Chris Eliasmith
About
In The Last Decade
Chris Eliasmith
138 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Cognitive Neuroscience 2.4k
- Electrical and Electronic Engineering 1.7k
- Artificial Intelligence 1.6k
- Cellular and Molecular Neuroscience 719
- Social Psychology 257
Countries citing papers authored by Chris Eliasmith
This map shows the geographic impact of Chris Eliasmith'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 Chris Eliasmith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Eliasmith more than expected).
Fields of papers citing papers by Chris Eliasmith
This network shows the impact of papers produced by Chris Eliasmith. 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 Chris Eliasmith. The network helps show where Chris Eliasmith may publish in the future.
Co-authorship network of co-authors of Chris Eliasmith
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Eliasmith. A scholar is included among the top collaborators of Chris Eliasmith 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 Chris Eliasmith. Chris Eliasmith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | Representing spatial relations with fractional binding. | 3 |
| 3 | A neural representation of continuous space using fractional binding. | 18 |
| 4 | A Spiking Neural Bayesian Model of Life Span Inference. | 3 |
| 5 | Continuous and Parallel: Challenges for a Standard Model of the Mind. | 1 |
| 6 | Towards a Cognitively Realistic Representation of Word Associations. | 2 |
| 7 | Training Spiking Deep Networks for Neuromorphic Hardware | 34 |
| 8 | A scaleable spiking neural model of action planning. | 0 |
| 9 | Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model | 4 |
| 10 | Visual motion processing and perceptual decision making | 2 |
| 11 | Simultaneous unsupervised and supervised learning of cognitive functions in biologically plausible spiking neural networks | 23 |
| 12 | A Large-Scale Model of the Functioning Brain breakdown → | 551 |
| 13 | Spaun: A Perception-Cognition-Action Model Using Spiking Neurons | 12 |
| 14 | Nengo and the Neural Engineering Framework: From Spikes to Cognition | 2 |
| 15 | Nengo and the Neural Engineering Framework: Connecting Cognitive Theory to Neuroscience | 3 |
| 16 | Deep networks for robust visual recognition | 56 |
| 17 | 1 | |
| 18 | 3 | |
| 19 | Learning Context Sensitive Logical Inference in a Neurobiolobical Simulation. | 0 |
| 20 | 17 |
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.