Nicole Egli
- Genetics
- Safety Research top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Christophe ChampodRoberto Puch‐SolisCédric NeumannPierre MargotDidier MeuwlyMartin KilliasMarcelo F. AebiWilliams Mazzella
- Topics
- Biometric Identification and Security (4 papers)Forensic Fingerprint Detection Methods (4 papers)Forensic and Genetic Research (4 papers)
- Partner nations
- SwitzerlandUnited KingdomSpain
In The Last Decade
Nicole Egli
15 papers receiving 298 citations
Peers
Comparison fields: 5 of 73
- Genetics 155
- Safety Research 130
- Signal Processing 126
- Computer Vision and Pattern Recognition 52
- Artificial Intelligence 47
Countries citing papers authored by Nicole Egli
This map shows the geographic impact of Nicole Egli'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 Nicole Egli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole Egli more than expected).
Fields of papers citing papers by Nicole Egli
This network shows the impact of papers produced by Nicole Egli. 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 Nicole Egli. The network helps show where Nicole Egli may publish in the future.
Co-authorship network of co-authors of Nicole Egli
This figure shows the co-authorship network connecting the top 25 collaborators of Nicole Egli. A scholar is included among the top collaborators of Nicole Egli 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 Nicole Egli. Nicole Egli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | Investigation of the reproducibility of third-level characteristics | 9 |
| 7 | 4 | |
| 8 | Effects of Drug Substitution Programs on Offending Among Drug-Addicts: A Systematic Review | 9 |
| 9 | 19 | |
| 10 | Level 3 details and their role in fingerprint identification: A survey among practitioners | 14 |
| 11 | 60 | |
| 12 | 102 | |
| 13 | 64 | |
| 14 | 18 | |
| 15 | POTENTIAL USE OF FINGERPRINTS IN FORENSIC INTELLIGENCE: CRIME SCENE LINKING | 4 |
About Nicole Egli
Nicole Egli is a scholar working on Safety Research, Signal Processing and Geriatrics and Gerontology, having authored 15 papers that have together received 322 indexed citations. Recurring topics across this work include Biometric Identification and Security (4 papers), Forensic Fingerprint Detection Methods (4 papers) and Forensic and Genetic Research (4 papers). The work is most often cited by research in Safety Research (130 citations), Signal Processing (126 citations) and Genetics (155 citations). Nicole Egli has collaborated with scholars based in Switzerland, United Kingdom and Spain. Frequent co-authors include Christophe Champod, Roberto Puch‐Solis, Cédric Neumann, Pierre Margot, Didier Meuwly, Martin Killias, Marcelo F. Aebi, Williams Mazzella, Patrick Buzzini and Geneviève Massonnet. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research 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.