Rocco Cavaleri
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Anesthesiology and Pain Medicine top 10%
- Pain Management and Treatment
Papers in
- Neurology 15
- Transcranial Magnetic Stimulation Studies 14
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- Musculoskeletal pain and rehabilitation 7
- Co-authors
- Lucy S. Chipchase (16 shared papers)Siobhan M. Schabrun (12 shared papers)Simon J. Summers (17 shared papers)Jane Chalmers (3 shared papers)David Anthony Seminowicz (1 shared paper)Jack S. Fogarty (1 shared paper)Hugo Massé‐Alarie (2 shared papers)Muath A. Shraim (2 shared papers)
- Journals
- BMJ Open (4 papers)Journal of Pain (3 papers)Pain (3 papers)Brain and Behavior (2 papers)PAIN Reports (2 papers)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Rocco Cavaleri
38 papers receiving 460 citations
Peers
Comparison fields: 5 of 62
- Neurology 198
- Anesthesiology and Pain Medicine 38
- Pharmacology 76
- Rehabilitation 29
- Cognitive Neuroscience 84
Countries citing papers authored by Rocco Cavaleri
This map shows the geographic impact of Rocco Cavaleri'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 Rocco Cavaleri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rocco Cavaleri more than expected).
Fields of papers citing papers by Rocco Cavaleri
This network shows the impact of papers produced by Rocco Cavaleri. 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 Rocco Cavaleri. The network helps show where Rocco Cavaleri may publish in the future.
Co-authors
The 25 scholars most cited alongside Rocco Cavaleri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 98 | |
| 2 | 2019 | 50 | |
| 3 | 2015 | 37 | |
| 4 | 2019 | 34 | |
| 5 | 2018 | 28 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2020 | 19 | |
| 9 | 2016 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2016 | 12 | |
| 12 | 2017 | 11 | |
| 13 | 2021 | 11 | |
| 14 | 2024 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2015 | 8 | |
| 18 | 2023 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2023 | 6 |
About Rocco Cavaleri
Rocco Cavaleri is a scholar working on Neurology, Pharmacology, Physiology, Anesthesiology and Pain Medicine and Statistics, Probability and Uncertainty, having authored 43 papers that have together received 468 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (14 papers), Musculoskeletal pain and rehabilitation (7 papers), Pain Mechanisms and Treatments (6 papers), Meta-analysis and systematic reviews (3 papers), Muscle activation and electromyography studies (3 papers), Sport Psychology and Performance (3 papers), Pain Management and Treatment (3 papers) and Health Policy Implementation Science (3 papers). The work is most often cited by research in Neurology (198 citations), Anesthesiology and Pain Medicine (38 citations), Pharmacology (76 citations), Rehabilitation (29 citations) and Cognitive Neuroscience (84 citations). Rocco Cavaleri has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Lucy S. Chipchase, Siobhan M. Schabrun, Simon J. Summers, Jane Chalmers, David Anthony Seminowicz, Jack S. Fogarty, Hugo Massé‐Alarie, Muath A. Shraim, Genevieve Z. Steiner and Paul W. Hodges. Their work appears in journals such as BMJ Open, Journal of Pain, Pain, Brain and Behavior and PAIN Reports.
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.