Paolo Andreini
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
-
- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
- Handwritten Text Recognition Techniques
- Generative Adversarial Networks and Image Synthesis
Papers in
-
- Medical Image Segmentation Techniques 5
- Advanced Neural Network Applications 3
- Image Processing and 3D Reconstruction 2
-
- AI in cancer detection 3
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Simone Bonechi (17 shared papers)Monica Bianchini (15 shared papers)Franco Scarselli (11 shared papers)A. Mecocci (4 shared papers)Giovanna Maria Dimitri (4 shared papers)Caterina Graziani (2 shared papers)Andrea Sodi (1 shared paper)A. Mecocci (2 shared papers)
- Journals
- Electronics (2 papers)Neurocomputing (2 papers)International Journal of Forecasting (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Computer Standards & Interfaces (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Paolo Andreini
21 papers receiving 245 citations
Peers
Comparison fields: 5 of 68
- Biophysics 38
- Computer Vision and Pattern Recognition 116
- Media Technology 26
- Artificial Intelligence 76
- Health Informatics 3
Countries citing papers authored by Paolo Andreini
This map shows the geographic impact of Paolo Andreini'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 Paolo Andreini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Andreini more than expected).
Fields of papers citing papers by Paolo Andreini
This network shows the impact of papers produced by Paolo Andreini. 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 Paolo Andreini. The network helps show where Paolo Andreini may publish in the future.
Co-authors
The 20 scholars most cited alongside Paolo Andreini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 54 | |
| 2 | 2021 | 44 | |
| 3 | 2020 | 40 | |
| 4 | 2016 | 15 | |
| 5 | 2021 | 15 | |
| 6 | Graph Neural Networks for the Prediction of Protein-Protein Interfaces. | 2020 | 13 |
| 7 | 2022 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2023 | 9 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2019 | 2 | |
| 17 | 2024 | 1 | |
| 18 | Nowcasting German GDP | 2020 | 1 |
| 19 | 2025 | 1 | |
| 20 | 2016 | 1 |
About Paolo Andreini
Paolo Andreini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Biophysics and General Economics, Econometrics and Finance, having authored 22 papers that have together received 246 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (5 papers), Cell Image Analysis Techniques (3 papers), AI in cancer detection (3 papers), Advanced Neural Network Applications (3 papers), Image Processing and 3D Reconstruction (2 papers), Italy: Economic History and Contemporary Issues (2 papers), Gut microbiota and health (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Biophysics (38 citations), Computer Vision and Pattern Recognition (116 citations), Media Technology (26 citations), Artificial Intelligence (76 citations) and Health Informatics (3 citations). Paolo Andreini has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Simone Bonechi, Monica Bianchini, Franco Scarselli, A. Mecocci, Giovanna Maria Dimitri, Caterina Graziani, Andrea Sodi, A. Mecocci, Alberto Rossi and Andrea Garzelli. Their work appears in journals such as Electronics, Neurocomputing, International Journal of Forecasting, Computer Methods and Programs in Biomedicine and Computer Standards & Interfaces.
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.