Francesco Camastra
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- Handwritten Text Recognition Techniques 8
- Image Retrieval and Classification Techniques 7
- Image Processing and 3D Reconstruction 3
- Artificial Intelligence top 1%
- Neural Networks and Applications 12
- Anomaly Detection Techniques and Applications 3
- Media Technology top 2%
- Signal Processing top 5%
- Time Series Analysis and Forecasting 3
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- Chaos control and synchronization 6
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- Air Quality Monitoring and Forecasting 3
- Co-authors
- Alessandro VinciarelliMaurizio FilipponeFrancesco MasulliStefano RovettaAlessandro VerriAntonino StaianoAngelo CiaramellaAngelo Riccio
- Journals
- Ecological Informatics (3 papers)Pattern Recognition (3 papers)Neural Computing and Applications (3 papers)
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Francesco Camastra
35 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 779
- Artificial Intelligence 900
- Media Technology 234
- Signal Processing 223
- Statistical and Nonlinear Physics 144
Countries citing papers authored by Francesco Camastra
This map shows the geographic impact of Francesco Camastra'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 Camastra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Camastra more than expected).
Fields of papers citing papers by Francesco Camastra
This network shows the impact of papers produced by Francesco Camastra. 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 Camastra. The network helps show where Francesco Camastra may publish in the future.
Co-authorship network
The 17 scholars most cited alongside Francesco Camastra, 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 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 60 | |
| 5 | 2018 | 25 | |
| 6 | 2015 | 14 | |
| 7 | 2014 | 2 | |
| 8 | 2012 | 18 | |
| 9 | 2011 | 18 | |
| 10 | 2007 | 9 | |
| 11 | Machine Learning for Audio, Image and Video Analysis: Theory and Applications (Advanced Information and Knowledge Processing) | 2007 | 13 |
| 12 | 2006 | 37 | |
| 13 | CURSIVE CHARACTER CHALLENGE: A NEW DATABASE FOR MACHINE LEARNING AND PATTERN RECOGNITION | 2005 | 3 |
| 14 | 2005 | 225 | |
| 15 | ENHANCING CURSIVE WORD RECOGNITION PERFORMANCE BY THE INTEGRATION OF ALL THE AVAILABLE INFORMATION | 2004 | 1 |
| 16 | 2003 | 179 | |
| 17 | 2002 | 132 | |
| 18 | Cursive character recognition based on neural nets | 1999 | 0 |
| 19 | Isolated Cursive Character Recognition based on Neural Nets. | 1999 | 2 |
| 20 | 1999 | 17 |
About Francesco Camastra
Francesco Camastra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Signal Processing and Environmental Engineering, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Handwritten Text Recognition Techniques (8 papers), Image Retrieval and Classification Techniques (7 papers), Chaos control and synchronization (6 papers), Air Quality Monitoring and Forecasting (3 papers), Time Series Analysis and Forecasting (3 papers), Image Processing and 3D Reconstruction (3 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (779 citations), Artificial Intelligence (900 citations), Media Technology (234 citations), Signal Processing (223 citations) and Statistical and Nonlinear Physics (144 citations). Francesco Camastra has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Alessandro Vinciarelli, Maurizio Filippone, Francesco Masulli, Stefano Rovetta, Alessandro Verri, Antonino Staiano, Angelo Ciaramella, Angelo Riccio, Valentina Rastelli and A.M. Colla. Their work appears in journals such as Ecological Informatics, Pattern Recognition, Neural Computing and Applications, Expert Systems with Applications and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.