Didier Meuwly
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Genetics top 10%
- Safety Research top 5%
- Co-authors
- Christophe ChampodRudolf HaraksimDaniel RamosAndrzej DrygajloRaymond VeldhuisCédric NeumannAnil AlexanderLuuk Spreeuwers
- Topics
- Biometric Identification and Security (14 papers)Forensic and Genetic Research (11 papers)Forensic Fingerprint Detection Methods (10 papers)
- Journals
- Archives of Disease in ChildhoodIEEE Signal Processing LettersForensic Science International
- Partner nations
- NetherlandsSwitzerlandSpain
In The Last Decade
Didier Meuwly
33 papers receiving 690 citations
Peers
Comparison fields: 5 of 88
- Signal Processing 366
- Artificial Intelligence 336
- Computer Vision and Pattern Recognition 260
- Genetics 185
- Safety Research 118
Countries citing papers authored by Didier Meuwly
This map shows the geographic impact of Didier Meuwly'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 Didier Meuwly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Didier Meuwly more than expected).
Fields of papers citing papers by Didier Meuwly
This network shows the impact of papers produced by Didier Meuwly. 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 Didier Meuwly. The network helps show where Didier Meuwly may publish in the future.
Co-authorship network of co-authors of Didier Meuwly
This figure shows the co-authorship network connecting the top 25 collaborators of Didier Meuwly. A scholar is included among the top collaborators of Didier Meuwly 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 Didier Meuwly. Didier Meuwly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 47 | |
| 4 | 9 | |
| 5 | 23 | |
| 6 | 40 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 111 | |
| 10 | 17 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | Assignment of the evidential value of a fingermark general pattern using a Bayesian network | 3 |
| 14 | Forensic biometrics: From two communities to one discipline | 32 |
| 15 | 14 | |
| 16 | 60 | |
| 17 | 4 | |
| 18 | 45 | |
| 19 | Forensic speaker recognition: an evidence odyssey. | 2 |
| 20 | 7 |
About Didier Meuwly
Didier Meuwly is a scholar working on Signal Processing, Safety Research and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 757 indexed citations. Recurring topics across this work include Biometric Identification and Security (14 papers), Forensic and Genetic Research (11 papers) and Forensic Fingerprint Detection Methods (10 papers). The work is most often cited by research in Signal Processing (366 citations), Safety Research (118 citations) and Computer Vision and Pattern Recognition (260 citations). Didier Meuwly has collaborated with scholars based in Netherlands, Switzerland and Spain. Frequent co-authors include Christophe Champod, Rudolf Haraksim, Daniel Ramos, Andrzej Drygajlo, Raymond Veldhuis, Cédric Neumann, Anil Alexander, Luuk Spreeuwers, Roberto Puch‐Solis and Peter Vergeer. Their work appears in journals such as Archives of Disease in Childhood, IEEE Signal Processing Letters and Forensic Science International.
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.