Claudio Saccavini
- Health Information Management top 10%
- Medical Coding and Health Information 2
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- Diabetes Management and Education 2
- Diabetes, Cardiovascular Risks, and Lipoproteins 2
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- Chronic Disease Management Strategies 4
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- Telemedicine and Telehealth Implementation 4
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- Radiology practices and education 3
- Radiomics and Machine Learning in Medical Imaging 2
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- AI in cancer detection 2
- Co-authors
- Silvia MancinLorenzo GubianAndrea VianelloAlessandra ConcasAngelo AvogaroGiovanni SparacinoBarbara Di CamilloGian Paolo Fadini
- Journals
- SHILAP Revista de lepidopterología (1 paper)Computer Methods and Programs in Biomedicine (1 paper)Nutrition Metabolism and Cardiovascular Diseases (1 paper)
- Partner nations
- ItalyUnited StatesGreece
In The Last Decade
Claudio Saccavini
20 papers receiving 271 citations
Peers
Comparison fields: 5 of 89
- Issues, ethics and legal aspects 5
- Health Information Management 15
- General Health Professions 76
- Rehabilitation 16
- Endocrinology, Diabetes and Metabolism 38
Countries citing papers authored by Claudio Saccavini
This map shows the geographic impact of Claudio Saccavini'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 Claudio Saccavini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Saccavini more than expected).
Fields of papers citing papers by Claudio Saccavini
This network shows the impact of papers produced by Claudio Saccavini. 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 Claudio Saccavini. The network helps show where Claudio Saccavini may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claudio Saccavini, 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 | 2019 | 32 | |
| 2 | 2019 | 1 | |
| 3 | Digital Pathology and Telepathology in Transplantation: Feasibility With the EHR | 2017 | 1 |
| 4 | 2017 | 1 | |
| 5 | 2016 | 26 | |
| 6 | 2016 | 62 | |
| 7 | 2016 | 32 | |
| 8 | 2016 | 31 | |
| 9 | 2016 | 18 | |
| 10 | 2016 | 7 | |
| 11 | 2014 | 5 | |
| 12 | 2013 | 1 | |
| 13 | 2011 | 4 | |
| 14 | 2010 | 9 | |
| 15 | 2007 | 10 | |
| 16 | Radiology Informatics and Work Flow Redesign | 2006 | 2 |
| 17 | [Teleradiology. Document approved by the Directive Council SIRM 18.12.2003]. | 2004 | 1 |
| 18 | 2004 | 13 | |
| 19 | 2001 | 22 | |
| 20 | [The physical aspects of traditional radiology and of computed radiology compared]. | 1995 | 1 |
About Claudio Saccavini
Claudio Saccavini is a scholar working on Health Informatics, Family Practice and Health Information Management, having authored 20 papers that have together received 279 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (4 papers), Telemedicine and Telehealth Implementation (4 papers), Radiology practices and education (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Medical Coding and Health Information (2 papers), Diabetes Management and Education (2 papers), AI in cancer detection (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). The work is most often cited by research in Issues, ethics and legal aspects (5 citations), Health Information Management (15 citations) and General Health Professions (76 citations). Claudio Saccavini has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Silvia Mancin, Lorenzo Gubian, Andrea Vianello, Alessandra Concas, Angelo Avogaro, Giovanni Sparacino, Barbara Di Camillo, Gian Paolo Fadini, Enrico Longato and Francesco Calcaterra. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Methods and Programs in Biomedicine and Nutrition Metabolism and Cardiovascular Diseases.
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.