Lorenzo Grassi

1.5k total citations
21 papers, 235 citations indexed

About

Lorenzo Grassi is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lorenzo Grassi has authored 21 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 7 papers in Electrical and Electronic Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lorenzo Grassi's work include Coding theory and cryptography (14 papers), Cryptographic Implementations and Security (13 papers) and Cryptography and Data Security (7 papers). Lorenzo Grassi is often cited by papers focused on Coding theory and cryptography (14 papers), Cryptographic Implementations and Security (13 papers) and Cryptography and Data Security (7 papers). Lorenzo Grassi collaborates with scholars based in Austria, Netherlands and Italy. Lorenzo Grassi's co-authors include Christian Rechberger, Markus Schofnegger, Sondre Rønjom, Dmitry Khovratovich, U. Aglietti, Roberto Bonciani, E. Remiddi, Arnab Roy, Peter Schöll and Nigel P. Smart and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and IEEE Transactions on Circuits and Systems I Regular Papers.

In The Last Decade

Lorenzo Grassi

19 papers receiving 230 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lorenzo Grassi Austria 8 165 70 40 39 31 21 235
Andrea Di Biagio Italy 6 119 0.7× 49 0.7× 8 0.2× 21 0.5× 13 0.4× 15 208
Amr Aboshousha Egypt 8 134 0.8× 420 6.0× 20 0.5× 4 0.1× 13 0.4× 11 495
Noboru Kunihiro Japan 10 403 2.4× 38 0.5× 31 0.8× 16 0.4× 77 2.5× 62 440
Dhiraj Kalamkar United States 10 104 0.6× 77 1.1× 30 0.8× 211 5.4× 29 0.9× 21 339
Roman Iakymchuk Sweden 8 24 0.1× 9 0.1× 17 0.4× 99 2.5× 65 2.1× 24 213
Stephen Linton United Kingdom 11 115 0.7× 19 0.3× 53 1.3× 14 0.4× 16 0.5× 36 284
Andrew V. Sutherland United States 11 88 0.5× 10 0.1× 9 0.2× 7 0.2× 92 3.0× 28 252
Shenggen Zheng China 13 433 2.6× 10 0.1× 35 0.9× 17 0.4× 11 0.4× 49 474
Nicolas Bonichon France 7 27 0.2× 16 0.2× 9 0.2× 5 0.1× 12 0.4× 24 210
Justin Holewinski United States 6 48 0.3× 43 0.6× 30 0.8× 226 5.8× 22 0.7× 8 289

Countries citing papers authored by Lorenzo Grassi

Since Specialization
Citations

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

Fields of papers citing papers by Lorenzo Grassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lorenzo Grassi

This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Grassi. A scholar is included among the top collaborators of Lorenzo Grassi 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 Lorenzo Grassi. Lorenzo Grassi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Grassi, Lorenzo, et al.. (2025). Poseidon and Neptune: Gröbner Basis Cryptanalysis Exploiting Subspace Trails. IACR Transactions on Symmetric Cryptology. 2025(2). 34–86.
2.
Liu, Fukang, et al.. (2024). Opening the Blackbox: Collision Attacks on Round-Reduced Tip5, Tip4, Tip4’ and Monolith. IACR Transactions on Symmetric Cryptology. 2024(4). 97–137. 1 indexed citations
3.
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
4.
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
5.
Grassi, Lorenzo. (2023). Bounded Surjective Quadratic Functions over Fnp for MPC-/ZK-/FHE-Friendly Symmetric Primitives. IACR Transactions on Symmetric Cryptology. 94–131. 1 indexed citations
6.
Grassi, Lorenzo, et al.. (2022). Differential Trail Search in Cryptographic Primitives with Big-Circle Chi:. IACR Transactions on Symmetric Cryptology. 253–288. 1 indexed citations
7.
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
8.
Grassi, Lorenzo, et al.. (2022). Reinforced Concrete. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 1323–1335. 9 indexed citations
9.
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
10.
Grassi, Lorenzo, et al.. (2022). Invertible Quadratic Non-Linear Layers for MPC-/FHE-/ZK-Friendly Schemes over Fnp. IACR Transactions on Symmetric Cryptology. 20–72. 3 indexed citations
11.
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
12.
Grassi, Lorenzo & Christian Rechberger. (2020). Revisiting Gilbert’s known-key distinguisher. Designs Codes and Cryptography. 88(7). 1401–1445. 1 indexed citations
13.
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
14.
Grassi, Lorenzo. (2018). Mixture Differential Cryptanalysis: a New Approach to Distinguishers and Attacks on round-reduced AES. IACR Transactions on Symmetric Cryptology. 133–160. 32 indexed citations
15.
Grassi, Lorenzo, Christian Rechberger, & Sondre Rønjom. (2017). Subspace Trail Cryptanalysis and its Applications to AES. SHILAP Revista de lepidopterología. 2016(2). 192–225. 21 indexed citations
16.
Grassi, Lorenzo, Christian Rechberger, & Sondre Rønjom. (2017). Subspace Trail Cryptanalysis and its Applications to AES. IACR Transactions on Symmetric Cryptology. 192–225. 19 indexed citations
17.
Grassi, Lorenzo, Christian Rechberger, Dragos Rotaru, Peter Schöll, & Nigel P. Smart. (2016). MPC-Friendly Symmetric Key Primitives. Bristol Research (University of Bristol). 430–443. 24 indexed citations
18.
Grassi, Lorenzo, et al.. (2014). On the relativistic Lagrange-Laplace secular dynamics for extrasolar systems. Proceedings of the International Astronomical Union. 9(S310). 74–77. 2 indexed citations
19.
Aglietti, U., Roberto Bonciani, Lorenzo Grassi, & E. Remiddi. (2007). The two loop crossed ladder vertex diagram with two massive exchanges. Nuclear Physics B. 789(1-2). 45–83. 41 indexed citations
20.

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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