Silvia Lameri
Impact in
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- Digital Media Forensic Detection
- Advanced Steganography and Watermarking Techniques
- Generative Adversarial Networks and Image Synthesis
- Video Analysis and Summarization
- Biophysics top 10%
Papers in
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- Video Analysis and Summarization 6
- Digital Media Forensic Detection 6
- Advanced Image and Video Retrieval Techniques 3
- Advanced Steganography and Watermarking Techniques 3
- Generative Adversarial Networks and Image Synthesis 2
- Law 2
- Law in Society and Culture 2
- Co-authors
- Stefano Tubaro (9 shared papers)Paolo Bestagini (8 shared papers)Luca Bondi (3 shared papers)David Güera (1 shared paper)Edward J. Delp (1 shared paper)Federico Lombardi (1 shared paper)Maurizio Lualdi (1 shared paper)Anderson Rocha (3 shared papers)
- Journals
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (8 papers)UCL Discovery (University College London) (1 paper)
- Partner nations
- ItalyBrazilUnited States
In The Last Decade
Silvia Lameri
9 papers receiving 311 citations
Peers
Comparison fields: 5 of 40
- Computer Vision and Pattern Recognition 221
- Biophysics 33
- Ocean Engineering 88
- Media Technology 47
- Geophysics 49
Countries citing papers authored by Silvia Lameri
This map shows the geographic impact of Silvia Lameri'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 Silvia Lameri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Lameri more than expected).
Fields of papers citing papers by Silvia Lameri
This network shows the impact of papers produced by Silvia Lameri. 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 Silvia Lameri. The network helps show where Silvia Lameri may publish in the future.
Co-authors
The 15 scholars most cited alongside Silvia Lameri, 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 | 2017 | 152 | |
| 2 | 2017 | 95 | |
| 3 | 2014 | 21 | |
| 4 | 2015 | 17 | |
| 5 | 2016 | 13 | |
| 6 | 2017 | 6 | |
| 7 | 2015 | 6 | |
| 8 | 2017 | 6 | |
| 9 | 2016 | 4 |
About Silvia Lameri
Silvia Lameri is a scholar working on Computer Vision and Pattern Recognition, Law, Ocean Engineering, Signal Processing and Artificial Intelligence, having authored 9 papers that have together received 320 indexed citations. Recurring topics across this work include Video Analysis and Summarization (6 papers), Digital Media Forensic Detection (6 papers), Advanced Image and Video Retrieval Techniques (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Law in Society and Culture (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Video Coding and Compression Technologies (1 paper) and Geophysical and Geoelectrical Methods (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (221 citations), Biophysics (33 citations), Ocean Engineering (88 citations), Media Technology (47 citations) and Geophysics (49 citations). Silvia Lameri has collaborated with scholars based in Italy, Brazil and United States. Frequent co-authors include Stefano Tubaro, Paolo Bestagini, Luca Bondi, David Güera, Edward J. Delp, Federico Lombardi, Maurizio Lualdi, Anderson Rocha, Marco Tagliasacchi and Zanoni Dias. Their work appears in journals such as Virtual Community of Pathological Anatomy (University of Castilla La Mancha) and UCL Discovery (University College London).
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.