Igor Saenko
Impact in
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- Network Security and Intrusion Detection
- Cybersecurity and Information Systems
- IoT and Edge/Fog Computing
- Information Systems top 5%
- Information and Cyber Security
Papers in
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- Network Security and Intrusion Detection 37
- Cybersecurity and Information Systems 31
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- Advanced Data Processing Techniques 46
- Advanced Research in Systems and Signal Processing 11
- Co-authors
- Igor Kotenko (80 shared papers)Alexander Branitskiy (9 shared papers)Elena Doynikova (4 shared papers)Andrey Chechulin (3 shared papers)Rajeev Shorey (1 shared paper)А. В. Чернов (1 shared paper)Maria A. Butakova (1 shared paper)Alexander Kapustin (1 shared paper)
In The Last Decade
Igor Saenko
77 papers receiving 457 citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 340
- Information Systems 177
- Signal Processing 79
- Control and Systems Engineering 167
- Artificial Intelligence 160
Countries citing papers authored by Igor Saenko
This map shows the geographic impact of Igor Saenko'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 Igor Saenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Igor Saenko more than expected).
Fields of papers citing papers by Igor Saenko
This network shows the impact of papers produced by Igor Saenko. 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 Igor Saenko. The network helps show where Igor Saenko may publish in the future.
Co-authors
The 10 scholars most cited alongside Igor Saenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 53 | |
| 2 | 2015 | 25 | |
| 3 | 2019 | 23 | |
| 4 | 2013 | 22 | |
| 5 | 2019 | 20 | |
| 6 | 2015 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2020 | 18 | |
| 9 | 2012 | 17 | |
| 10 | 2011 | 15 | |
| 11 | 2018 | 14 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2015 | 11 | |
| 17 | 2013 | 11 | |
| 18 | 2012 | 11 | |
| 19 | 2017 | 11 | |
| 20 | 2017 | 9 |
About Igor Saenko
Igor Saenko is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Artificial Intelligence, Information Systems and Sociology and Political Science, having authored 94 papers that have together received 534 indexed citations. Recurring topics across this work include Advanced Data Processing Techniques (46 papers), Network Security and Intrusion Detection (37 papers), Cybersecurity and Information Systems (31 papers), Information and Cyber Security (11 papers), Advanced Research in Systems and Signal Processing (11 papers), Complex Network Analysis Techniques (7 papers), Economic and Technological Systems Analysis (7 papers) and Access Control and Trust (7 papers). The work is most often cited by research in Computer Networks and Communications (340 citations), Information Systems (177 citations), Signal Processing (79 citations), Control and Systems Engineering (167 citations) and Artificial Intelligence (160 citations). Igor Saenko has collaborated with scholars based in Russia and India. Frequent co-authors include Igor Kotenko, Alexander Branitskiy, Elena Doynikova, Andrey Chechulin, Rajeev Shorey, А. В. Чернов, Maria A. Butakova, Alexander Kapustin, Evgenia Novikova and Andrey V. Vasin. Their work appears in journals such as Energies, Future Internet, Knowledge-Based Systems, IEEE Access and Big Data and Cognitive Computing.
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.