Nataliia Neshenko

About

Nataliia Neshenko is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Nataliia Neshenko has authored 11 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 6 papers in Signal Processing. Recurrent topics in Nataliia Neshenko’s work include Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (6 papers) and Smart Grid Security and Resilience (5 papers). Nataliia Neshenko is often cited by papers focused on Network Security and Intrusion Detection (9 papers), Advanced Malware Detection Techniques (6 papers) and Smart Grid Security and Resilience (5 papers). Nataliia Neshenko collaborates with scholars based in United States, Czechia and Canada. Nataliia Neshenko's co-authors include Elias Bou‐Harb, Nasir Ghani, Georges Kaddoum, Jorge Crichigno, Borko Furht, Dimitris A. Pados, Mohd. Farooq Shaikh, Kim‐Kwang Raymond Choo, Martin Husák and Pavel Čeleda and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Communications Magazine and Risk Analysis.

In The Last Decade

Co-authorship network of co-authors of Nataliia Neshenko i

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Fields of papers citing papers by Nataliia Neshenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nataliia Neshenko

Since Specialization

Citations

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