Paolo Soda
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Rheumatology top 2%
- Media Technology top 1%
- Co-authors
- Giulio IannelloMario VentoGennaro PercannellaErmanno CordelliPasquale FoggiaMario MeroneRosa SiciliaValerio Guarrasi
- Topics
- Radiomics and Machine Learning in Medical Imaging (30 papers)AI in cancer detection (26 papers)Systemic Lupus Erythematosus Research (21 papers)
In The Last Decade
Paolo Soda
133 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Artificial Intelligence 603
- Radiology, Nuclear Medicine and Imaging 593
- Computer Vision and Pattern Recognition 434
- Rheumatology 417
- Media Technology 387
Countries citing papers authored by Paolo Soda
This map shows the geographic impact of Paolo Soda'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 Soda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paolo Soda more than expected).
Fields of papers citing papers by Paolo Soda
This network shows the impact of papers produced by Paolo Soda. 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 Soda. The network helps show where Paolo Soda may publish in the future.
Co-authorship network of co-authors of Paolo Soda
This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Soda. A scholar is included among the top collaborators of Paolo Soda 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 Paolo Soda. Paolo Soda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | A systematic review of intermediate fusion in multimodal deep learning for biomedical applicationsbreakdown → | 19 |
| 6 | 35 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 0 | |
| 10 | 19 | |
| 11 | 20 | |
| 12 | 18 | |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 7 | |
| 16 | 16 | |
| 17 | 3 | |
| 18 | 27 | |
| 19 | 66 | |
| 20 | 90 |
About Paolo Soda
Paolo Soda is a scholar working on Biophysics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 151 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (30 papers), AI in cancer detection (26 papers) and Systemic Lupus Erythematosus Research (21 papers). The work is most often cited by research in Biophysics (282 citations), Media Technology (387 citations) and Health Informatics (55 citations). Paolo Soda has collaborated with scholars based in Italy, Sweden and China. Frequent co-authors include Giulio Iannello, Mario Vento, Gennaro Percannella, Ermanno Cordelli, Pasquale Foggia, Mario Merone, Rosa Sicilia, Valerio Guarrasi, Carlo Sansone and Mykola Pechenizkiy. Their work appears in journals such as Bioinformatics, PLoS ONE 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.