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
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- Artificial Intelligence in Healthcare and Education 9
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- Meta-analysis and systematic reviews 17
- Co-authors
- Sverre SandbergAbdurrahman CoşkunPilar Fernández–CalleFerruccio CeriottiWilliam A. BartlettJorge Díaz–GarzónFederico CabitzaAasne K. Aarsand
In The Last Decade
Anna Carobene
94 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 138
- Health Informatics 215
- Statistics, Probability and Uncertainty 504
- Statistics and Probability 333
- Physiology 1.0k
- Nephrology 229
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 4 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 155 | |
| 12 | 2020 | 110 | |
| 13 | 2020 | 5 | |
| 14 | 2020 | 11 | |
| 15 | 2020 | 7 | |
| 16 | 2018 | 46 | |
| 17 | 2013 | 4 | |
| 18 | 2012 | 26 | |
| 19 | 2004 | 25 | |
| 20 | Accuracy of cholesterol measurements in Italian clinical laboratories. Joint project GISSI prevention--Italian Society of Clinical Biochemistry. SIBioC GISSI Prevenzione Group. | 1997 | 1 |
About Anna Carobene
Anna Carobene is a scholar working on Health Informatics, Statistics, Probability and Uncertainty, Statistics and Probability, Physiology and Nephrology, having authored 99 papers that have together received 2.3k indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (41 papers), Statistical Methods in Clinical Trials (20 papers), Meta-analysis and systematic reviews (17 papers), COVID-19 diagnosis using AI (10 papers), Artificial Intelligence in Healthcare and Education (9 papers), COVID-19 Clinical Research Studies (6 papers), Hemodynamic Monitoring and Therapy (6 papers) and Sepsis Diagnosis and Treatment (5 papers). The work is most often cited by research in Health Informatics (215 citations), Statistics, Probability and Uncertainty (504 citations), Statistics and Probability (333 citations), Physiology (1.0k citations) and Nephrology (229 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, William A. Bartlett, Jorge Díaz–Garzón, Federico Cabitza, 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 Electrophoresis.
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.