Lorenz Panny
Impact in
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- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Cryptography and Data Security
- Cryptographic Implementations and Security
- Privacy-Preserving Technologies in Data
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- Chaos-based Image/Signal Encryption
Papers in
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- Cryptography and Data Security 1
- Quantum Computing Algorithms and Architecture 1
- Coding theory and cryptography 1
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- Pharmacological Effects and Toxicity Studies 1
- Co-authors
- Ward Beullens (1 shared paper)Jan-Pieter D’Anvers (1 shared paper)Andreas Hülsing (1 shared paper)Tanja Lange (1 shared paper)Nigel P. Smart (1 shared paper)Christophe Petit (1 shared paper)
- Journals
- Data Archiving and Networked Services (DANS) (2 papers)University of Birmingham Research Portal (University of Birmingham) (1 paper)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Lorenz Panny
2 papers receiving 18 citations
Peers
Comparison fields: 5 of 13
- Artificial Intelligence 15
- Computer Vision and Pattern Recognition 4
- Computer Networks and Communications 4
- Information Systems and Management 1
- Computational Theory and Mathematics 2
Countries citing papers authored by Lorenz Panny
This map shows the geographic impact of Lorenz Panny'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 Lorenz Panny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenz Panny more than expected).
Fields of papers citing papers by Lorenz Panny
This network shows the impact of papers produced by Lorenz Panny. 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 Lorenz Panny. The network helps show where Lorenz Panny may publish in the future.
Co-authors
The 6 scholars most cited alongside Lorenz Panny, 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 | 2021 | 20 | |
| 2 | Cryptography on Isogeny Graphs | 2021 | 1 |
| 3 | 2025 | 0 |
About Lorenz Panny
Lorenz Panny is a scholar working on Artificial Intelligence, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 3 papers that have together received 21 indexed citations. Recurring topics across this work include Pharmacological Effects and Toxicity Studies (1 paper), Cryptography and Data Security (1 paper), Asymmetric Hydrogenation and Catalysis (1 paper), Medical Imaging Techniques and Applications (1 paper), Quantum Computing Algorithms and Architecture (1 paper), Coding theory and cryptography (1 paper), graph theory and CDMA systems (1 paper) and Graph Labeling and Dimension Problems (1 paper). The work is most often cited by research in Artificial Intelligence (15 citations), Computer Vision and Pattern Recognition (4 citations), Computer Networks and Communications (4 citations), Information Systems and Management (1 citation) and Computational Theory and Mathematics (2 citations). Lorenz Panny has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Ward Beullens, Jan-Pieter D’Anvers, Andreas Hülsing, Tanja Lange, Nigel P. Smart and Christophe Petit. Their work appears in journals such as Data Archiving and Networked Services (DANS) and University of Birmingham Research Portal (University of Birmingham).
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.