Corrado Lanera
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Artificial Intelligence in Healthcare
Papers in
- Epidemiology 14
- Data-Driven Disease Surveillance 7
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- Cardiac pacing and defibrillation studies 5
- Cardiac Arrhythmias and Treatments 4
- Cardiac electrophysiology and arrhythmias 3
- Co-authors
- Darío Gregori (49 shared papers)Paola Berchialla (19 shared papers)Giulia Lorenzoni (27 shared papers)Ileana Baldi (16 shared papers)Danila Azzolina (20 shared papers)Honoria Ocagli (10 shared papers)Daniele Bottigliengo (5 shared papers)Sabino Iliceto (6 shared papers)
- Journals
- International Journal of Environmental Research and Public Health (6 papers)Scientific Reports (2 papers)International Journal of Cardiology (2 papers)Foods (2 papers)Journal of Personalized Medicine (2 papers)
- Partner nations
- ItalyUnited StatesIndia
In The Last Decade
Corrado Lanera
50 papers receiving 520 citations
Peers
Comparison fields: 5 of 125
- Health Informatics 43
- Health Information Management 40
- Modeling and Simulation 32
- Health, Toxicology and Mutagenesis 68
- Cardiology and Cardiovascular Medicine 98
Countries citing papers authored by Corrado Lanera
This map shows the geographic impact of Corrado Lanera'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 Corrado Lanera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Corrado Lanera more than expected).
Fields of papers citing papers by Corrado Lanera
This network shows the impact of papers produced by Corrado Lanera. 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 Corrado Lanera. The network helps show where Corrado Lanera may publish in the future.
Co-authors
The 25 scholars most cited alongside Corrado Lanera, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 55 | |
| 2 | 2019 | 41 | |
| 3 | 2021 | 32 | |
| 4 | 2017 | 29 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 24 | |
| 7 | 2019 | 22 | |
| 8 | 2017 | 20 | |
| 9 | 2019 | 17 | |
| 10 | Bayesian Machine Learning Techniques for revealing complex interactions among genetic and clinical factors in association with extra-intestinal Manifestations in IBD patients. | 2016 | 16 |
| 11 | 2021 | 15 | |
| 12 | 2019 | 15 | |
| 13 | 2019 | 14 | |
| 14 | 2020 | 14 | |
| 15 | 2022 | 12 | |
| 16 | 2018 | 12 | |
| 17 | 2021 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2018 | 10 | |
| 20 | 2022 | 10 |
About Corrado Lanera
Corrado Lanera is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, General Health Professions, Artificial Intelligence and Surgery, having authored 55 papers that have together received 534 indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (7 papers), COVID-19 epidemiological studies (6 papers), Cardiac pacing and defibrillation studies (5 papers), Cardiac Arrhythmias and Treatments (4 papers), Machine Learning in Healthcare (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Health Informatics (43 citations), Health Information Management (40 citations), Modeling and Simulation (32 citations), Health, Toxicology and Mutagenesis (68 citations) and Cardiology and Cardiovascular Medicine (98 citations). Corrado Lanera has collaborated with scholars based in Italy, United States and India. Frequent co-authors include Darío Gregori, Paola Berchialla, Giulia Lorenzoni, Ileana Baldi, Danila Azzolina, Honoria Ocagli, Daniele Bottigliengo, Sabino Iliceto, Clara Minto and Gino Gerosa. Their work appears in journals such as International Journal of Environmental Research and Public Health, Scientific Reports, International Journal of Cardiology, Foods and Journal of Personalized 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.