Andrea Casanova
- Signal Processing top 10%
- Biometric Identification and Security 3
- Building and Construction top 10%
- Civil and Structural Engineering top 10%
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- User Authentication and Security Systems 4
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- Image Retrieval and Classification Techniques 4
- Advanced Image and Video Retrieval Techniques 2
- Image and Signal Denoising Methods 1
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- Psychedelics and Drug Studies 2
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- Neural Networks and Applications 2
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- Gestational Diabetes Research and Management 1
- Co-authors
- Luc DavenneLudovic JasonSilvio BarraStefano RicciardiFabio NarducciClaudia FattuoniAntonio NotoDmitry Grapov
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Andrea Casanova
20 papers receiving 328 citations
Peers
Comparison fields: 5 of 83
- Biological Psychiatry 17
- Signal Processing 63
- Building and Construction 55
- Civil and Structural Engineering 73
- Human-Computer Interaction 18
Countries citing papers authored by Andrea Casanova
This map shows the geographic impact of Andrea Casanova'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 Andrea Casanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Casanova more than expected).
Fields of papers citing papers by Andrea Casanova
This network shows the impact of papers produced by Andrea Casanova. 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 Andrea Casanova. The network helps show where Andrea Casanova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea Casanova, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 20 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 16 | |
| 7 | 2021 | 2 | |
| 8 | 2019 | 8 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 22 | |
| 11 | 2014 | 88 | |
| 12 | 2014 | 32 | |
| 13 | 2014 | 5 | |
| 14 | 2014 | 49 | |
| 15 | 2012 | 76 | |
| 16 | 2011 | 1 | |
| 17 | Entropy Measure in Image Classification | 2010 | 1 |
| 18 | 2007 | 2 | |
| 19 | 2005 | 2 | |
| 20 | Hierarchical Entropy Approach for Image and Signals Retrieval. | 2002 | 0 |
About Andrea Casanova
Andrea Casanova is a scholar working on Signal Processing, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 336 indexed citations. Recurring topics across this work include User Authentication and Security Systems (4 papers), Image Retrieval and Classification Techniques (4 papers), Biometric Identification and Security (3 papers), Psychedelics and Drug Studies (2 papers), Neural Networks and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Gestational Diabetes Research and Management (1 paper) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Biological Psychiatry (17 citations), Signal Processing (63 citations) and Building and Construction (55 citations). Andrea Casanova has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Luc Davenne, Ludovic Jason, Silvio Barra, Stefano Ricciardi, Fabio Narducci, Claudia Fattuoni, Antonio Noto, Dmitry Grapov, Gianni Fenu and Luigi Barberini.
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.