Francesco Isgrò
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- Advanced Vision and Imaging 15
- Advanced Image and Video Retrieval Techniques 9
- Optical measurement and interference techniques 5
- Image and Object Detection Techniques 4
- Image Retrieval and Classification Techniques 4
- Artificial Intelligence top 5%
- Solar Radiation and Photovoltaics 5
- Media Technology top 5%
- Signal Processing top 10%
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- Robotics and Sensor-Based Localization 6
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- Atmospheric aerosols and clouds 5
- Co-authors
- Andrea ApicellaRoberto PreveteFrancesco DonnarummaEmanuele TruccoDomenico TegoloFrancesca OdoneAlessandro VerriOliver Schreer
- Journals
- SHILAP Revista de lepidopterología (3 papers)IEEE Transactions on Geoscience and Remote Sensing (1 paper)IEEE Access (2 papers)
- Partner nations
- ItalyUnited KingdomGermany
In The Last Decade
Francesco Isgrò
57 papers receiving 861 citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Computer Vision and Pattern Recognition 357
- Artificial Intelligence 239
- Media Technology 63
- Signal Processing 71
- Computer Graphics and Computer-Aided Design 19
Countries citing papers authored by Francesco Isgrò
This map shows the geographic impact of Francesco Isgrò'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 Isgrò with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Isgrò more than expected).
Fields of papers citing papers by Francesco Isgrò
This network shows the impact of papers produced by Francesco Isgrò. 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 Isgrò. The network helps show where Francesco Isgrò may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francesco Isgrò, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 17 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 35 | |
| 10 | 2023 | 18 | |
| 11 | 2022 | 8 | |
| 12 | 2022 | 24 | |
| 13 | 2022 | 11 | |
| 14 | 2022 | 20 | |
| 15 | A survey on modern trainable activation functionsbreakdown → | 2021 | 322 |
| 16 | Explaining classification systems using sparse dictionaries. | 2019 | 2 |
| 17 | 2018 | 13 | |
| 18 | 2016 | 32 | |
| 19 | Clustering for Surface Reconstruction | 2005 | 1 |
| 20 | 3-D image processing in the future of immersive media | 2004 | 1 |
About Francesco Isgrò
Francesco Isgrò is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 66 papers that have together received 903 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (15 papers), Advanced Image and Video Retrieval Techniques (9 papers), Robotics and Sensor-Based Localization (6 papers), Solar Radiation and Photovoltaics (5 papers), Atmospheric aerosols and clouds (5 papers), Optical measurement and interference techniques (5 papers), Image and Object Detection Techniques (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (357 citations), Artificial Intelligence (239 citations) and Media Technology (63 citations). Francesco Isgrò has collaborated with scholars based in Italy, United Kingdom and Germany. Frequent co-authors include Andrea Apicella, Roberto Prevete, Francesco Donnarumma, Emanuele Trucco, Domenico Tegolo, Francesca Odone, Alessandro Verri, Oliver Schreer, Peter Kauff and M. Pilu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.
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.