Travis DeWolf
Impact in
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Motor Control and Adaptation
- Neurobiology of Language and Bilingualism
- Artificial Intelligence top 5%
- Neural Networks and Applications
- Cognitive Computing and Networks
- Psychiatry, Mental Health, Neuroscience
Papers in
-
- Motor Control and Adaptation 2
- Neural dynamics and brain function 2
- Undergraduate Neuroscience Education and Research 1
- Embodied and Extended Cognition 1
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- Neural Networks and Applications 4
- Psychiatry, Mental Health, Neuroscience 3
- Co-authors
- Chris Eliasmith (9 shared papers)Terrence C. Stewart (4 shared papers)Trevor Bekolay (2 shared papers)Xuan Choo (2 shared papers)Yichuan Tang (1 shared paper)James Bergstra (1 shared paper)Aaron Russell Voelker (1 shared paper)Eric Hunsberger (1 shared paper)
- Journals
- Patterns (2 papers)Frontiers in Neuroscience (1 paper)Journal of Neural Engineering (1 paper)Science Robotics (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- CanadaUnited StatesIsrael
In The Last Decade
Travis DeWolf
11 papers receiving 1.2k citations
Travis DeWolf's Hit Papers
Peers
Comparison fields: 5 of 71
- Cognitive Neuroscience 491
- Artificial Intelligence 380
- Electrical and Electronic Engineering 498
- Hardware and Architecture 50
- Experimental and Cognitive Psychology 74
Countries citing papers authored by Travis DeWolf
This map shows the geographic impact of Travis DeWolf'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 Travis DeWolf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis DeWolf more than expected).
Fields of papers citing papers by Travis DeWolf
This network shows the impact of papers produced by Travis DeWolf. 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 Travis DeWolf. The network helps show where Travis DeWolf may publish in the future.
Co-authors
The 12 scholars most cited alongside Travis DeWolf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Large-Scale Model of the Functioning Brain Hit paper breakdown → | 2012 | 648 |
| 2 | Nengo: a Python tool for building large-scale functional brain models Hit paper breakdown → | 2014 | 364 |
| 3 | 2016 | 69 | |
| 4 | 2020 | 65 | |
| 5 | 2021 | 23 | |
| 6 | 2011 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2015 | 14 | |
| 9 | 2023 | 14 | |
| 10 | 2022 | 7 | |
| 11 | 2020 | 3 | |
| 12 | 2022 | 0 |
About Travis DeWolf
Travis DeWolf is a scholar working on Cognitive Neuroscience, Artificial Intelligence, Electrical and Electronic Engineering, Information Systems and Management and Control and Systems Engineering, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (7 papers), Neural Networks and Applications (4 papers), Psychiatry, Mental Health, Neuroscience (3 papers), Motor Control and Adaptation (2 papers), Neural dynamics and brain function (2 papers), Undergraduate Neuroscience Education and Research (1 paper), Embodied and Extended Cognition (1 paper) and Robotic Mechanisms and Dynamics (1 paper). The work is most often cited by research in Cognitive Neuroscience (491 citations), Artificial Intelligence (380 citations), Electrical and Electronic Engineering (498 citations), Hardware and Architecture (50 citations) and Experimental and Cognitive Psychology (74 citations). Travis DeWolf has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Chris Eliasmith, Terrence C. Stewart, Trevor Bekolay, Xuan Choo, Yichuan Tang, James Bergstra, Aaron Russell Voelker, Eric Hunsberger, Jean-Jacques E. Slotine and Elishai Ezra Tsur. Their work appears in journals such as Patterns, Frontiers in Neuroscience, Journal of Neural Engineering, Science Robotics and Proceedings of the Royal Society B Biological Sciences.
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.