Stere Preda
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Caching and Content Delivery
Papers in
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- Caching and Content Delivery 4
- Software-Defined Networks and 5G 3
- Network Security and Intrusion Detection 3
- IoT and Edge/Fog Computing 1
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- Internet Traffic Analysis and Secure E-voting 2
- Security and Verification in Computing 2
- Co-authors
- Mourad Debbabi (2 shared papers)Lingyu Wang (1 shared paper)Saed Alrabaee (1 shared paper)Raouf Boutaba (3 shared papers)Milad Ghaznavi (3 shared papers)Mohammad A. Salahuddin (1 shared paper)Abdallah Shami (1 shared paper)Mohammad Farhadi (1 shared paper)
- Journals
- Digital Investigation (2 papers)Journal of Systems and Software (1 paper)IEEE Transactions on Network and Service Management (1 paper)IEEE Communications Surveys & Tutorials (1 paper)IEEE Transactions on Network Science and Engineering (1 paper)
- Partner nations
- CanadaFranceUnited Kingdom
In The Last Decade
Stere Preda
8 papers receiving 150 citations
Peers
Comparison fields: 5 of 23
- Signal Processing 67
- Computer Networks and Communications 82
- Information Systems 71
- Software 8
- Artificial Intelligence 64
Countries citing papers authored by Stere Preda
This map shows the geographic impact of Stere Preda'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 Stere Preda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stere Preda more than expected).
Fields of papers citing papers by Stere Preda
This network shows the impact of papers produced by Stere Preda. 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 Stere Preda. The network helps show where Stere Preda may publish in the future.
Co-authors
The 25 scholars most cited alongside Stere Preda, 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 | 2014 | 48 | |
| 2 | 2021 | 31 | |
| 3 | 2021 | 30 | |
| 4 | 2015 | 18 | |
| 5 | 2011 | 12 | |
| 6 | 2018 | 9 | |
| 7 | 2018 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2016 | 0 |
About Stere Preda
Stere Preda is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 9 papers that have together received 155 indexed citations. Recurring topics across this work include Caching and Content Delivery (4 papers), Software-Defined Networks and 5G (3 papers), Network Security and Intrusion Detection (3 papers), Internet Traffic Analysis and Secure E-voting (2 papers), Security and Verification in Computing (2 papers), Spam and Phishing Detection (1 paper), IoT and Edge/Fog Computing (1 paper) and Access Control and Trust (1 paper). The work is most often cited by research in Signal Processing (67 citations), Computer Networks and Communications (82 citations), Information Systems (71 citations), Software (8 citations) and Artificial Intelligence (64 citations). Stere Preda has collaborated with scholars based in Canada, France and United Kingdom. Frequent co-authors include Mourad Debbabi, Lingyu Wang, Saed Alrabaee, Raouf Boutaba, Milad Ghaznavi, Mohammad A. Salahuddin, Abdallah Shami, Mohammad Farhadi, Philippe Charland and Amine Boukhtouta. Their work appears in journals such as Digital Investigation, Journal of Systems and Software, IEEE Transactions on Network and Service Management, IEEE Communications Surveys & Tutorials and IEEE Transactions on Network Science and Engineering.
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.