Nataliia Neshenko
Impact in
- Signal Processing top 2%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
Papers in
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- Network Security and Intrusion Detection 10
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- Anomaly Detection Techniques and Applications 4
- Internet Traffic Analysis and Secure E-voting 4
- Co-authors
- Elias Bou‐Harb (12 shared papers)Nasir Ghani (3 shared papers)Jorge Crichigno (2 shared papers)Georges Kaddoum (2 shared papers)Borko Furht (5 shared papers)Morteza Safaei Pour (2 shared papers)Mohd. Farooq Shaikh (1 shared paper)Kim‐Kwang Raymond Choo (1 shared paper)
- Journals
- Journal Of Big Data (2 papers)Strategy Science (1 paper)IEEE Communications Magazine (1 paper)Forensic Science International Digital Investigation (1 paper)IEEE Communications Surveys & Tutorials (1 paper)
- Partner nations
- United StatesCanadaCzechia
In The Last Decade
Nataliia Neshenko
11 papers receiving 640 citations
Nataliia Neshenko's Hit Papers
Peers
Comparison fields: 5 of 65
- Signal Processing 254
- Computer Networks and Communications 450
- Information Systems 242
- Artificial Intelligence 237
- Hardware and Architecture 29
Countries citing papers authored by Nataliia Neshenko
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).
Fields of papers citing papers by Nataliia Neshenko
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.
Co-authors
The 16 scholars most cited alongside Nataliia Neshenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations Hit paper breakdown → | 2019 | 525 |
| 2 | 2018 | 35 | |
| 3 | 2019 | 35 | |
| 4 | 2020 | 25 | |
| 5 | 2018 | 15 | |
| 6 | 2017 | 13 | |
| 7 | 2021 | 9 | |
| 8 | 2020 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2022 | 1 | |
| 11 | 2018 | 1 | |
| 12 | 2026 | 0 | |
| 13 | 2025 | 0 |
About Nataliia Neshenko
Nataliia Neshenko is a scholar working on Computer Networks and Communications, Artificial Intelligence, Control and Systems Engineering, Signal Processing and Information Systems, having authored 13 papers that have together received 670 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Smart Grid Security and Resilience (6 papers), Advanced Malware Detection Techniques (6 papers), Anomaly Detection Techniques and Applications (4 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Information and Cyber Security (1 paper) and Digital and Cyber Forensics (1 paper). The work is most often cited by research in Signal Processing (254 citations), Computer Networks and Communications (450 citations), Information Systems (242 citations), Artificial Intelligence (237 citations) and Hardware and Architecture (29 citations). Nataliia Neshenko has collaborated with scholars based in United States, Canada and Czechia. Frequent co-authors include Elias Bou‐Harb, Nasir Ghani, Jorge Crichigno, Georges Kaddoum, Borko Furht, Morteza Safaei Pour, Mohd. Farooq Shaikh, Kim‐Kwang Raymond Choo, Dimitris A. Pados and Martin Husák. Their work appears in journals such as Journal Of Big Data, Strategy Science, IEEE Communications Magazine, Forensic Science International Digital Investigation and IEEE Communications Surveys & Tutorials.
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.