybersecurity and Information Systems (22 papers)Information Systems and Technology Applications (9 papers)Advanced Data Processing Techniques (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysica ScriptaInternational Journal of Intelligent Systems and Applications
In The Last Decade
Yurii Kravchenko
29 papers receiving 348 citations
Peers
Comparison fields: 5 of 51
- Computer Networks and Communications 284
- Artificial Intelligence 111
- Management Information Systems 109
- Information Systems 81
- Aerospace Engineering 70
Countries citing papers authored by Yurii Kravchenko
This map shows the geographic impact of Yurii Kravchenko'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 Yurii Kravchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yurii Kravchenko more than expected).
Fields of papers citing papers by Yurii Kravchenko
This network shows the impact of papers produced by Yurii Kravchenko. 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 Yurii Kravchenko. The network helps show where Yurii Kravchenko may publish in the future.
Co-authorship network of co-authors of Yurii Kravchenko
This figure shows the co-authorship network connecting the top 25 collaborators of Yurii Kravchenko. A scholar is included among the top collaborators of Yurii Kravchenko 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 Yurii Kravchenko. Yurii Kravchenko 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 24 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 6 | |
| 11 | 21 | |
| 12 | 12 | |
| 13 | Machine Learning Algorithms for Predicting the Results of COVID-19 Coronavirus Infection. | 1 |
| 14 | 22 | |
| 15 | 21 | |
| 16 | 0 | |
| 17 | 3 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 2 |
About Yurii Kravchenko
Yurii Kravchenko is a scholar working on Computer Networks and Communications, Management Information Systems and Control and Systems Engineering, having authored 38 papers that have together received 362 indexed citations. Recurring topics across this work include Cybersecurity and Information Systems (22 papers), Information Systems and Technology Applications (9 papers) and Advanced Data Processing Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (284 citations), Management Information Systems (109 citations) and Information Systems (81 citations). Yurii Kravchenko has collaborated with scholars based in Ukraine, Israel and Russia. Frequent co-authors include Олег Барабаш, Nitza Davidovitch, Олександр Лаптєв, Serge Kernbach, Leena Korpinen, Yu. M. Sinyukov, Y. V. Khyzhniak, L.V. Bravina, G. Nigmatkulov and E. Zabrodin. Their work appears in journals such as SHILAP Revista de lepidopterología, Physica Scripta and International Journal of Intelligent Systems and Applications.
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.