Anna Carobene
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- Meta-analysis and systematic reviews
Papers in
- Physiology 31
- Clinical Laboratory Practices and Quality Control 30
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- Meta-analysis and systematic reviews 7
- Co-authors
- Sverre Sandberg (43 shared papers)Abdurrahman Coşkun (45 shared papers)Pilar Fernández–Calle (42 shared papers)Ferruccio Ceriotti (31 shared papers)Federico Cabitza (19 shared papers)William A. Bartlett (28 shared papers)Jorge Díaz–Garzón (41 shared papers)Aasne K. Aarsand (39 shared papers)
In The Last Decade
Anna Carobene
97 papers receiving 2.3k citations
Anna Carobene's Hit Papers
Peers
Comparison fields: 5 of 134
- Health Informatics 185
- Statistics, Probability and Uncertainty 328
- Physiology 806
- Nephrology 200
- Statistics and Probability 213
Countries citing papers authored by Anna Carobene
This map shows the geographic impact of Anna Carobene'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 Anna Carobene with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Carobene more than expected).
Fields of papers citing papers by Anna Carobene
This network shows the impact of papers produced by Anna Carobene. 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 Anna Carobene. The network helps show where Anna Carobene may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Carobene, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The importance of being external. methodological insights for the external validation of machine learning models in medicine Hit paper breakdown → | 2021 | 170 |
| 2 | 2017 | 160 | |
| 3 | 2015 | 124 | |
| 4 | 2020 | 112 | |
| 5 | 2016 | 87 | |
| 6 | 2018 | 73 | |
| 7 | 2023 | 71 | |
| 8 | 2013 | 70 | |
| 9 | 2017 | 61 | |
| 10 | 2015 | 57 | |
| 11 | 2017 | 49 | |
| 12 | 2023 | 48 | |
| 13 | 2018 | 47 | |
| 14 | 2021 | 44 | |
| 15 | 2019 | 43 | |
| 16 | 2019 | 42 | |
| 17 | 1997 | 37 | |
| 18 | 2023 | 37 | |
| 19 | 2017 | 36 | |
| 20 | 2018 | 35 |
About Anna Carobene
Anna Carobene is a scholar working on Physiology, Statistics, Probability and Uncertainty, Statistics and Probability, Surgery and Molecular Biology, having authored 99 papers that have together received 2.4k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (30 papers), Statistical Methods in Clinical Trials (8 papers), Meta-analysis and systematic reviews (7 papers), Sepsis Diagnosis and Treatment (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Hemodynamic Monitoring and Therapy (4 papers), COVID-19 diagnosis using AI (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). The work is most often cited by research in Health Informatics (185 citations), Statistics, Probability and Uncertainty (328 citations), Physiology (806 citations), Nephrology (200 citations) and Statistics and Probability (213 citations). Anna Carobene has collaborated with scholars based in Italy, Türkiye and Spain. Frequent co-authors include Sverre Sandberg, Abdurrahman Coşkun, Pilar Fernández–Calle, Ferruccio Ceriotti, Federico Cabitza, William A. Bartlett, Jorge Díaz–Garzón, Aasne K. Aarsand, Niels Jonker and Thomas Røraas. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Clinica Chimica Acta, Clinical Chemistry, Human Genetics and Journal of Medical Internet Research.
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.