This map shows the geographic impact of Yevhen Burov'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 Yevhen Burov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yevhen Burov more than expected).
This network shows the impact of papers produced by Yevhen Burov. 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 Yevhen Burov. The network helps show where Yevhen Burov may publish in the future.
Co-authorship network of co-authors of Yevhen Burov
This figure shows the co-authorship network connecting the top 25 collaborators of Yevhen Burov.
A scholar is included among the top collaborators of Yevhen Burov 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 Yevhen Burov. Yevhen Burov 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.
Burov, Yevhen. (2021). Knowledge Based Situation Awareness Process Based on Ontologies.. 413–423.3 indexed citations
2.
Lytvyn, Vasyl, et al.. (2021). Assessment of the Hydro-Meteorological Conditions Impact on the Combat Troops Operations Preparation and Conduct in the Geo-Information Subsystem of the Automated Battlefield Management System.. 1063–1076.2 indexed citations
3.
Lytvyn, Vasyl, et al.. (2021). Route Selection Method in Military Information and Telecommunication Networks Based on ANFIS.. 514–524.1 indexed citations
4.
Lytvyn, Vasyl, et al.. (2021). Game Task of Ontological Project Coverage.. 344–355.1 indexed citations
Lytvyn, Vasyl, et al.. (2020). Intelligent System for Semantically Similar Sentences Identification and Generation Based on Machine Learning Methods.. 317–346.3 indexed citations
7.
Chyrun, Lyubomyr, et al.. (2020). An Intelligent System for Generating End-User Symptom Recommendations Based on Machine Learning Technology.. 844–883.1 indexed citations
8.
Vysotska, Victoria, et al.. (2020). Conceptual Model of Process Formation for the Semantics of Sentence in Natural Language.. 151–177.6 indexed citations
9.
Vysotska, Victoria, et al.. (2020). Propaganda Detection in Text Data Based on NLP and Machine Learning.. 132–144.14 indexed citations
10.
Burov, Yevhen, et al.. (2019). Ontological Approach to Plot Analysis and Modeling.. 22–31.31 indexed citations
11.
Lytvyn, Vasyl, et al.. (2019). Methods and Models of Intellectual Processing of Texts for Building Ontologies of Software for Medical Terms Identification in Content Classification.. 354–368.16 indexed citations
12.
Vysotska, Victoria, et al.. (2019). Development of Information System for Textual Content Categorizing Based on Ontology.. 53–70.11 indexed citations
Burov, Yevhen. (2014). Complex ontology management using task models. International Journal of Knowledge-based and Intelligent Engineering Systems. 18(2). 111–120.9 indexed citations
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.