Daniela Zambarbieri
- Cognitive Neuroscience top 10%
- Biomedical Engineering
- Experimental and Cognitive Psychology top 10%
- Neurology top 10%
- Human-Computer Interaction top 10%
- Co-authors
- R. SchmidGiovanni MagenesClaude PrablancMaurizio VersinoG. VerniMicaela SchmidA. BuizzaCarlo Robino
- Topics
- Vestibular and auditory disorders (11 papers)Visual perception and processing mechanisms (9 papers)Ophthalmology and Eye Disorders (6 papers)
In The Last Decade
Daniela Zambarbieri
29 papers receiving 431 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 224
- Biomedical Engineering 100
- Experimental and Cognitive Psychology 90
- Neurology 77
- Human-Computer Interaction 46
Countries citing papers authored by Daniela Zambarbieri
This map shows the geographic impact of Daniela Zambarbieri'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 Daniela Zambarbieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Zambarbieri more than expected).
Fields of papers citing papers by Daniela Zambarbieri
This network shows the impact of papers produced by Daniela Zambarbieri. 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 Daniela Zambarbieri. The network helps show where Daniela Zambarbieri may publish in the future.
Co-authorship network of co-authors of Daniela Zambarbieri
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Zambarbieri. A scholar is included among the top collaborators of Daniela Zambarbieri 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 Daniela Zambarbieri. Daniela Zambarbieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 40 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 75 | |
| 8 | 6 | |
| 9 | Eye-tracking analysis and cognitive modelling in e-learning systems | 1 |
| 10 | 21 | |
| 11 | 3 | |
| 12 | 9 | |
| 13 | Preliminary study of muscle contraction assessment by NIR spectroscopy | 1 |
| 14 | 6 | |
| 15 | 18 | |
| 16 | 2 | |
| 17 | 41 | |
| 18 | 9 | |
| 19 | 103 | |
| 20 | 14 |
About Daniela Zambarbieri
Daniela Zambarbieri is a scholar working on Neurology, Human-Computer Interaction and Cognitive Neuroscience, having authored 31 papers that have together received 456 indexed citations. Recurring topics across this work include Vestibular and auditory disorders (11 papers), Visual perception and processing mechanisms (9 papers) and Ophthalmology and Eye Disorders (6 papers). The work is most often cited by research in Cognitive Neuroscience (224 citations), Neurology (77 citations) and Human-Computer Interaction (46 citations). Daniela Zambarbieri has collaborated with scholars based in Italy and France. Frequent co-authors include R. Schmid, Giovanni Magenes, Claude Prablanc, Maurizio Versino, G. Verni, Micaela Schmid, A. Buizza, Carlo Robino, V. Cosi and Giovanni Castelnovo. Their work appears in journals such as Annals of the New York Academy of Sciences, Experimental Brain Research and Vision 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.