Wouter Lueks
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Privacy-Preserving Technologies in Data 8
- Cryptography and Data Security 8
- Internet Traffic Analysis and Secure E-voting 8
-
- COVID-19 Digital Contact Tracing 4
- User Authentication and Security Systems 1
- Co-authors
- Barbara Hammer (4 shared papers)Bassam Mokbel (4 shared papers)Andrej Gisbrecht (3 shared papers)Henk Bekker (1 shared paper)Tobias Isenberg (1 shared paper)Carmela Troncoso (9 shared papers)Marcel Salathé (4 shared papers)Edouard Bugnion (3 shared papers)
- Journals
- Swiss Medical Weekly (1 paper)Communications of the ACM (1 paper)Computer Graphics Forum (1 paper)Computers & Security (1 paper)Neurocomputing (1 paper)
- Partner nations
- NetherlandsGermanySwitzerland
In The Last Decade
Wouter Lueks
18 papers receiving 259 citations
Peers
Comparison fields: 5 of 71
- Modeling and Simulation 37
- Computer Graphics and Computer-Aided Design 16
- Information Systems 103
- Computer Vision and Pattern Recognition 80
- Biophysics 17
Countries citing papers authored by Wouter Lueks
This map shows the geographic impact of Wouter Lueks'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 Wouter Lueks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Lueks more than expected).
Fields of papers citing papers by Wouter Lueks
This network shows the impact of papers produced by Wouter Lueks. 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 Wouter Lueks. The network helps show where Wouter Lueks may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Lueks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 94 | |
| 2 | 2013 | 54 | |
| 3 | 2011 | 43 | |
| 4 | 2022 | 14 | |
| 5 | 2016 | 11 | |
| 6 | 2021 | 10 | |
| 7 | Out-of-sample kernel extensions for nonparametric dimensionality reduction | 2012 | 8 |
| 8 | 2021 | 7 | |
| 9 | Workshop New Challenges in Neural Computation | 2011 | 6 |
| 10 | 2019 | 4 | |
| 11 | DatashareNetwork: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists. | 2020 | 3 |
| 12 | 2023 | 3 | |
| 13 | VoteAgain: A scalable coercion-resistant voting system | 2020 | 2 |
| 14 | 2016 | 2 | |
| 15 | 2023 | 1 | |
| 16 | Visualizing the quality of dimensionality reduction | 2012 | 1 |
| 17 | Ad Hoc Voting on Mobile Devices | 2013 | 1 |
| 18 | 2024 | 1 |
About Wouter Lueks
Wouter Lueks is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Sociology and Political Science and General Health Professions, having authored 18 papers that have together received 265 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (8 papers), Cryptography and Data Security (8 papers), Internet Traffic Analysis and Secure E-voting (8 papers), COVID-19 Digital Contact Tracing (4 papers), Privacy, Security, and Data Protection (4 papers), Data Visualization and Analytics (3 papers), User Authentication and Security Systems (1 paper) and Image and Video Quality Assessment (1 paper). The work is most often cited by research in Modeling and Simulation (37 citations), Computer Graphics and Computer-Aided Design (16 citations), Information Systems (103 citations), Computer Vision and Pattern Recognition (80 citations) and Biophysics (17 citations). Wouter Lueks has collaborated with scholars based in Netherlands, Germany and Switzerland. Frequent co-authors include Barbara Hammer, Bassam Mokbel, Andrej Gisbrecht, Henk Bekker, Tobias Isenberg, Carmela Troncoso, Marcel Salathé, Edouard Bugnion, Mathias Payer and James R. Larus. Their work appears in journals such as Swiss Medical Weekly, Communications of the ACM, Computer Graphics Forum, Computers & Security and Neurocomputing.
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.