Andrea Marcante
- Neurology top 5%
- Biomedical Engineering
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Psychiatry and Mental health top 10%
- Co-authors
- Francesco PiccioneUgo CarraroPaolo GargiuloHelmut KernSandra ZampieriAmber PondAlfonc BabaBarbara Ravara
- Topics
- Muscle activation and electromyography studies (11 papers)Parkinson's Disease Mechanisms and Treatments (10 papers)Muscle Physiology and Disorders (9 papers)
- Partner nations
- ItalyAustriaUnited States
In The Last Decade
Andrea Marcante
43 papers receiving 792 citations
Peers
Comparison fields: 5 of 107
- Neurology 240
- Biomedical Engineering 239
- Molecular Biology 230
- Cellular and Molecular Neuroscience 151
- Psychiatry and Mental health 150
Countries citing papers authored by Andrea Marcante
This map shows the geographic impact of Andrea Marcante'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 Marcante with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Marcante more than expected).
Fields of papers citing papers by Andrea Marcante
This network shows the impact of papers produced by Andrea Marcante. 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 Marcante. The network helps show where Andrea Marcante may publish in the future.
Co-authorship network of co-authors of Andrea Marcante
This figure shows the co-authorship network connecting the top 25 collaborators of Andrea Marcante. A scholar is included among the top collaborators of Andrea Marcante 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 Marcante. Andrea Marcante is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 23 | |
| 3 | 50 | |
| 4 | Mhealth for remote monitoring and management of Parkinson’s disease: determinants of compliance and validation of a tremor evaluation method | 2 |
| 5 | 24 | |
| 6 | 36 | |
| 7 | 13 | |
| 8 | 22 | |
| 9 | 10 | |
| 10 | 12 | |
| 11 | 48 | |
| 12 | 56 | |
| 13 | 51 | |
| 14 | 14 | |
| 15 | 57 | |
| 16 | 13 | |
| 17 | 14 | |
| 18 | 4 | |
| 19 | 10 | |
| 20 | Social Interaction through Map-based Wikis | 4 |
About Andrea Marcante
Andrea Marcante is a scholar working on Human-Computer Interaction, Neurology and Rehabilitation, having authored 44 papers that have together received 834 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (11 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Muscle Physiology and Disorders (9 papers). The work is most often cited by research in Rehabilitation (116 citations), Neurology (240 citations) and Physical Therapy, Sports Therapy and Rehabilitation (54 citations). Andrea Marcante has collaborated with scholars based in Italy, Austria and United States. Frequent co-authors include Francesco Piccione, Ugo Carraro, Paolo Gargiulo, Helmut Kern, Sandra Zampieri, Amber Pond, Alfonc Baba, Barbara Ravara, Stefano Masiero and Angelo Antonini. Their work appears in journals such as Sensors, Nutrients and Advances in experimental 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.