Peter Schwabe

7.0k total citations · 1 hit paper
34 papers, 1.2k citations indexed

About

Peter Schwabe is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Peter Schwabe has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Signal Processing. Recurrent topics in Peter Schwabe's work include Cryptographic Implementations and Security (21 papers), Cryptography and Data Security (13 papers) and Security and Verification in Computing (13 papers). Peter Schwabe is often cited by papers focused on Cryptographic Implementations and Security (21 papers), Cryptography and Data Security (13 papers) and Security and Verification in Computing (13 papers). Peter Schwabe collaborates with scholars based in Netherlands, Germany and United States. Peter Schwabe's co-authors include Léo Ducas, Daniel J. Bernstein, Bo‐Yin Yang, Tanja Lange, Erdem Alkım, Thomas Pöppelmann, Damien Stehlé, Eike Kiltz, Vadim Lyubashevsky and Tancrède Lepoint and has published in prestigious journals such as Lecture notes in computer science, Designs Codes and Cryptography and IACR Transactions on Cryptographic Hardware and Embedded Systems.

In The Last Decade

Peter Schwabe

29 papers receiving 1.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CRYSTALS-Dilithium: A Lattice-Based Digital Signature Scheme

2018 280 citations Léo Ducas, Eike Kiltz et al. IACR Transactions on Cryptographic Hardware and Embedded Systems profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Peter Schwabe	1.0k	453	263	249	127	34	1.2k
Serge Vaudenay	600 0.6×	293 0.6×	237 0.9×	296 1.2×	55 0.4×	97	864
Marc Jóye	1.6k 1.6×	866 1.9×	375 1.4×	261 1.0×	285 2.2×	73	1.9k
Elaine B. Barker	500 0.5×	187 0.4×	423 1.6×	200 0.8×	89 0.7×	25	836
Douglas Stebila	772 0.7×	428 0.9×	183 0.7×	454 1.8×	45 0.4×	58	1.0k
Michael Zohner	1.0k 1.0×	220 0.5×	109 0.4×	120 0.5×	62 0.5×	17	1.1k
Niels Ferguson	456 0.4×	199 0.4×	309 1.2×	269 1.1×	72 0.6×	11	808
Atsuko Miyaji	881 0.9×	570 1.3×	138 0.5×	296 1.2×	26 0.2×	162	1.1k
Miles E. Smid	439 0.4×	184 0.4×	407 1.5×	189 0.8×	69 0.5×	14	789
Frederik Armknecht	544 0.5×	322 0.7×	112 0.4×	270 1.1×	175 1.4×	54	859
Chaowen Guan	785 0.8×	564 1.2×	141 0.5×	389 1.6×	25 0.2×	21	1.2k

Countries citing papers authored by Peter Schwabe

Since Specialization

Citations

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

Fields of papers citing papers by Peter Schwabe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Schwabe

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

All Works

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20 of 20 papers shown

Barthe, Gilles, Chitchanok Chuengsatiansup, Benjamin Grégoire, et al.. (2025). Protecting Cryptographic Code Against Spectre-RSB: (and, in Fact, All Known Spectre Variants). SPIRE - Sciences Po Institutional REpository. 933–948.

Barbosa, Manuel, et al.. (2024). X-Wing. Radboud Repository (Radboud University). 4 indexed citations

Meyer, Michaël, et al.. (2024). Optimizations and Practicality of High-Security CSIDH. Radboud Repository (Radboud University). 6 indexed citations

Barthe, Gilles, Marcel Böhme, Chitchanok Chuengsatiansup, et al.. (2024). Testing Side-channel Security of Cryptographic Implementations against Future Microarchitectures. Radboud Repository (Radboud University). 1076–1090. 1 indexed citations

Alwen, Joël, et al.. (2023). Post-Quantum Multi-Recipient Public Key Encryption. Radboud Repository (Radboud University). 1108–1122. 2 indexed citations

Barthe, Gilles, Rubén González Crespo, Benjamin Grégoire, et al.. (2023). High-assurance zeroization. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2024(1). 375–397.

Barthe, Gilles, et al.. (2023). Typing High-Speed Cryptography against Spectre v1. SPIRE - Sciences Po Institutional REpository. 1094–1111. 13 indexed citations

Almeida, José Bacelar, Manuel Barbosa, Gilles Barthe, et al.. (2023). Formally verifying Kyber. IACR Transactions on Cryptographic Hardware and Embedded Systems. 164–193. 1 indexed citations

Barthe, Gilles, et al.. (2023). Spectre Declassified: Reading from the Right Place at the Wrong Time. Data Archiving and Networked Services (DANS). 1753–1770. 14 indexed citations

10.

Kannwischer, Matthias J., et al.. (2022). Improving Software Quality in Cryptography Standardization Projects. Radboud Repository (Radboud University). 19–30. 27 indexed citations

11.

Dowling, Benjamin, et al.. (2022). Post Quantum Noise. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 97–109. 2 indexed citations

12.

Batina, Lejla, et al.. (2022). SoK: SCA-secure ECC in software – mission impossible?. IACR Transactions on Cryptographic Hardware and Embedded Systems. 557–589. 2 indexed citations

13.

Schwabe, Peter, et al.. (2020). Post-Quantum TLS Without Handshake Signatures. Radboud Repository (Radboud University). 1461–1480. 58 indexed citations

14.

Schwabe, Peter & Nicolas Thériault. (2019). Progress in Cryptology – LATINCRYPT 2019: 6th International Conference on Cryptology and Information Security in Latin America, Santiago de Chile, Chile, October 2–4, 2019, Proceedings. Lecture notes in computer science. 2 indexed citations

15.

Kannwischer, Matthias J., et al.. (2019). pqm4: Testing and Benchmarking NIST PQC on ARM Cortex-M4. Data Archiving and Networked Services (DANS). 2019. 844. 62 indexed citations

16.

Schwabe, Peter, et al.. (2017). All the AES You Need on Cortex-M3 and M4. 180–194. 2 indexed citations

17.

Alkım, Erdem, Léo Ducas, Thomas Pöppelmann, & Peter Schwabe. (2015). Post-quantum key exchange - a new hope.. IACR Cryptology ePrint Archive. 2015. 1092–343. 178 indexed citations

18.

Chuengsatiansup, Chitchanok, et al.. (2014). PandA: Pairings and Arithmetic. Lecture notes in computer science. 229–250. 2 indexed citations

19.

Bernstein, Daniel J., et al.. (2012). High-speed high-security signatures. Journal of Cryptographic Engineering. 2(2). 77–89. 249 indexed citations

20.

Käsper, Emilia & Peter Schwabe. (2009). Faster and Timing-Attack Resistant AES-GCM. Lecture notes in computer science. 2009. 129. 33 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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