Andrea Tancredi
- Statistics and Probability top 5%
- Census and Population Estimation 7
- Statistical Methods and Bayesian Inference 4
- Clinical Biochemistry top 10%
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- Data Quality and Management 4
- Finance top 10%
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- Bone health and osteoporosis research 5
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- Health Systems, Economic Evaluations, Quality of Life 4
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- Data-Driven Disease Surveillance 4
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- Bone health and treatments 4
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- Bayesian Methods and Mixture Models 3
- Co-authors
- Brunero LiseoClive AndersonAnthony O’HaganCarla GiordanoMarzio BellanMariangela SebastianiMichio HiranoGiulia d’Amati
- Journals
- Environmental and Ecological Statistics (2 papers)Statistics in Medicine (2 papers)Extremes (1 paper)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Andrea Tancredi
31 papers receiving 484 citations
Peers
Comparison fields: 5 of 110
- Statistics and Probability 92
- Clinical Biochemistry 59
- Management Science and Operations Research 95
- Finance 44
- Gastroenterology 20
Countries citing papers authored by Andrea Tancredi
This map shows the geographic impact of Andrea Tancredi'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 Andrea Tancredi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Tancredi more than expected).
Fields of papers citing papers by Andrea Tancredi
This network shows the impact of papers produced by Andrea Tancredi. 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 Andrea Tancredi. The network helps show where Andrea Tancredi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrea Tancredi, 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2021 | 4 | |
| 6 | 2019 | 7 | |
| 7 | 2019 | 12 | |
| 8 | 2018 | 1 | |
| 9 | 2012 | 23 | |
| 10 | 2011 | 13 | |
| 11 | 2011 | 65 | |
| 12 | 2011 | 3 | |
| 13 | A hierarchical Bayesian approach to record linkage and size population problems | 2010 | 5 |
| 14 | 2009 | 6 | |
| 15 | 2008 | 71 | |
| 16 | 2008 | 13 | |
| 17 | 2006 | 44 | |
| 18 | 2006 | 5 | |
| 19 | 2004 | 5 | |
| 20 | 2004 | 8 |
About Andrea Tancredi
Andrea Tancredi is a scholar working on Statistics and Probability, Orthopedics and Sports Medicine and Management Science and Operations Research, having authored 32 papers that have together received 498 indexed citations. Recurring topics across this work include Census and Population Estimation (7 papers), Bone health and osteoporosis research (5 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Data-Driven Disease Surveillance (4 papers), Statistical Methods and Bayesian Inference (4 papers), Bone health and treatments (4 papers), Data Quality and Management (4 papers) and Bayesian Methods and Mixture Models (3 papers). The work is most often cited by research in Statistics and Probability (92 citations), Clinical Biochemistry (59 citations) and Management Science and Operations Research (95 citations). Andrea Tancredi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Brunero Liseo, Clive Anderson, Anthony O’Hagan, Carla Giordano, Marzio Bellan, Mariangela Sebastiani, Michio Hirano, Giulia d’Amati, Valério Carelli and Maria Lucia Valentino. Their work appears in journals such as Environmental and Ecological Statistics, Statistics in Medicine, Extremes, Biometrical Journal and Health Economics.
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.