Thijs Veugen

962 citations
35 papers · 540 indexed · h-index 13
Topics
Cryptography and Data Security (27 papers)Privacy-Preserving Technologies in Data (22 papers)Complexity and Algorithms in Graphs (8 papers)
Partner nations
NetherlandsDenmarkItaly

In The Last Decade

Thijs Veugen

32 papers receiving 504 citations

Peers

Thijs Veugen
Comparison fields: 5 of 67
  • Artificial Intelligence 440
  • Information Systems 171
  • Sociology and Political Science 81
  • Computer Vision and Pattern Recognition 79
  • Computational Theory and Mathematics 76
Replace Geetha Jagannathan with:
Geetha Jagannathan United States
Mukund Sundararajan United States
Immanuel Trummer United States
Ganesh Ramakrishnan India
Mohammad Yahya H. Al-Shamri Saudi Arabia
Jesper Buus Nielsen Denmark
Peeter Laud Estonia
Pranjal Awasthi United States
Peter Rindal United States
Yantao Jia China
Thijs Veugen relative to Geetha Jagannathan United States Geetha Jagannathan's profile →
Citations per field
00.5×10.7×
Geetha Jagannathan · 1×
Citations per year

Countries citing papers authored by Thijs Veugen

Since Specialization
Citations

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

Fields of papers citing papers by Thijs Veugen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thijs Veugen

This figure shows the co-authorship network connecting the top 25 collaborators of Thijs Veugen. A scholar is included among the top collaborators of Thijs Veugen 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 Veugen. Thijs Veugen 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
#WorkIndexed citations
1 0
2 6
3 1
4 2
5 4
6
Privacy Preserving Computation - Introduction to the Special Theme.
1
7 28
8 3
9 2
10 5
11 3
12 3
13 3
14 7
15 26
16
Privacy-Preserving Content-Based Recommendations through Homomorphic Encryption
2
17 148
18 24
19 31
20 0

About Thijs Veugen

Thijs Veugen is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 540 indexed citations. Recurring topics across this work include Cryptography and Data Security (27 papers), Privacy-Preserving Technologies in Data (22 papers) and Complexity and Algorithms in Graphs (8 papers). The work is most often cited by research in Artificial Intelligence (440 citations), Information Systems (171 citations) and Computer Science Applications (26 citations). Thijs Veugen has collaborated with scholars based in Netherlands, Denmark and Italy. Frequent co-authors include Zekeriya Erkin, Reginald L. Lagendijk, Tomas Toft, Frank Müller, Ronald Cramer, Wessel Kraaij, Alessandro Piva, Mauro Barni, Tiziano Bianchi and Onno van der Galiën. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and IEEE Transactions on Information Forensics and Security.

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

Rankless by CCL
2026