Victoria Peterson
- Cognitive Neuroscience top 10%
- Health Informatics top 0.5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cellular and Molecular Neuroscience
- Co-authors
- Nicolás NietoDiego H. MiloneEnzo FerranteAgostina J. LarrazabalRubén D. SpiesR. Mark RichardsonTimon MerkHugo Leonardo Rufiner
- Topics
- EEG and Brain-Computer Interfaces (16 papers)Neuroscience and Neural Engineering (10 papers)Neurological disorders and treatments (6 papers)
- Partner nations
- ArgentinaUnited StatesGermany
In The Last Decade
Victoria Peterson
21 papers receiving 660 citations
Peers
Comparison fields: 5 of 106
- Cognitive Neuroscience 254
- Health Informatics 161
- Artificial Intelligence 147
- Radiology, Nuclear Medicine and Imaging 134
- Cellular and Molecular Neuroscience 121
Countries citing papers authored by Victoria Peterson
This map shows the geographic impact of Victoria Peterson'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 Victoria Peterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Victoria Peterson more than expected).
Fields of papers citing papers by Victoria Peterson
This network shows the impact of papers produced by Victoria Peterson. 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 Victoria Peterson. The network helps show where Victoria Peterson may publish in the future.
Co-authorship network of co-authors of Victoria Peterson
This figure shows the co-authorship network connecting the top 25 collaborators of Victoria Peterson. A scholar is included among the top collaborators of Victoria Peterson 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 Victoria Peterson. Victoria Peterson 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 | 4 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 50 | |
| 7 | 44 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | 12 | |
| 11 | 53 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 29 | |
| 16 | 324 | |
| 17 | 46 | |
| 18 | 13 | |
| 19 | 1 | |
| 20 | Rotating pressure measuring system for turbine cooling investigations | 2 |
About Victoria Peterson
Victoria Peterson is a scholar working on Cognitive Neuroscience, Health Informatics and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 681 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Neuroscience and Neural Engineering (10 papers) and Neurological disorders and treatments (6 papers). The work is most often cited by research in Health Informatics (161 citations), Cognitive Neuroscience (254 citations) and Cellular and Molecular Neuroscience (121 citations). Victoria Peterson has collaborated with scholars based in Argentina, United States and Germany. Frequent co-authors include Nicolás Nieto, Diego H. Milone, Enzo Ferrante, Agostina J. Larrazabal, Rubén D. Spies, R. Mark Richardson, Timon Merk, Hugo Leonardo Rufiner, Wolf‐Julian Neumann and Olivier Lambercy. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and Journal of Biomechanics.
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.