Riccardo Miotto
- Health Informatics top 0.05%
- Health Information Management top 0.05%
- Artificial Intelligence in Healthcare 9
- Artificial Intelligence top 0.5%
- Machine Learning in Healthcare 20
- Topic Modeling 6
- Semantic Web and Ontologies 5
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- Biomedical Text Mining and Ontologies 16
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- Music and Audio Processing 12
- Speech and Audio Processing 6
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- Music Technology and Sound Studies 10
- Co-authors
- Joel T. DudleyFei WangShuang WangXiaoqian JiangLi LiBrian KiddBenjamin S. GlicksbergKhader Shameer
- Journals
- Nature Medicine (1 paper)Journal of Clinical Oncology (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Riccardo Miotto
45 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Health Informatics 674
- Health Information Management 1.0k
- Artificial Intelligence 2.2k
- Radiology, Nuclear Medicine and Imaging 839
- Cardiology and Cardiovascular Medicine 673
Countries citing papers authored by Riccardo Miotto
This map shows the geographic impact of Riccardo Miotto'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 Riccardo Miotto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riccardo Miotto more than expected).
Fields of papers citing papers by Riccardo Miotto
This network shows the impact of papers produced by Riccardo Miotto. 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 Riccardo Miotto. The network helps show where Riccardo Miotto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Riccardo Miotto, 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 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 22 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 11 | |
| 8 | Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Reviewbreakdown → | 2019 | 324 |
| 9 | 2019 | 17 | |
| 10 | Artificial Intelligence in Cardiologybreakdown → | 2018 | 680 |
| 11 | 2016 | 106 | |
| 12 | Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Recordsbreakdown → | 2016 | 988 |
| 13 | 2016 | 13 | |
| 14 | 2013 | 15 | |
| 15 | 2013 | 26 | |
| 16 | 2012 | 32 | |
| 17 | Content-based Music Access: Combining Audio Features and Semantic Information for Music Search Engines | 2011 | 1 |
| 18 | 2011 | 2 | |
| 19 | Recognition of Music Performances through Audio Matching. | 2007 | 2 |
| 20 | Distributed Information Retrieval and Automatic Identification of Music Works in SAPIR. | 2007 | 0 |
About Riccardo Miotto
Riccardo Miotto is a scholar working on Health Informatics, Health Information Management and Signal Processing, having authored 48 papers that have together received 4.7k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (20 papers), Biomedical Text Mining and Ontologies (16 papers), Music and Audio Processing (12 papers), Music Technology and Sound Studies (10 papers), Artificial Intelligence in Healthcare (9 papers), Speech and Audio Processing (6 papers), Topic Modeling (6 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Health Informatics (674 citations), Health Information Management (1.0k citations) and Artificial Intelligence (2.2k citations). Riccardo Miotto has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Joel T. Dudley, Fei Wang, Shuang Wang, Xiaoqian Jiang, Li Li, Brian Kidd, Benjamin S. Glicksberg, Khader Shameer, Kipp W. Johnson and Mohsin Ali. Their work appears in journals such as Nature Medicine, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.