Trevor Bekolay
- Cognitive Neuroscience top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Cellular and Molecular Neuroscience top 10%
- Experimental and Cognitive Psychology
- Co-authors
- Chris EliasmithTerrence C. StewartXuan ChooDaniel RasmussenTravis DeWolfYichuan TangJames BergstraEric Hunsberger
- Topics
- Neural dynamics and brain function (6 papers)Neurobiology of Language and Bilingualism (6 papers)Language Development and Disorders (4 papers)
In The Last Decade
Trevor Bekolay
18 papers receiving 1000 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Cognitive Neuroscience 689
- Electrical and Electronic Engineering 526
- Artificial Intelligence 365
- Cellular and Molecular Neuroscience 227
- Experimental and Cognitive Psychology 54
Countries citing papers authored by Trevor Bekolay
This map shows the geographic impact of Trevor Bekolay'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 Trevor Bekolay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Bekolay more than expected).
Fields of papers citing papers by Trevor Bekolay
This network shows the impact of papers produced by Trevor Bekolay. 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 Trevor Bekolay. The network helps show where Trevor Bekolay may publish in the future.
Co-authorship network of co-authors of Trevor Bekolay
This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Bekolay. A scholar is included among the top collaborators of Trevor Bekolay 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 Trevor Bekolay. Trevor Bekolay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 5 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 5 | |
| 8 | 14 | |
| 9 | Modeling Motor Planning in Speech Production Using the Neural Engineering Framework | 2 |
| 10 | 11 | |
| 11 | 1 | |
| 12 | 292 | |
| 13 | 25 | |
| 14 | 5 | |
| 15 | Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks | 23 |
| 16 | A Large-Scale Model of the Functioning Brainbreakdown → | 551 |
| 17 | 62 | |
| 18 | 22 |
About Trevor Bekolay
Trevor Bekolay is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Experimental and Cognitive Psychology, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neurobiology of Language and Bilingualism (6 papers) and Language Development and Disorders (4 papers). The work is most often cited by research in Cognitive Neuroscience (689 citations), Cellular and Molecular Neuroscience (227 citations) and Artificial Intelligence (365 citations). Trevor Bekolay has collaborated with scholars based in Canada, Germany and China. Frequent co-authors include Chris Eliasmith, Terrence C. Stewart, Xuan Choo, Daniel Rasmussen, Travis DeWolf, Yichuan Tang, James Bergstra, Eric Hunsberger, Aaron R. Voelker and Bernd J. Kröger. Their work appears in journals such as Science, Journal of Neuroscience and Frontiers in Psychology.
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.