Brian DePasquale
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Neurology top 10%
- Co-authors
- Daniel J. GibsonJ FeingoldAnn M. GraybielL. F. AbbottRaoul-Martin MemmesheimerKanaka RajanCarlos D. BrodyLucas Pinto
- Topics
- Neural dynamics and brain function (12 papers)Advanced Memory and Neural Computing (5 papers)Neural Networks and Applications (3 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Brian DePasquale
11 papers receiving 777 citations
Peers
Comparison fields: 5 of 76
- Cognitive Neuroscience 627
- Cellular and Molecular Neuroscience 303
- Electrical and Electronic Engineering 171
- Artificial Intelligence 159
- Neurology 115
Countries citing papers authored by Brian DePasquale
This map shows the geographic impact of Brian DePasquale'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 Brian DePasquale with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian DePasquale more than expected).
Fields of papers citing papers by Brian DePasquale
This network shows the impact of papers produced by Brian DePasquale. 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 Brian DePasquale. The network helps show where Brian DePasquale may publish in the future.
Co-authorship network of co-authors of Brian DePasquale
This figure shows the co-authorship network connecting the top 25 collaborators of Brian DePasquale. A scholar is included among the top collaborators of Brian DePasquale 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 Brian DePasquale. Brian DePasquale is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 25 | |
| 7 | 69 | |
| 8 | 144 | |
| 9 | 34 | |
| 10 | 73 | |
| 11 | 137 | |
| 12 | 1 | |
| 13 | 247 | |
| 14 | 33 |
About Brian DePasquale
Brian DePasquale is a scholar working on Cognitive Neuroscience, Statistical and Nonlinear Physics and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 785 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (5 papers) and Neural Networks and Applications (3 papers). The work is most often cited by research in Cognitive Neuroscience (627 citations), Cellular and Molecular Neuroscience (303 citations) and Neurology (115 citations). Brian DePasquale has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Daniel J. Gibson, J Feingold, Ann M. Graybiel, L. F. Abbott, Raoul-Martin Memmesheimer, Kanaka Rajan, Carlos D. Brody, Lucas Pinto, David W. Tank and Stephan Y. Thiberge. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.
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.