Jan-Pieter D’Anvers

877 citations
14 papers · 233 indexed · h-index 9

Jan-Pieter D’Anvers

13 papers receiving 226 citations

Peers

Jan-Pieter D’Anvers
Comparison fields: 5 of 16
  • Hardware and Architecture 44
  • Artificial Intelligence 190
  • Computer Vision and Pattern Recognition 88
  • Computational Theory and Mathematics 31
  • Information Systems 42
Replace Michiel Van Beirendonck with:
Michiel Van Beirendonck Belgium
Prasanna Ravi Singapore
Tim Fritzmann Germany
Anubhab Baksi Singapore
Joost Rijneveld Netherlands
Stefan Kölbl Japan
Angshuman Karmakar Belgium
Christina Boura France
Paweł Morawiecki Poland
Louis Goubin France
Jan-Pieter D’Anvers relative to Michiel Van Beirendonck Belgium Michiel Van Beirendonck's profile →
Citations per field
00.5×1.5×
Michiel Van Beirendonck · 1×
Citations per year

Countries citing papers authored by Jan-Pieter D’Anvers

Since Specialization
Citations

This map shows the geographic impact of Jan-Pieter D’Anvers'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 Jan-Pieter D’Anvers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan-Pieter D’Anvers more than expected).

Fields of papers citing papers by Jan-Pieter D’Anvers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan-Pieter D’Anvers. 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 Jan-Pieter D’Anvers. The network helps show where Jan-Pieter D’Anvers may publish in the future.

Co-authorship network

The 19 scholars most cited alongside Jan-Pieter D’Anvers, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan-Pieter D’Anvers Line = papers co-authored together Jan-Pieter D’Anvers links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 20242
2 202317
3 20238
4 20234
5 202334
6 20228
7 202214
8 20217
9 202132
10 202120
11 202144
12 20200
13 202018
14 201925

About Jan-Pieter D’Anvers

Jan-Pieter D’Anvers is a scholar working on Artificial Intelligence, Hardware and Architecture and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 233 indexed citations. Recurring topics across this work include Cryptography and Data Security (12 papers), Cryptographic Implementations and Security (12 papers), Quantum Computing Algorithms and Architecture (4 papers), Chaos-based Image/Signal Encryption (3 papers), Coding theory and cryptography (3 papers), Security and Verification in Computing (2 papers), Cryptography and Residue Arithmetic (2 papers) and Privacy-Preserving Technologies in Data (1 paper). The work is most often cited by research in Hardware and Architecture (44 citations), Artificial Intelligence (190 citations) and Computer Vision and Pattern Recognition (88 citations). Jan-Pieter D’Anvers has collaborated with scholars based in Belgium, Singapore and Germany. Frequent co-authors include Ingrid Verbauwhede, Michiel Van Beirendonck, Josep Balasch, Angshuman Karmakar, Prasanna Ravi, Anupam Chattopadhyay, Anubhab Baksi, Shivam Bhasin, Fréderik Vercauteren and Thomas Pöppelmann. Their work appears in journals such as IEEE Transactions on Computers, ACM Transactions on Embedded Computing Systems and ACM Journal on Emerging Technologies in Computing Systems.

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