Rafał Kozik
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
Papers in
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- Network Security and Intrusion Detection 41
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- Information and Cyber Security 13
- Spam and Phishing Detection 13
- Co-authors
- Michał Choraś (92 shared papers)Marek Pawlicki (51 shared papers)Massimo Ficco (4 shared papers)Vibekananda Dutta (4 shared papers)Aleksandra Pawlicka (23 shared papers)Francesco Palmieri (3 shared papers)Witold Hołubowicz (8 shared papers)Michał Woźniak (4 shared papers)
In The Last Decade
Rafał Kozik
98 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Signal Processing 498
- Computer Networks and Communications 684
- Artificial Intelligence 659
- Information Systems 420
- Health Informatics 18
Countries citing papers authored by Rafał Kozik
This map shows the geographic impact of Rafał Kozik'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 Rafał Kozik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafał Kozik more than expected).
Fields of papers citing papers by Rafał Kozik
This network shows the impact of papers produced by Rafał Kozik. 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 Rafał Kozik. The network helps show where Rafał Kozik may publish in the future.
Co-authors
The 25 scholars most cited alongside Rafał Kozik, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2020 | 111 | |
| 3 | 2018 | 99 | |
| 4 | 2021 | 72 | |
| 5 | 2020 | 49 | |
| 6 | 2011 | 47 | |
| 7 | 2021 | 46 | |
| 8 | 2014 | 39 | |
| 9 | 2017 | 39 | |
| 10 | 2022 | 35 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 26 | |
| 13 | 2020 | 26 | |
| 14 | 2020 | 24 | |
| 15 | 2020 | 20 | |
| 16 | 2021 | 20 | |
| 17 | 2022 | 20 | |
| 18 | 2024 | 19 | |
| 19 | Machine Learning Based Approach to Anomaly and Cyberattack Detection in Streamed Network Traffic Data. | 2021 | 18 |
| 20 | 2010 | 18 |
About Rafał Kozik
Rafał Kozik is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Sociology and Political Science, having authored 107 papers that have together received 1.3k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (41 papers), Advanced Malware Detection Techniques (24 papers), Anomaly Detection Techniques and Applications (16 papers), Internet Traffic Analysis and Secure E-voting (16 papers), Misinformation and Its Impacts (15 papers), Information and Cyber Security (13 papers), Spam and Phishing Detection (13 papers) and Adversarial Robustness in Machine Learning (11 papers). The work is most often cited by research in Signal Processing (498 citations), Computer Networks and Communications (684 citations), Artificial Intelligence (659 citations), Information Systems (420 citations) and Health Informatics (18 citations). Rafał Kozik has collaborated with scholars based in Poland, Germany and Italy. Frequent co-authors include Michał Choraś, Marek Pawlicki, Massimo Ficco, Vibekananda Dutta, Aleksandra Pawlicka, Francesco Palmieri, Witold Hołubowicz, Michał Woźniak, Agata Giełczyk and Ryszard S. Choraś. Their work appears in journals such as Logic Journal of IGPL, Neurocomputing, Sensors, IEEE Access and Journal of Ambient Intelligence and Humanized 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.