Mario Merone
Impact in
- Health Informatics top 5%
Papers in
-
- Topic Modeling 7
-
- Medical Imaging and Analysis 6
- Non-Invasive Vital Sign Monitoring 4
- Co-authors
- Paolo Soda (22 shared papers)Federico D’Antoni (27 shared papers)Luca Vollero (24 shared papers)Carlo Sansone (2 shared papers)Mario Sansone (1 shared paper)Giulio Iannello (14 shared papers)Vincenzo Piemonte (9 shared papers)Gianluca Vadalà (5 shared papers)
- Journals
- IEEE Access (5 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)Knowledge-Based Systems (2 papers)Expert Systems with Applications (2 papers)Artificial Intelligence in Medicine (2 papers)
- Partner nations
- ItalyNetherlandsSwitzerland
In The Last Decade
Mario Merone
70 papers receiving 730 citations
Peers
Comparison fields: 5 of 119
- Health Informatics 32
- Health Information Management 31
- Cardiology and Cardiovascular Medicine 132
- Radiology, Nuclear Medicine and Imaging 114
- Endocrinology, Diabetes and Metabolism 71
Countries citing papers authored by Mario Merone
This map shows the geographic impact of Mario Merone'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 Mario Merone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Merone more than expected).
Fields of papers citing papers by Mario Merone
This network shows the impact of papers produced by Mario Merone. 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 Mario Merone. The network helps show where Mario Merone may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Merone, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 90 | |
| 2 | 2021 | 55 | |
| 3 | 2018 | 48 | |
| 4 | 2017 | 41 | |
| 5 | 2022 | 39 | |
| 6 | 2022 | 38 | |
| 7 | 2018 | 27 | |
| 8 | 2016 | 26 | |
| 9 | 2020 | 25 | |
| 10 | 2021 | 21 | |
| 11 | 2022 | 18 | |
| 12 | 2022 | 18 | |
| 13 | 2017 | 17 | |
| 14 | 2022 | 16 | |
| 15 | 2022 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2023 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2018 | 13 | |
| 20 | 2022 | 11 |
About Mario Merone
Mario Merone is a scholar working on Artificial Intelligence, Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Surgery and Pathology and Forensic Medicine, having authored 76 papers that have together received 744 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Topic Modeling (7 papers), Medical Imaging and Analysis (6 papers), IoT and Edge/Fog Computing (5 papers), Musculoskeletal pain and rehabilitation (5 papers), Systemic Lupus Erythematosus Research (5 papers), ECG Monitoring and Analysis (5 papers) and Non-Invasive Vital Sign Monitoring (4 papers). The work is most often cited by research in Health Informatics (32 citations), Health Information Management (31 citations), Cardiology and Cardiovascular Medicine (132 citations), Radiology, Nuclear Medicine and Imaging (114 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Mario Merone has collaborated with scholars based in Italy, Netherlands and Switzerland. Frequent co-authors include Paolo Soda, Federico D’Antoni, Luca Vollero, Carlo Sansone, Mario Sansone, Giulio Iannello, Vincenzo Piemonte, Gianluca Vadalà, Rocco Papalia and Luca Ambrosio. Their work appears in journals such as IEEE Access, IEEE Journal of Biomedical and Health Informatics, Knowledge-Based Systems, Expert Systems with Applications and Artificial Intelligence in Medicine.
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.