Markus Schofnegger

565 citations
9 papers · 90 · h-index 5

Impact in

    • Cryptography and Data Security
    • Cryptographic Implementations and Security
    • Coding theory and cryptography
    • Privacy-Preserving Technologies in Data
    • Physical Unclonable Functions (PUFs) and Hardware Security

Papers in

Markus Schofnegger

9 papers receiving 88 citations

Peers

Markus Schofnegger
Comparison fields: 5 of 16
  • Artificial Intelligence 71
  • Hardware and Architecture 9
  • Information Systems 27
  • Computer Vision and Pattern Recognition 15
  • Computational Theory and Mathematics 10
Replace Simona Samardjiska with:
Simona Samardjiska Netherlands
Abdelrahaman Aly Belgium
Nina Bindel Germany
Nicholas Genise United States
Joost Renes Netherlands
Daniel Apon United States
Alex J. Malozemoff United States
Shi Bai United States
Christine van Vredendaal Netherlands
Sebastian Ramacher Austria
Markus Schofnegger relative to Simona Samardjiska Netherlands Simona Samardjiska's profile →
Citations per field
00.5×1.6×
Simona Samardjiska · 1×
Citations per year

Countries citing papers authored by Markus Schofnegger

Since Specialization
Citations

This map shows the geographic impact of Markus Schofnegger'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 Markus Schofnegger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Schofnegger more than expected).

Fields of papers citing papers by Markus Schofnegger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Schofnegger. 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 Markus Schofnegger. The network helps show where Markus Schofnegger may publish in the future.

Co-authors

The 13 scholars most cited alongside Markus Schofnegger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Schofnegger Line = papers co-authored together Markus Schofnegger links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Poseidon: A New Hash Function for Zero-Knowledge Proof Systems
201941
2 202318
3 20229
4 20217
5 20227
6 20224
7 20222
8 20241
9 20221

About Markus Schofnegger

Markus Schofnegger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Electrical and Electronic Engineering and Infectious Diseases, having authored 9 papers that have together received 90 indexed citations. Recurring topics across this work include Coding theory and cryptography (7 papers), Cryptographic Implementations and Security (7 papers), Cryptography and Data Security (5 papers), graph theory and CDMA systems (2 papers), Chaos-based Image/Signal Encryption (2 papers), Quantum-Dot Cellular Automata (1 paper), Complexity and Algorithms in Graphs (1 paper) and Quantum Computing Algorithms and Architecture (1 paper). The work is most often cited by research in Artificial Intelligence (71 citations), Hardware and Architecture (9 citations), Information Systems (27 citations), Computer Vision and Pattern Recognition (15 citations) and Computational Theory and Mathematics (10 citations). Markus Schofnegger has collaborated with scholars based in Austria, Netherlands and Germany. Frequent co-authors include Christian Rechberger, Lorenzo Grassi, Dmitry Khovratovich, Arnab Roy, Christoph Dobraunig, Daniel Kales, Greg Zaverucha, Sondre Rønjom, Carlos Cid and Orr Dunkelman. Their work appears in journals such as IACR Transactions on Symmetric Cryptology, IACR Transactions on Cryptographic Hardware and Embedded Systems, Designs Codes and Cryptography, Data Archiving and Networked Services (DANS) and Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

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.

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