Sebastian Ramacher
- Artificial Intelligence top 10%
- Cryptography and Data Security 10
- Privacy-Preserving Technologies in Data 4
- Quantum Computing Algorithms and Architecture 3
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- Blockchain Technology Applications and Security 3
- Cloud Data Security Solutions 3
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- Chaos-based Image/Signal Encryption 3
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- VLSI and FPGA Design Techniques 1
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- DNA and Biological Computing 1
- Co-authors
- Daniel SlamanigDavid DerlerGreg ZaveruchaChristian RechbergerSteven GoldfederClaudio OrlandiMelissa ChaseDaniel Kales
- Journals
- Journal of Cryptology (1 paper)Entropy (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
In The Last Decade
Sebastian Ramacher
12 papers receiving 130 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 116
- Information Systems 44
- Computational Theory and Mathematics 21
- Hardware and Architecture 7
- Computer Networks and Communications 17
Countries citing papers authored by Sebastian Ramacher
This map shows the geographic impact of Sebastian Ramacher'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 Sebastian Ramacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Ramacher more than expected).
Fields of papers citing papers by Sebastian Ramacher
This network shows the impact of papers produced by Sebastian Ramacher. 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 Sebastian Ramacher. The network helps show where Sebastian Ramacher may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Sebastian Ramacher, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 6 | |
| 11 | 2019 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 77 |
About Sebastian Ramacher
Sebastian Ramacher is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Cancer Research and Neurology, having authored 13 papers that have together received 133 indexed citations. Recurring topics across this work include Cryptography and Data Security (10 papers), Privacy-Preserving Technologies in Data (4 papers), Chaos-based Image/Signal Encryption (3 papers), Blockchain Technology Applications and Security (3 papers), Cloud Data Security Solutions (3 papers), Quantum Computing Algorithms and Architecture (3 papers), VLSI and FPGA Design Techniques (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Artificial Intelligence (116 citations), Information Systems (44 citations), Computational Theory and Mathematics (21 citations), Hardware and Architecture (7 citations) and Computer Networks and Communications (17 citations). Sebastian Ramacher has collaborated with scholars based in Austria, Germany and Slovenia. Frequent co-authors include Daniel Slamanig, David Derler, Greg Zaverucha, Christian Rechberger, Steven Goldfeder, Claudio Orlandi, Melissa Chase, Daniel Kales, Paul James and Christoph Striecks. Their work appears in journals such as Journal of Cryptology, Entropy and Zenodo (CERN European Organization for Nuclear Research).
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.