Gianni Franchi
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 10%
- Health Informatics top 10%
- Control and Systems Engineering
- Co-authors
- Angela YaoNatalia Díaz-RodríguezDavid FilliatA. LamasIvan DonadelloSiham TabikRosana MontesJesύs Angulo
- Topics
- Advanced Neural Network Applications (6 papers)Adversarial Robustness in Machine Learning (5 papers)Anomaly Detection Techniques and Applications (5 papers)
In The Last Decade
Gianni Franchi
20 papers receiving 197 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 107
- Computer Vision and Pattern Recognition 71
- Media Technology 34
- Health Informatics 17
- Control and Systems Engineering 10
Countries citing papers authored by Gianni Franchi
This map shows the geographic impact of Gianni Franchi'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 Gianni Franchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gianni Franchi more than expected).
Fields of papers citing papers by Gianni Franchi
This network shows the impact of papers produced by Gianni Franchi. 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 Gianni Franchi. The network helps show where Gianni Franchi may publish in the future.
Co-authorship network of co-authors of Gianni Franchi
This figure shows the co-authorship network connecting the top 25 collaborators of Gianni Franchi. A scholar is included among the top collaborators of Gianni Franchi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gianni Franchi. Gianni Franchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | Estimation efficace des incertitudes avec Packed-Ensembles | 0 |
| 9 | 14 | |
| 10 | Latent Discriminant deterministic Uncertainty | 1 |
| 11 | 62 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 24 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 12 | |
| 20 | 1 |
About Gianni Franchi
Gianni Franchi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 24 papers that have together received 203 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Anomaly Detection Techniques and Applications (5 papers). The work is most often cited by research in Health Informatics (17 citations), Media Technology (34 citations) and Computer Vision and Pattern Recognition (71 citations). Gianni Franchi has collaborated with scholars based in France, Singapore and Spain. Frequent co-authors include Angela Yao, Natalia Díaz-Rodríguez, David Filliat, A. Lamas, Ivan Donadello, Siham Tabik, Rosana Montes, Jesύs Angulo, Francisco Herrera and Raja Chatila. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Access and Pattern Recognition.
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.