Myroslav Komar
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition
- Information Systems top 10%
- Signal Processing
- Co-authors
- Vladimir GolovkoAnatoliy SachenkoAnatoly SachenkoVolodymyr KochanVasyl LytvynVictoria VysotskaChunzhi WangNataliya Shakhovska
- Topics
- Network Security and Intrusion Detection (12 papers)Artificial Immune Systems Applications (9 papers)Anomaly Detection Techniques and Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaSmart CitiesActa Physica Polonica A
In The Last Decade
Myroslav Komar
36 papers receiving 291 citations
Peers
Comparison fields: 5 of 85
- Artificial Intelligence 130
- Computer Networks and Communications 103
- Computer Vision and Pattern Recognition 53
- Information Systems 50
- Signal Processing 43
Countries citing papers authored by Myroslav Komar
This map shows the geographic impact of Myroslav Komar'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 Myroslav Komar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myroslav Komar more than expected).
Fields of papers citing papers by Myroslav Komar
This network shows the impact of papers produced by Myroslav Komar. 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 Myroslav Komar. The network helps show where Myroslav Komar may publish in the future.
Co-authorship network of co-authors of Myroslav Komar
This figure shows the co-authorship network connecting the top 25 collaborators of Myroslav Komar. A scholar is included among the top collaborators of Myroslav Komar 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 Myroslav Komar. Myroslav Komar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 9 | |
| 10 | 1 | |
| 11 | 24 | |
| 12 | 37 | |
| 13 | Intelligent Cyber Defense System. | 3 |
| 14 | 24 | |
| 15 | 26 | |
| 16 | 6 | |
| 17 | 19 | |
| 18 | 17 | |
| 19 | Principles of neural network artificial immune system design to detect attacks on computers | 12 |
| 20 | Noise suppression in liquid crystal beam steering devices | 1 |
About Myroslav Komar
Myroslav Komar is a scholar working on Management of Technology and Innovation, Computer Networks and Communications and Artificial Intelligence, having authored 39 papers that have together received 327 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (12 papers), Artificial Immune Systems Applications (9 papers) and Anomaly Detection Techniques and Applications (6 papers). The work is most often cited by research in Computer Networks and Communications (103 citations), Artificial Intelligence (130 citations) and Signal Processing (43 citations). Myroslav Komar has collaborated with scholars based in Ukraine, Belarus and Poland. Frequent co-authors include Vladimir Golovko, Anatoliy Sachenko, Anatoly Sachenko, Volodymyr Kochan, Vasyl Lytvyn, Victoria Vysotska, Chunzhi Wang, Nataliya Shakhovska, Volodymyr Turchenko and Roman Tkachenko. Their work appears in journals such as SHILAP Revista de lepidopterología, Smart Cities and Acta Physica Polonica A.
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.