Andrea Esposito
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Elena CasiraghiPaola CampadelliMariacarolina SalernoDonatella CapalboCaterina GiannittoNicola ImprodaDonald ResnickOnofrio A. Catalano
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Aortic aneurysm repair treatments (4 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismRadiology
- Partner nations
- ItalyUnited StatesGreece
In The Last Decade
Andrea Esposito
50 papers receiving 681 citations
Peers
Comparison fields: 5 of 96
- Surgery 195
- Radiology, Nuclear Medicine and Imaging 185
- Epidemiology 124
- Pulmonary and Respiratory Medicine 120
- Computer Vision and Pattern Recognition 103
Countries citing papers authored by Andrea Esposito
This map shows the geographic impact of Andrea Esposito'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 Esposito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Esposito more than expected).
Fields of papers citing papers by Andrea Esposito
This network shows the impact of papers produced by Andrea Esposito. 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 Esposito. The network helps show where Andrea Esposito may publish in the future.
Co-authorship network of co-authors of Andrea Esposito
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Esposito. A scholar is included among the top collaborators of Andrea Esposito based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrea Esposito. Andrea Esposito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 56 | |
| 9 | 25 | |
| 10 | 16 | |
| 11 | 18 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 38 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 6 | |
| 19 | 16 | |
| 20 | 5 |
About Andrea Esposito
Andrea Esposito is a scholar working on Internal Medicine, Health Informatics and Otorhinolaryngology, having authored 55 papers that have together received 704 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Aortic aneurysm repair treatments (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Health Informatics (13 citations), Radiology, Nuclear Medicine and Imaging (185 citations) and Hepatology (52 citations). Andrea Esposito has collaborated with scholars based in Italy, United States and Greece. Frequent co-authors include Elena Casiraghi, Paola Campadelli, Mariacarolina Salerno, Donatella Capalbo, Caterina Giannitto, Nicola Improda, Donald Resnick, Onofrio A. Catalano, Angelo Vanzulli and Ernesto Tomei. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Radiology.
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.