Marianna Semprini
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Rehabilitation top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Lorenzo De MichieliMichela ChiappaloneMatteo LaffranchiJürgen KonczakNicolò BoccardoMichele CanepaValentina SqueriLorenzo Lombardi
- Topics
- EEG and Brain-Computer Interfaces (31 papers)Neuroscience and Neural Engineering (24 papers)Muscle activation and electromyography studies (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBrain Research
- Partner nations
- ItalyUnited StatesBelgium
In The Last Decade
Marianna Semprini
42 papers receiving 668 citations
Peers
Comparison fields: 5 of 64
- Biomedical Engineering 365
- Cognitive Neuroscience 365
- Cellular and Molecular Neuroscience 220
- Rehabilitation 139
- Control and Systems Engineering 82
Countries citing papers authored by Marianna Semprini
This map shows the geographic impact of Marianna Semprini'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 Marianna Semprini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marianna Semprini more than expected).
Fields of papers citing papers by Marianna Semprini
This network shows the impact of papers produced by Marianna Semprini. 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 Marianna Semprini. The network helps show where Marianna Semprini may publish in the future.
Co-authorship network of co-authors of Marianna Semprini
This figure shows the co-authorship network connecting the top 25 collaborators of Marianna Semprini. A scholar is included among the top collaborators of Marianna Semprini 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 Marianna Semprini. Marianna Semprini 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 | 9 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 48 | |
| 6 | 8 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 23 | |
| 10 | 13 | |
| 11 | 154 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 20 | |
| 15 | 41 | |
| 16 | 53 | |
| 17 | 13 | |
| 18 | 19 | |
| 19 | 13 | |
| 20 | 7 |
About Marianna Semprini
Marianna Semprini is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Rehabilitation, having authored 47 papers that have together received 681 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (31 papers), Neuroscience and Neural Engineering (24 papers) and Muscle activation and electromyography studies (21 papers). The work is most often cited by research in Rehabilitation (139 citations), Cognitive Neuroscience (365 citations) and Cellular and Molecular Neuroscience (220 citations). Marianna Semprini has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Lorenzo De Michieli, Michela Chiappalone, Matteo Laffranchi, Jürgen Konczak, Nicolò Boccardo, Michele Canepa, Valentina Squeri, Lorenzo Lombardi, Emanuele Gruppioni and Jody A. Saglia. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.
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.