Justin Foster
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Paul NuyujukianKrishna V. ShenoyJohn P. CunninghamMark M. ChurchlandMatthew T. KaufmanStephen I. RyuVikash GiljaCynthia A. Chestek
- Topics
- EEG and Brain-Computer Interfaces (7 papers)Neural dynamics and brain function (6 papers)Neuroscience and Neural Engineering (6 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Justin Foster
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Cognitive Neuroscience 1.2k
- Cellular and Molecular Neuroscience 684
- Biomedical Engineering 268
- Electrical and Electronic Engineering 234
- Artificial Intelligence 98
Countries citing papers authored by Justin Foster
This map shows the geographic impact of Justin Foster'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 Justin Foster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Foster more than expected).
Fields of papers citing papers by Justin Foster
This network shows the impact of papers produced by Justin Foster. 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 Justin Foster. The network helps show where Justin Foster may publish in the future.
Co-authorship network of co-authors of Justin Foster
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Foster. A scholar is included among the top collaborators of Justin Foster 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 Justin Foster. Justin Foster 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 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 63 | |
| 6 | 53 | |
| 7 | 46 | |
| 8 | Neural population dynamics during reachingbreakdown → | 933 |
| 9 | On Simulation and Modeling of Turbulent Non-Premixed Reacting Shear Flames at Low and High Pressure | 2 |
| 10 | Neural population dynamics during | 6 |
| 11 | \textit{A Priori} Analysis of Subgrid Mass Flux Vectors from Massively Parallel Direct Numerical Simulations of High Pressure H2/O2 Reacting Shear Layers | 1 |
| 12 | 14 | |
| 13 | 257 | |
| 14 | 29 | |
| 15 | A priori analysis of subgrid scalar phenomena and mass diffusion vectors in turbulent hydrogen-oxygen flames | 1 |
| 16 | 7 | |
| 17 | 13 | |
| 18 | 1 |
About Justin Foster
Justin Foster is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computational Mechanics, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (6 papers) and Neuroscience and Neural Engineering (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Cellular and Molecular Neuroscience (684 citations) and Aging (15 citations). Justin Foster has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Paul Nuyujukian, Krishna V. Shenoy, John P. Cunningham, Mark M. Churchland, Matthew T. Kaufman, Stephen I. Ryu, Stephen I. Ryu, Vikash Gilja, Cynthia A. Chestek and Joline M. Fan. Their work appears in journals such as Nature, Current Opinion in Neurobiology and Journal of Neural 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.