Silvia Seoni
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- Artificial Intelligence in Healthcare
Papers in
- Co-authors
- Filippo MolinariU. Rajendra AcharyaPrabal Datta BaruaHui Wen LohChui Ping OoiMassimo SalviKristen M. MeiburgerJahmunah Vicnesh
In The Last Decade
Silvia Seoni
30 papers receiving 837 citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Health Informatics 155
- Health Information Management 70
- Artificial Intelligence 281
- Radiology, Nuclear Medicine and Imaging 179
- Cognitive Neuroscience 108
Countries citing papers authored by Silvia Seoni
This map shows the geographic impact of Silvia Seoni'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 Silvia Seoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Seoni more than expected).
Fields of papers citing papers by Silvia Seoni
This network shows the impact of papers produced by Silvia Seoni. 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 Silvia Seoni. The network helps show where Silvia Seoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Seoni, 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 | 14 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 16 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 6 | |
| 11 | 2024 | 30 | |
| 12 | 2023 | 7 | |
| 13 | Application of uncertainty quantification to artificial intelligence in healthcare: A review of last decade (2013–2023) Hit paper breakdown → | 2023 | 97 |
| 14 | 2023 | 8 | |
| 15 | 2022 | 52 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 2 | |
| 18 | Application of explainable artificial intelligence for healthcare: A systematic review of the last decade (2011–2022) Hit paper breakdown → | 2022 | 438 |
| 19 | 2021 | 5 | |
| 20 | 2020 | 4 |
About Silvia Seoni
Silvia Seoni is a scholar working on Health Informatics, Biophysics, Applied Psychology, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 33 papers that have together received 865 indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (6 papers), AI in cancer detection (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Cutaneous Melanoma Detection and Management (4 papers), ECG Monitoring and Analysis (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Machine Learning in Healthcare (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Health Informatics (155 citations), Health Information Management (70 citations), Artificial Intelligence (281 citations), Radiology, Nuclear Medicine and Imaging (179 citations) and Cognitive Neuroscience (108 citations). Silvia Seoni has collaborated with scholars based in Italy, Australia and Singapore. Frequent co-authors include Filippo Molinari, U. Rajendra Acharya, Prabal Datta Barua, Hui Wen Loh, Chui Ping Ooi, Massimo Salvi, Kristen M. Meiburger, Jahmunah Vicnesh, Salvador García and Oliver Faust. Their work appears in journals such as Information Fusion, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Computer Methods and Programs in Biomedicine, Computers in Biology and Medicine and Ultrasonics.
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.