Thorben Moos

428 total citations
23 papers, 173 citations indexed

About

Thorben Moos is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thorben Moos has authored 23 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Hardware and Architecture, 18 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thorben Moos's work include Physical Unclonable Functions (PUFs) and Hardware Security (18 papers), Cryptographic Implementations and Security (15 papers) and Security and Verification in Computing (9 papers). Thorben Moos is often cited by papers focused on Physical Unclonable Functions (PUFs) and Hardware Security (18 papers), Cryptographic Implementations and Security (15 papers) and Security and Verification in Computing (9 papers). Thorben Moos collaborates with scholars based in Germany, Belgium and United States. Thorben Moos's co-authors include Amir Moradi, François‐Xavier Standaert, Tobias Schneider, Naghmeh Karimi, Shahram Rasoolzadeh, Gregor Leander, Christof Paar, Gaëtan Cassiers, Sayandeep Saha and Falk Schellenberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Sciences and IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

In The Last Decade

Thorben Moos

18 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thorben Moos Germany	8	142	123	55	39	37	23	173
Olivier Bronchain Belgium	8	125 0.9×	70 0.6×	56 1.0×	19 0.5×	32 0.9×	22	143
Shahram Rasoolzadeh Germany	6	158 1.1×	63 0.5×	82 1.5×	23 0.6×	31 0.8×	13	168
Khoongming Khoo Singapore	6	198 1.4×	81 0.7×	74 1.3×	69 1.8×	14 0.4×	15	206
George Provelengios United States	10	186 1.3×	189 1.5×	56 1.0×	98 2.5×	50 1.4×	15	261
Begül Bilgin Belgium	10	241 1.7×	147 1.2×	114 2.1×	37 0.9×	52 1.4×	26	255
Dina Kamel Belgium	8	107 0.8×	106 0.9×	42 0.8×	75 1.9×	14 0.4×	15	174
Christophe Clavier France	7	132 0.9×	77 0.6×	63 1.1×	34 0.9×	31 0.8×	11	164
Pascal Sasdrich Germany	10	196 1.4×	113 0.9×	65 1.2×	31 0.8×	43 1.2×	27	213
Robert Primas Austria	10	286 2.0×	181 1.5×	124 2.3×	32 0.8×	83 2.2×	20	306
Sonia Belaïd France	6	153 1.1×	77 0.6×	62 1.1×	10 0.3×	39 1.1×	10	162

Countries citing papers authored by Thorben Moos

Since Specialization

Citations

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

Fields of papers citing papers by Thorben Moos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorben Moos

This figure shows the co-authorship network connecting the top 25 collaborators of Thorben Moos. A scholar is included among the top collaborators of Thorben Moos 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 Thorben Moos. Thorben Moos 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

Moos, Thorben, et al.. (2024). Static Leakage in Dual-Rail Precharge Logics. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2024(4). 509–540.

Moos, Thorben, Sayandeep Saha, & François‐Xavier Standaert. (2024). Prime Masking vs. Faults - Exponential Security Amplification against Selected Classes of Attacks. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2024(4). 690–736.

Cassiers, Gaëtan, et al.. (2024). Randomness Generation for Secure Hardware Masking – Unrolled Trivium to the Rescue. SPIRE - Sciences Po Institutional REpository. 4 indexed citations

Güneysu, Tim, et al.. (2023). Combined Private Circuits - Combined Security Refurbished. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 990–1004. 3 indexed citations

Moos, Thorben, et al.. (2023). Red Team vs. Blue Team: A Real-World Hardware Trojan Detection Case Study Across Four Modern CMOS Technology Generations. 56–74. 6 indexed citations

Cassiers, Gaëtan, et al.. (2023). Prime-Field Masking in Hardware and its Soundness against Low-Noise SCA Attacks. IACR Transactions on Cryptographic Hardware and Embedded Systems. 482–518.

Moos, Thorben, et al.. (2022). Beware of Insufficient Redundancy. IACR Transactions on Cryptographic Hardware and Embedded Systems. 438–462. 1 indexed citations

Moos, Thorben, et al.. (2021). DL-LA: Deep Learning Leakage Assessment. IACR Transactions on Cryptographic Hardware and Embedded Systems. 552–598. 20 indexed citations

Moos, Thorben & Amir Moradi. (2021). Countermeasures against Static Power Attacks. IACR Transactions on Cryptographic Hardware and Embedded Systems. 780–805. 4 indexed citations

10.

Moos, Thorben, et al.. (2021). Let’s Take it Offline: Boosting Brute-Force Attacks on iPhone’s User Authentication through SCA. IACR Transactions on Cryptographic Hardware and Embedded Systems. 496–519. 12 indexed citations

11.

Moos, Thorben, et al.. (2021). Balancing the Leakage Currents in Nanometer CMOS Logic—A Challenging Goal. Applied Sciences. 11(15). 7143–7143. 2 indexed citations

12.

Moos, Thorben. (2020). Unrolled Cryptography on Silicon. IACR Transactions on Cryptographic Hardware and Embedded Systems. 416–442. 1 indexed citations

13.

Moos, Thorben. (2020). Unrolled Cryptography on Silicon. SHILAP Revista de lepidopterología.

14.

Moos, Thorben, Amir Moradi, Tobias Schneider, & François‐Xavier Standaert. (2019). Glitch-Resistant Masking Revisited. IACR Transactions on Cryptographic Hardware and Embedded Systems. 256–292. 26 indexed citations

15.

Moos, Thorben, Amir Moradi, Tobias Schneider, & François‐Xavier Standaert. (2019). Glitch-Resistant Masking Revisited. SHILAP Revista de lepidopterología. 7 indexed citations

16.

Moos, Thorben. (2019). Static Power SCA of Sub-100 nm CMOS ASICs and the Insecurity of Masking Schemes in Low-Noise Environments. SHILAP Revista de lepidopterología. 3 indexed citations

17.

Moos, Thorben, et al.. (2019). Static Power Side-Channel Analysis—An Investigation of Measurement Factors. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 28(2). 376–389. 23 indexed citations

18.

Karimi, Naghmeh, Thorben Moos, & Amir Moradi. (2019). Exploring the Effect of Device Aging on Static Power Analysis Attacks. IACR Transactions on Cryptographic Hardware and Embedded Systems. 233–256. 13 indexed citations

19.

Moos, Thorben. (2019). Static Power SCA of Sub-100 nm CMOS ASICs and the Insecurity of Masking Schemes in Low-Noise Environments. IACR Transactions on Cryptographic Hardware and Embedded Systems. 202–232. 11 indexed citations

20.

Moos, Thorben, et al.. (2017). Static power side-channel analysis of a threshold implementation prototype chip. 1324–1329. 16 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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