Virginia R. de
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 2%
- Artificial Intelligence top 5%
- Experimental and Cognitive Psychology top 5%
- Social Psychology top 5%
- Co-authors
- Ken McRaeMark S. SeidenbergDana H. BallardAlan RobinsonEunho NohRich CaruanaJoshua M. LewisPriya Velu
- Topics
- Neural dynamics and brain function (24 papers)EEG and Brain-Computer Interfaces (24 papers)Neural Networks and Applications (10 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Virginia R. de
64 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 1.3k
- Developmental and Educational Psychology 497
- Artificial Intelligence 462
- Experimental and Cognitive Psychology 383
- Social Psychology 313
Countries citing papers authored by Virginia R. de
This map shows the geographic impact of Virginia R. de'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 Virginia R. de with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Virginia R. de more than expected).
Fields of papers citing papers by Virginia R. de
This network shows the impact of papers produced by Virginia R. de. 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 Virginia R. de. The network helps show where Virginia R. de may publish in the future.
Co-authorship network of co-authors of Virginia R. de
This figure shows the co-authorship network connecting the top 25 collaborators of Virginia R. de. A scholar is included among the top collaborators of Virginia R. de 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 Virginia R. de. Virginia R. de is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 19 | |
| 3 | 17 | |
| 4 | 37 | |
| 5 | 14 | |
| 6 | 26 | |
| 7 | Improving Information Transfer rate in Active BCIs. | 1 |
| 8 | 23 | |
| 9 | Discriminative dimensionality reduction for analyzing EEG data | 8 |
| 10 | 43 | |
| 11 | 65 | |
| 12 | 42 | |
| 13 | 78 | |
| 14 | 0 | |
| 15 | 71 | |
| 16 | 474 | |
| 17 | Modeling Property Intercorrelations in Conceptual Memory | 1 |
| 18 | Learning Classification with Unlabeled Data | 119 |
| 19 | The Role of Correlated Properties in Accessing Conceptual Memory | 3 |
| 20 | A Note on Learning Vector Quantization | 5 |
About Virginia R. de
Virginia R. de is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Signal Processing, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (24 papers), EEG and Brain-Computer Interfaces (24 papers) and Neural Networks and Applications (10 papers). The work is most often cited by research in Cognitive Neuroscience (1.3k citations), Developmental and Educational Psychology (497 citations) and Experimental and Cognitive Psychology (383 citations). Virginia R. de has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Ken McRae, Mark S. Seidenberg, Dana H. Ballard, Alan Robinson, Eunho Noh, Rich Caruana, Joshua M. Lewis, Priya Velu, Thomas J. Sullivan and Xiaojing Xu. Their work appears in journals such as NeuroImage, Psychological Science and IEEE Transactions on Biomedical Engineering.
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.