Viktoriia Shubina

7 papers and 123 indexed citations i.

About

Viktoriia Shubina is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Viktoriia Shubina has authored 7 papers receiving a total of 123 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Viktoriia Shubina’s work include Privacy-Preserving Technologies in Data (4 papers), COVID-19 Digital Contact Tracing (4 papers) and Indoor and Outdoor Localization Technologies (2 papers). Viktoriia Shubina is often cited by papers focused on Privacy-Preserving Technologies in Data (4 papers), COVID-19 Digital Contact Tracing (4 papers) and Indoor and Outdoor Localization Technologies (2 papers). Viktoriia Shubina collaborates with scholars based in Finland, Romania and Czechia. Viktoriia Shubina's co-authors include Elena Simona Lohan, Aleksandr Ometov, Michael Gould, Dragoş Niculescu, Anahid Basiri, Sergey Bezzateev, Pavel Mašek, Laura Flueratoru, Mikhail Komarov and Sergey Andreev and has published in prestigious journals such as Sensors, IEEE Access and IEEE Sensors Journal.

In The Last Decade

Co-authorship network of co-authors of Viktoriia Shubina i

Fields of papers citing papers by Viktoriia Shubina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Viktoriia Shubina

Since Specialization
Citations

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

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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