Silvia Cavedoni
Impact in
- Human-Computer Interaction top 10%
- Virtual Reality Applications and Impacts
- Psychiatry and Mental health top 10%
- Schizophrenia research and treatment
- Dementia and Cognitive Impairment Research
- Psychosomatic Disorders and Their Treatments
Papers in
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- Dementia and Cognitive Impairment Research 2
- Schizophrenia research and treatment 2
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- Stroke Rehabilitation and Recovery 2
- Co-authors
- Giuseppe Riva (5 shared papers)Valentina Mancuso (6 shared papers)Chiara Stramba-Badiale (4 shared papers)Pietro Cipresso (5 shared papers)Elisa Pedroli (7 shared papers)Alice Chirico (1 shared paper)Mariachiara Buonocore (3 shared papers)Carmelo Guglielmino (3 shared papers)
In The Last Decade
Silvia Cavedoni
12 papers receiving 328 citations
Peers
Comparison fields: 5 of 71
- Human-Computer Interaction 59
- Psychiatry and Mental health 126
- Rehabilitation 51
- Biological Psychiatry 12
- Neuropsychology and Physiological Psychology 6
Countries citing papers authored by Silvia Cavedoni
This map shows the geographic impact of Silvia Cavedoni'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 Silvia Cavedoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Cavedoni more than expected).
Fields of papers citing papers by Silvia Cavedoni
This network shows the impact of papers produced by Silvia Cavedoni. 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 Silvia Cavedoni. The network helps show where Silvia Cavedoni may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Cavedoni, 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 | 2020 | 75 | |
| 2 | 2020 | 60 | |
| 3 | 2017 | 59 | |
| 4 | 2022 | 29 | |
| 5 | 2017 | 22 | |
| 6 | 2023 | 20 | |
| 7 | 2020 | 19 | |
| 8 | 2017 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 4 | |
| 12 | The mediating role of social support protect economic crisis-related patients from sucidal ideation: preliminary study | 2015 | 1 |
| 13 | 2025 | 1 | |
| 14 | 2023 | 0 |
About Silvia Cavedoni
Silvia Cavedoni is a scholar working on Psychiatry and Mental health, Rehabilitation, Clinical Psychology, Cognitive Neuroscience and Neurology, having authored 14 papers that have together received 333 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (2 papers), Virtual Reality Applications and Impacts (2 papers), Dementia and Cognitive Impairment Research (2 papers), Schizophrenia research and treatment (2 papers), Stroke Rehabilitation and Recovery (2 papers), Mental Health and Psychiatry (1 paper), Pain Management and Treatment (1 paper) and Child and Adolescent Psychosocial and Emotional Development (1 paper). The work is most often cited by research in Human-Computer Interaction (59 citations), Psychiatry and Mental health (126 citations), Rehabilitation (51 citations), Biological Psychiatry (12 citations) and Neuropsychology and Physiological Psychology (6 citations). Silvia Cavedoni has collaborated with scholars based in Italy and Japan. Frequent co-authors include Giuseppe Riva, Valentina Mancuso, Chiara Stramba-Badiale, Pietro Cipresso, Elisa Pedroli, Alice Chirico, Mariachiara Buonocore, Carmelo Guglielmino, Roberto Cavallaro and Margherita Bechi. Their work appears in journals such as BMC Medical Research Methodology, Psychiatry Research, Neuropsychology, Frontiers in Human Neuroscience and European Psychiatry.
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.