Maria Eichlseder
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security 6
- Artificial Intelligence top 5%
- Cryptographic Implementations and Security 23
- Coding theory and cryptography 19
- Security and Verification in Computing 3
- Cryptography and Data Security 2
- Machine Learning and Algorithms 1
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- Chaos-based Image/Signal Encryption 11
- Signal Processing top 5%
- Advanced Malware Detection Techniques 2
- Co-authors
- Florian MendelChristoph DobraunigStefan MangardRobert PrimasMartin SchläfferThomas KorakThomas UnterluggauerDaniel Kales
- Journals
- IACR Transactions on Symmetric Cryptology (13 papers)IACR Transactions on Cryptographic Hardware and Embedded Systems (2 papers)Journal of Cryptology (1 paper)
- Partner nations
- AustriaNetherlandsGermany
In The Last Decade
Maria Eichlseder
26 papers receiving 530 citations
Peers
Comparison fields: 5 of 42
- Hardware and Architecture 232
- Artificial Intelligence 455
- Computer Vision and Pattern Recognition 240
- Signal Processing 108
- Computer Networks and Communications 71
Countries citing papers authored by Maria Eichlseder
This map shows the geographic impact of Maria Eichlseder'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 Maria Eichlseder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Eichlseder more than expected).
Fields of papers citing papers by Maria Eichlseder
This network shows the impact of papers produced by Maria Eichlseder. 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 Maria Eichlseder. The network helps show where Maria Eichlseder may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maria Eichlseder, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 9 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 27 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 4 | |
| 9 | 2021 | 7 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 18 | |
| 14 | 2020 | 10 | |
| 15 | 2018 | 54 | |
| 16 | 2018 | 4 | |
| 17 | 2017 | 11 | |
| 18 | 2017 | 28 | |
| 19 | 2017 | 8 | |
| 20 | Submission to the CAESAR Competition | 2014 | 13 |
About Maria Eichlseder
Maria Eichlseder is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 545 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (23 papers), Coding theory and cryptography (19 papers), Chaos-based Image/Signal Encryption (11 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers), Security and Verification in Computing (3 papers), Cryptography and Data Security (2 papers), Advanced Malware Detection Techniques (2 papers) and Machine Learning and Algorithms (1 paper). The work is most often cited by research in Hardware and Architecture (232 citations), Artificial Intelligence (455 citations) and Computer Vision and Pattern Recognition (240 citations). Maria Eichlseder has collaborated with scholars based in Austria, Netherlands and Germany. Frequent co-authors include Florian Mendel, Christoph Dobraunig, Stefan Mangard, Robert Primas, Martin Schläffer, Thomas Korak, Thomas Unterluggauer, Daniel Kales, Hannes Groß and Joan Daemen. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, IACR Transactions on Cryptographic Hardware and Embedded Systems, Journal of Cryptology, IEEE Transactions on Information Forensics and Security and Designs Codes and Cryptography.
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.