Terrence C. Stewart
About
In The Last Decade
Terrence C. Stewart
90 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cognitive Neuroscience 1.2k
- Electrical and Electronic Engineering 1.1k
- Artificial Intelligence 803
- Cellular and Molecular Neuroscience 406
- General Decision Sciences 167
Countries citing papers authored by Terrence C. Stewart
This map shows the geographic impact of Terrence C. Stewart'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 Terrence C. Stewart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Terrence C. Stewart more than expected).
Fields of papers citing papers by Terrence C. Stewart
This network shows the impact of papers produced by Terrence C. Stewart. 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 Terrence C. Stewart. The network helps show where Terrence C. Stewart may publish in the future.
Co-authorship network of co-authors of Terrence C. Stewart
This figure shows the co-authorship network connecting the top 25 collaborators of Terrence C. Stewart. A scholar is included among the top collaborators of Terrence C. Stewart 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 Terrence C. Stewart. Terrence C. Stewart 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 | 24 | |
| 3 | 11 | |
| 4 | 5 | |
| 5 | Detection of abnormal driving situations using distributed representations and unsupervised learning. | 2 |
| 6 | A neural representation of continuous space using fractional binding. | 18 |
| 7 | Towards cognitive automotive environment modelling: reasoning based on vector representations. | 2 |
| 8 | Continuous and Parallel: Challenges for a Standard Model of the Mind. | 1 |
| 9 | Towards a Cognitively Realistic Representation of Word Associations. | 2 |
| 10 | Sentence processing in spiking neurons: A biologically plausible left-corner parser. | 8 |
| 11 | Parsing Sequentially Presented Commands in a Large-Scale Biologically Realistic Brain Model | 4 |
| 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 | Applying Cognitive Architectures to Decision-Making: How Cognitive Theory and the Equivalence Measure Triumphed in the Technion Prediction Tournament | 14 |
| 17 | Errors in speech production: Explaining mismatch and accommodation | 1 |
| 18 | Stochastic Resonance in Human Cognition: ACT-R Versus Game Theory, Associative Neural Networks, Recursive Neural Networks, Q-Learning, and Humans | 15 |
| 19 | Teaching Computational Modeling to Non-Computer Scientists. | 2 |
| 20 | A Dynamic, Multi-Agent Model of Peer Group Formation. | 1 |
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.