Andrea Visconti
- Immunology top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Artificial Intelligence top 10%
- Information Systems top 5%
- Co-authors
- Giovanni RistoriHooman TahayoriStefania CannoniMarco SalvettiNicola VanacoreSilvia RomanoUdai Pratap RaoFrancesco E. Pontieri
- Topics
- Multiple Sclerosis Research Studies (13 papers)Coding theory and cryptography (7 papers)Fuzzy Logic and Control Systems (7 papers)
- Partner nations
- ItalySwitzerlandGermany
In The Last Decade
Andrea Visconti
59 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 138
- Immunology 261
- Molecular Biology 248
- Pathology and Forensic Medicine 248
- Artificial Intelligence 149
- Information Systems 132
Countries citing papers authored by Andrea Visconti
This map shows the geographic impact of Andrea Visconti'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 Visconti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Visconti more than expected).
Fields of papers citing papers by Andrea Visconti
This network shows the impact of papers produced by Andrea Visconti. 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 Visconti. The network helps show where Andrea Visconti may publish in the future.
Co-authorship network of co-authors of Andrea Visconti
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Visconti. A scholar is included among the top collaborators of Andrea Visconti 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 Visconti. Andrea Visconti 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 | 2 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 36 | |
| 8 | 19 | |
| 9 | 8 | |
| 10 | 18 | |
| 11 | 16 | |
| 12 | 84 | |
| 13 | 67 | |
| 14 | Gli indicatori di bilancio per le valutazioni di mercato: uno studio di value relevance in Italia * | 1 |
| 15 | 13 | |
| 16 | 96 | |
| 17 | 109 | |
| 18 | 2 | |
| 19 | Quantification of chemical elements in blood of patients affected by multiple sclerosis. | 40 |
| 20 | 2 |
About Andrea Visconti
Andrea Visconti is a scholar working on Artificial Intelligence, Pathology and Forensic Medicine and Anatomy, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (13 papers), Coding theory and cryptography (7 papers) and Fuzzy Logic and Control Systems (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (248 citations), Immunology (261 citations) and Neurology (82 citations). Andrea Visconti has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Giovanni Ristori, Hooman Tahayori, Stefania Cannoni, Marco Salvetti, Nicola Vanacore, Silvia Romano, Udai Pratap Rao, Marco Salvetti, Francesco E. Pontieri and Adrian Signer. Their work appears in journals such as Neurology, Journal of High Energy Physics and Fuzzy Sets and Systems.
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.