Francesco Giannini
- Radiology, Nuclear Medicine and Imaging top 10%
- Surgery
- Neurology top 10%
- Artificial Intelligence
- Cellular and Molecular Neuroscience
- Co-authors
- Símone RossiC. ParadisoN. BattistiniS. PasseroMarco GoriN. GiordanoGabriele CiravegnaNila Volpi
- Topics
- Peripheral Nerve Disorders (5 papers)Explainable Artificial Intelligence (XAI) (4 papers)Topic Modeling (4 papers)
- Journals
- NeurologyJournal of Neurology Neurosurgery & PsychiatryElectroencephalography and Clinical Neurophysiology
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Francesco Giannini
21 papers receiving 378 citations
Peers
Comparison fields: 5 of 66
- Radiology, Nuclear Medicine and Imaging 173
- Surgery 133
- Neurology 116
- Artificial Intelligence 67
- Cellular and Molecular Neuroscience 62
Countries citing papers authored by Francesco Giannini
This map shows the geographic impact of Francesco Giannini'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 Francesco Giannini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Giannini more than expected).
Fields of papers citing papers by Francesco Giannini
This network shows the impact of papers produced by Francesco Giannini. 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 Francesco Giannini. The network helps show where Francesco Giannini may publish in the future.
Co-authorship network of co-authors of Francesco Giannini
This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Giannini. A scholar is included among the top collaborators of Francesco Giannini 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 Francesco Giannini. Francesco Giannini 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 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 24 | |
| 10 | LENs: a Python library for Logic Explained Networks. | 1 |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 87 | |
| 14 | 9 | |
| 15 | 47 | |
| 16 | Utilizzo di fioretto meccanico e carotiere microstratigrafico inguainante per la valutazione degli spessori e della stratigrafia delle coltri vulcanoclastiche soggette a fenomeni di colata rapida di fango | 6 |
| 17 | 3 | |
| 18 | [CAT and MRI in the study of partial epilepsy: comparison of the 2 methods and correlations with EEG]. | 1 |
| 19 | [Palm stimulation in carpal tunnel syndrome]. | 1 |
| 20 | Electrophysiologic evaluation of local steroid injection in carpal tunnel syndrome. | 65 |
About Francesco Giannini
Francesco Giannini is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Earth-Surface Processes, having authored 26 papers that have together received 391 indexed citations. Recurring topics across this work include Peripheral Nerve Disorders (5 papers), Explainable Artificial Intelligence (XAI) (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Neurology (116 citations), Radiology, Nuclear Medicine and Imaging (173 citations) and Hematology (45 citations). Francesco Giannini has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Símone Rossi, C. Paradiso, N. Battistini, S. Passero, Marco Gori, N. Giordano, Gabriele Ciravegna, Nila Volpi, Pietro Barbiero and R. Cioni. Their work appears in journals such as Neurology, Journal of Neurology Neurosurgery & Psychiatry and Electroencephalography and Clinical Neurophysiology.
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.