Thijs Laarhoven

1.4k total citations
13 papers, 236 citations indexed

About

Thijs Laarhoven is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thijs Laarhoven has authored 13 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 7 papers in Computational Theory and Mathematics and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thijs Laarhoven's work include Cryptography and Data Security (6 papers), Complexity and Algorithms in Graphs (4 papers) and semigroups and automata theory (3 papers). Thijs Laarhoven is often cited by papers focused on Cryptography and Data Security (6 papers), Complexity and Algorithms in Graphs (4 papers) and semigroups and automata theory (3 papers). Thijs Laarhoven collaborates with scholars based in Netherlands, Switzerland and United States. Thijs Laarhoven's co-authors include Alexandr Andoni, Ilya Razenshteyn, Ludwig Schmidt, Piotr Indyk, Joop van de Pol, Michele Mosca, Benne de Weger, Christian Bischof, Boris Škorić and Shi Bai and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Access.

In The Last Decade

Thijs Laarhoven

12 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thijs Laarhoven Netherlands 8 144 119 32 31 26 13 236
Kalikinkar Mandal Canada 9 132 0.9× 57 0.5× 34 1.1× 35 1.1× 22 0.8× 23 183
A.L. McKellips United States 5 53 0.4× 327 2.7× 56 1.8× 54 1.7× 12 0.5× 13 409
Fuad Jamour Saudi Arabia 9 201 1.4× 148 1.2× 32 1.0× 10 0.3× 49 1.9× 15 298
Christophe De Cannière Belgium 8 219 1.5× 164 1.4× 21 0.7× 23 0.7× 13 0.5× 17 250
Song Y. Yan United Kingdom 9 181 1.3× 61 0.5× 38 1.2× 52 1.7× 85 3.3× 34 255
Daniel Socek United States 10 170 1.2× 356 3.0× 15 0.5× 50 1.6× 50 1.9× 22 438
María Naya‐Plasencia France 8 315 2.2× 188 1.6× 41 1.3× 44 1.4× 36 1.4× 26 368
M. A. Eshera United States 4 93 0.6× 194 1.6× 32 1.0× 19 0.6× 19 0.7× 5 254
Carlos Cid United Kingdom 10 175 1.2× 94 0.8× 19 0.6× 44 1.4× 29 1.1× 33 239
Jyh-Jong Tsay Taiwan 8 82 0.6× 105 0.9× 67 2.1× 20 0.6× 31 1.2× 37 267

Countries citing papers authored by Thijs Laarhoven

Since Specialization
Citations

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

Fields of papers citing papers by Thijs Laarhoven

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thijs Laarhoven

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

All Works

13 of 13 papers shown
1.
Laarhoven, Thijs. (2020). Approximate Voronoi cells for lattices, revisited. SHILAP Revista de lepidopterología. 1 indexed citations
2.
Andoni, Alexandr, et al.. (2017). Optimal hashing-based time-space trade-offs for approximate near neighbors. arXiv (Cornell University). 47–66. 17 indexed citations
3.
Laarhoven, Thijs, et al.. (2017). A Parallel Variant of LDSieve for the SVP on Lattices. TUbilio (Technical University of Darmstadt). 23–30. 6 indexed citations
4.
Laarhoven, Thijs, et al.. (2017). A Practical View of the State-of-the-Art of Lattice-Based Cryptanalysis. IEEE Access. 5. 24184–24202. 9 indexed citations
5.
Bai, Shi, Thijs Laarhoven, & Damien Stehlé. (2016). Tuple lattice sieving. LMS Journal of Computation and Mathematics. 19(A). 146–162. 7 indexed citations
6.
Laarhoven, Thijs. (2016). Search problems in cryptography : from fingerprinting to lattice sieving. Data Archiving and Networked Services (DANS). 3 indexed citations
7.
Andoni, Alexandr, Piotr Indyk, Thijs Laarhoven, Ilya Razenshteyn, & Ludwig Schmidt. (2015). Practical and Optimal LSH for Angular Distance. TU/e Research Portal. 113 indexed citations
8.
Laarhoven, Thijs, Michele Mosca, & Joop van de Pol. (2015). Finding shortest lattice vectors faster using quantum search. Designs Codes and Cryptography. 77(2-3). 375–400. 41 indexed citations
9.
Bischof, Christian, et al.. (2015). Parallel (Probable) Lock-Free Hash Sieve: A Practical Sieving Algorithm for the SVP. TU/e Research Portal. 590–599. 10 indexed citations
10.
Doumen, Jeroen, et al.. (2014). Tuple decoders for traitor tracing schemes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9028. 90280C–90280C.
11.
Laarhoven, Thijs, et al.. (2013). Dynamic Tardos Traitor Tracing Schemes. IEEE Transactions on Information Theory. 59(7). 4230–4242. 13 indexed citations
12.
Laarhoven, Thijs & Benne de Weger. (2012). Optimal symmetric Tardos traitor tracing schemes. Designs Codes and Cryptography. 71(1). 83–103. 15 indexed citations
13.
Laarhoven, Thijs. (2009). The 3n + 1 conjecture. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2–4. 1 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kalikinkar Mandal Breakdown of academic impact, for papers by A.L. McKellips Breakdown of academic impact, for papers by Fuad Jamour Breakdown of academic impact, for papers by Christophe De Cannière Breakdown of academic impact, for papers by Song Y. Yan Breakdown of academic impact, for papers by Daniel Socek Breakdown of academic impact, for papers by María Naya‐Plasencia Breakdown of academic impact, for papers by M. A. Eshera Breakdown of academic impact, for papers by Carlos Cid Breakdown of academic impact, for papers by Jyh-Jong Tsay
Rankless by CCL
2026