Sandra Siby
Impact in
- Signal Processing top 10%
- Advanced Malware Detection Techniques
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- Network Security and Intrusion Detection
- Opportunistic and Delay-Tolerant Networks
- IoT and Edge/Fog Computing
Papers in
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- Opportunistic and Delay-Tolerant Networks 4
- Network Security and Intrusion Detection 2
- Mobile Ad Hoc Networks 2
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- Internet Traffic Analysis and Secure E-voting 5
- Co-authors
- Nils Ole Tippenhauer (2 shared papers)Carmela Troncoso (4 shared papers)Marc Juárez (2 shared papers)Narseo Vallina-Rodríguez (2 shared papers)Claudia Díaz (1 shared paper)Kristin L. Wood (1 shared paper)Shaohui Foong (1 shared paper)Erik Wilhelm (1 shared paper)
- Journals
- IEEE Sensors Journal (1 paper)Proceedings on Privacy Enhancing Technologies (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (3 papers)National University of Singapore (1 paper)
- Partner nations
- SwitzerlandSingaporeUnited Kingdom
In The Last Decade
Sandra Siby
10 papers receiving 195 citations
Peers
Comparison fields: 5 of 45
- Signal Processing 62
- Computer Networks and Communications 130
- Artificial Intelligence 98
- Information Systems 50
- Transportation 8
Countries citing papers authored by Sandra Siby
This map shows the geographic impact of Sandra Siby'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 Sandra Siby with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra Siby more than expected).
Fields of papers citing papers by Sandra Siby
This network shows the impact of papers produced by Sandra Siby. 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 Sandra Siby. The network helps show where Sandra Siby may publish in the future.
Co-authors
The 19 scholars most cited alongside Sandra Siby, 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 | 2017 | 56 | |
| 2 | 2020 | 50 | |
| 3 | 2016 | 49 | |
| 4 | 2014 | 14 | |
| 5 | DNS Privacy not so private: the traffic analysis perspective | 2018 | 10 |
| 6 | 2023 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2014 | 5 | |
| 9 | 2015 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2011 | 0 |
About Sandra Siby
Sandra Siby is a scholar working on Computer Networks and Communications, Artificial Intelligence, Information Systems, Electrical and Electronic Engineering and Sociology and Political Science, having authored 11 papers that have together received 207 indexed citations. Recurring topics across this work include Internet Traffic Analysis and Secure E-voting (5 papers), Opportunistic and Delay-Tolerant Networks (4 papers), ICT in Developing Communities (3 papers), Privacy, Security, and Data Protection (2 papers), IPv6, Mobility, Handover, Networks, Security (2 papers), Network Security and Intrusion Detection (2 papers), Mobile Ad Hoc Networks (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Signal Processing (62 citations), Computer Networks and Communications (130 citations), Artificial Intelligence (98 citations), Information Systems (50 citations) and Transportation (8 citations). Sandra Siby has collaborated with scholars based in Switzerland, Singapore and United Kingdom. Frequent co-authors include Nils Ole Tippenhauer, Carmela Troncoso, Marc Juárez, Narseo Vallina-Rodríguez, Claudia Díaz, Kristin L. Wood, Shaohui Foong, Erik Wilhelm, Stefan Mangold and Zubair Shafiq. Their work appears in journals such as IEEE Sensors Journal, Proceedings on Privacy Enhancing Technologies, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and National University of Singapore.
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.