Marta Catillo
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Software System Performance and Reliability
Papers in
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- Network Security and Intrusion Detection 18
- Software System Performance and Reliability 5
- IoT and Edge/Fog Computing 2
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- Anomaly Detection Techniques and Applications 10
- Internet Traffic Analysis and Secure E-voting 7
- Co-authors
- Umberto Villano (24 shared papers)Antonio Pecchia (19 shared papers)Massimiliano Rak (7 shared papers)Francesco Vasca (2 shared papers)Pasquale Avella (1 shared paper)
- Journals
- Software Quality Journal (2 papers)Computers & Security (2 papers)Internet of Things (1 paper)Applied Sciences (1 paper)Soft Computing (1 paper)
- Partner nations
- Italy
In The Last Decade
Marta Catillo
19 papers receiving 249 citations
Peers
Comparison fields: 5 of 27
- Signal Processing 120
- Computer Networks and Communications 219
- Artificial Intelligence 194
- Control and Systems Engineering 33
- Information Systems 23
Countries citing papers authored by Marta Catillo
This map shows the geographic impact of Marta Catillo'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 Marta Catillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marta Catillo more than expected).
Fields of papers citing papers by Marta Catillo
This network shows the impact of papers produced by Marta Catillo. 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 Marta Catillo. The network helps show where Marta Catillo may publish in the future.
Co-authors
The 5 scholars most cited alongside Marta Catillo, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 55 | |
| 2 | 2023 | 53 | |
| 3 | 2023 | 30 | |
| 4 | 2022 | 26 | |
| 5 | 2021 | 18 | |
| 6 | 2019 | 18 | |
| 7 | 2021 | 11 | |
| 8 | 2022 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2025 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2021 | 1 | |
| 20 | 2025 | 0 |
About Marta Catillo
Marta Catillo is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Sociology and Political Science, having authored 24 papers that have together received 255 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (18 papers), Advanced Malware Detection Techniques (13 papers), Anomaly Detection Techniques and Applications (10 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Software System Performance and Reliability (5 papers), Cloud Computing and Resource Management (4 papers), IoT and Edge/Fog Computing (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Signal Processing (120 citations), Computer Networks and Communications (219 citations), Artificial Intelligence (194 citations), Control and Systems Engineering (33 citations) and Information Systems (23 citations). Marta Catillo has collaborated with scholars based in Italy. Frequent co-authors include Umberto Villano, Antonio Pecchia, Massimiliano Rak, Francesco Vasca and Pasquale Avella. Their work appears in journals such as Software Quality Journal, Computers & Security, Internet of Things, Applied Sciences and Soft 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.