Francesco Cricri
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- Advanced Image Processing Techniques 16
- Image and Signal Denoising Methods 10
- Advanced Data Compression Techniques 10
- Advanced Vision and Imaging 9
- Video Analysis and Summarization 8
- Human Pose and Action Recognition 5
- Signal Processing top 5%
- Video Coding and Compression Technologies 9
- Music and Audio Processing 6
- Artificial Intelligence top 10%
- Co-authors
- Honglei ZhangEsa RahtuEmre AksuIgor D. D. CurcioHamed R. TavakoliÇağlar AytekinMiska M. HannukselaMoncef Gabbouj
In The Last Decade
Francesco Cricri
36 papers receiving 462 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 375
- Signal Processing 126
- Human-Computer Interaction 18
- Artificial Intelligence 93
- Computer Graphics and Computer-Aided Design 10
Countries citing papers authored by Francesco Cricri
This map shows the geographic impact of Francesco Cricri'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 Francesco Cricri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Cricri more than expected).
Fields of papers citing papers by Francesco Cricri
This network shows the impact of papers produced by Francesco Cricri. 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 Francesco Cricri. The network helps show where Francesco Cricri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Cricri, 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 | 2024 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 75 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 7 | |
| 13 | 2020 | 15 | |
| 14 | Compressing Weight-updates for Image Artifacts Removal Neural Networks | 2019 | 1 |
| 15 | A Compression Objective and a Cycle Loss for Neural Image Compression | 2019 | 2 |
| 16 | Block-optimized Variable Bit Rate Neural Image Compression | 2018 | 3 |
| 17 | 2018 | 60 | |
| 18 | 2014 | 27 | |
| 19 | Sensor-based analysis of user generated video for multi-camera video remixing | 2012 | 1 |
| 20 | 2011 | 21 |
About Francesco Cricri
Francesco Cricri is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 42 papers that have together received 478 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (16 papers), Image and Signal Denoising Methods (10 papers), Advanced Data Compression Techniques (10 papers), Video Coding and Compression Technologies (9 papers), Advanced Vision and Imaging (9 papers), Video Analysis and Summarization (8 papers), Music and Audio Processing (6 papers) and Human Pose and Action Recognition (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (375 citations), Signal Processing (126 citations) and Human-Computer Interaction (18 citations). Francesco Cricri has collaborated with scholars based in Finland, Austria and Germany. Frequent co-authors include Honglei Zhang, Esa Rahtu, Emre Aksu, Igor D. D. Curcio, Hamed R. Tavakoli, Çağlar Aytekin, Miska M. Hannuksela, Moncef Gabbouj, Lixin Fan and Yanlin Qian. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Multimedia and Multimedia Tools and Applications.
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.