Paola Campadelli
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Cognitive Neuroscience top 10%
- Co-authors
- Elena CasiraghiRaimondo SchettiniRaffaella LanzarottiF. BaldisseraAndrea EspositoAlessandro RozzaGabriele LombardiPierre Mounoud
- Topics
- Face and Expression Recognition (19 papers)Face recognition and analysis (12 papers)Image Retrieval and Classification Techniques (10 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
Paola Campadelli
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 124
- Computer Vision and Pattern Recognition 707
- Artificial Intelligence 308
- Radiology, Nuclear Medicine and Imaging 237
- Biomedical Engineering 201
- Cognitive Neuroscience 179
Countries citing papers authored by Paola Campadelli
This map shows the geographic impact of Paola Campadelli'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 Paola Campadelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paola Campadelli more than expected).
Fields of papers citing papers by Paola Campadelli
This network shows the impact of papers produced by Paola Campadelli. 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 Paola Campadelli. The network helps show where Paola Campadelli may publish in the future.
Co-authorship network of co-authors of Paola Campadelli
This figure shows the co-authorship network connecting the top 25 collaborators of Paola Campadelli. A scholar is included among the top collaborators of Paola Campadelli 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 Paola Campadelli. Paola Campadelli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 7 | |
| 3 | 36 | |
| 4 | 144 | |
| 5 | Eye localization: a survey | 17 |
| 6 | 73 | |
| 7 | 42 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 17 | |
| 11 | Analysis of a Genetic Model. | 3 |
| 12 | 3 | |
| 13 | 3 | |
| 14 | Approximability of GROUND STATE Problem for Tridimensional Ising Spin Glasses | 0 |
| 15 | Some Notes on Computational Learing Theory. | 1 |
| 16 | Polynomial Uniform Convergence of Relative Frequencies to Probabilities | 1 |
| 17 | 55 | |
| 18 | 51 | |
| 19 | 9 | |
| 20 | 1 |
About Paola Campadelli
Paola Campadelli is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (19 papers), Face recognition and analysis (12 papers) and Image Retrieval and Classification Techniques (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (707 citations), Human-Computer Interaction (93 citations) and Media Technology (141 citations). Paola Campadelli has collaborated with scholars based in Italy and United States. Frequent co-authors include Elena Casiraghi, Raimondo Schettini, Raffaella Lanzarotti, F. Baldissera, Andrea Esposito, Alessandro Rozza, Gabriele Lombardi, Pierre Mounoud, Paolo Viviani and Giorgio Valentini. Their work appears in journals such as The Journal of Physiology, Brain Research and IEEE Transactions on Geoscience and Remote Sensing.
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.