Alessandro Riccardi
- Radiology, Nuclear Medicine and Imaging top 10%
- Artificial Intelligence top 10%
- Neurology top 10%
- Pulmonary and Respiratory Medicine
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- R. CampaniniMatteo MasottiGiuseppe PalermoNico LanconelliFabio De IacoMatteo RoffilliAlessandro BevilacquaAndrea Fabbri
- Topics
- Medical Imaging Techniques and Applications (9 papers)AI in cancer detection (6 papers)Traumatic Brain Injury and Neurovascular Disturbances (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaOncogenePhysics in Medicine and Biology
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Alessandro Riccardi
40 papers receiving 592 citations
Peers
Comparison fields: 5 of 109
- Radiology, Nuclear Medicine and Imaging 160
- Artificial Intelligence 149
- Neurology 100
- Pulmonary and Respiratory Medicine 97
- Computer Vision and Pattern Recognition 93
Countries citing papers authored by Alessandro Riccardi
This map shows the geographic impact of Alessandro Riccardi'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 Alessandro Riccardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessandro Riccardi more than expected).
Fields of papers citing papers by Alessandro Riccardi
This network shows the impact of papers produced by Alessandro Riccardi. 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 Alessandro Riccardi. The network helps show where Alessandro Riccardi may publish in the future.
Co-authorship network of co-authors of Alessandro Riccardi
This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Riccardi. A scholar is included among the top collaborators of Alessandro Riccardi 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 Alessandro Riccardi. Alessandro Riccardi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 19 | |
| 4 | 9 | |
| 5 | 4 | |
| 6 | 6 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 4 | |
| 11 | 38 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 20 | |
| 15 | 49 | |
| 16 | 100 | |
| 17 | 91 | |
| 18 | Automatic detection of clustered microcalcifications using a combined method and an SVM classifier | 2 |
| 19 | 69 | |
| 20 | Automatic detection of clustered microcalcifications in digital mammograms using an SVM classifier. | 10 |
About Alessandro Riccardi
Alessandro Riccardi is a scholar working on Anesthesiology and Pain Medicine, Radiation and Neurology, having authored 45 papers that have together received 619 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (9 papers), AI in cancer detection (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (160 citations), Neurology (100 citations) and Anesthesiology and Pain Medicine (36 citations). Alessandro Riccardi has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include R. Campanini, Matteo Masotti, Giuseppe Palermo, Nico Lanconelli, Fabio De Iaco, Matteo Roffilli, Alessandro Bevilacqua, Andrea Fabbri, Danilo Nicola Dongiovanni and D. Bollini. Their work appears in journals such as SHILAP Revista de lepidopterología, Oncogene and Physics in Medicine and Biology.
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.