Markus Schofnegger

565 total citations
9 papers, 90 citations indexed

About

Markus Schofnegger is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Markus Schofnegger has authored 9 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Computational Theory and Mathematics. Recurrent topics in Markus Schofnegger's work include Cryptographic Implementations and Security (7 papers), Coding theory and cryptography (7 papers) and Cryptography and Data Security (5 papers). Markus Schofnegger is often cited by papers focused on Cryptographic Implementations and Security (7 papers), Coding theory and cryptography (7 papers) and Cryptography and Data Security (5 papers). Markus Schofnegger collaborates with scholars based in Austria, Netherlands and Germany. Markus Schofnegger's co-authors include Lorenzo Grassi, Christian Rechberger, Dmitry Khovratovich, Arnab Roy, Christoph Dobraunig, Daniel Kales, Sondre Rønjom, Greg Zaverucha, Maria Eichlseder and Gaëtan Leurent and has published in prestigious journals such as Designs Codes and Cryptography, IACR Transactions on Cryptographic Hardware and Embedded Systems and IACR Transactions on Symmetric Cryptology.

In The Last Decade

Markus Schofnegger

9 papers receiving 88 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Markus Schofnegger Austria	5	71	27	19	15	10	9	90
Simona Samardjiska Netherlands	5	78 1.1×	17 0.6×	13 0.7×	19 1.3×	15 1.5×	10	93
Nicholas Genise United States	1	89 1.3×	39 1.4×	13 0.7×	17 1.1×	10 1.0×	2	106
Nina Bindel Germany	7	86 1.2×	33 1.2×	9 0.5×	19 1.3×	12 1.2×	11	105
Daniel Apon United States	4	70 1.0×	18 0.7×	12 0.6×	13 0.9×	11 1.1×	7	80
Abdelrahaman Aly Belgium	5	76 1.1×	26 1.0×	17 0.9×	16 1.1×	4 0.4×	7	95
Alex J. Malozemoff United States	8	73 1.0×	19 0.7×	12 0.6×	10 0.7×	14 1.4×	11	88
Joost Renes Netherlands	5	69 1.0×	46 1.7×	8 0.4×	20 1.3×	6 0.6×	10	81
Shi Bai United States	5	49 0.7×	27 1.0×	8 0.4×	11 0.7×	15 1.5×	15	66
Christine van Vredendaal Netherlands	6	77 1.1×	26 1.0×	8 0.4×	30 2.0×	9 0.9×	10	94
Satoshi Obana Japan	5	44 0.6×	18 0.7×	18 0.9×	9 0.6×	11 1.1×	17	57

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-authorship network of co-authors of Markus Schofnegger

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Schofnegger. A scholar is included among the top collaborators of Markus Schofnegger based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Schofnegger. Markus Schofnegger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Grassi, Lorenzo, et al.. (2024). Monolith: Circuit-Friendly Hash Functions with New Nonlinear Layers for Fast and Constant-Time Implementations. IACR Transactions on Symmetric Cryptology. 2024(3). 44–83. 1 indexed citations

Dobraunig, Christoph, et al.. (2023). Pasta: A Case for Hybrid Homomorphic Encryption. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2023(3). 30–73. 18 indexed citations

Grassi, Lorenzo, Dmitry Khovratovich, Sondre Rønjom, & Markus Schofnegger. (2022). The Legendre Symbol and the Modulo-2 Operator in Symmetric Schemes over Fnp. IACR Transactions on Symmetric Cryptology. 5–37. 4 indexed citations

Cid, Carlos, et al.. (2022). Influence of the Linear Layer on the Algebraic Degree in SP-Networks. IACR Transactions on Symmetric Cryptology. 110–137. 2 indexed citations

Grassi, Lorenzo, et al.. (2022). Reinforced Concrete. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 1323–1335. 9 indexed citations

Dobraunig, Christoph, Daniel Kales, Christian Rechberger, Markus Schofnegger, & Greg Zaverucha. (2022). Shorter Signatures Based on Tailor-Made Minimalist Symmetric-Key Crypto. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 843–857. 7 indexed citations

Dunkelman, Orr, Maria Eichlseder, Daniel Kales, et al.. (2022). Practical key recovery attacks on FlexAEAD. Designs Codes and Cryptography. 90(4). 983–1007. 1 indexed citations

Grassi, Lorenzo, Christian Rechberger, & Markus Schofnegger. (2021). Proving Resistance Against Infinitely Long Subspace Trails: How to Choose the Linear Layer. IACR Transactions on Symmetric Cryptology. 314–352. 7 indexed citations

Grassi, Lorenzo, Dmitry Khovratovich, Christian Rechberger, Arnab Roy, & Markus Schofnegger. (2019). Poseidon: A New Hash Function for Zero-Knowledge Proof Systems. Data Archiving and Networked Services (DANS). 519–535. 41 indexed citations

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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