Travis DeWolf

1.7k total citations · 1 hit paper
8 papers, 955 citations indexed

About

Travis DeWolf is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Travis DeWolf has authored 8 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Electrical and Electronic Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Travis DeWolf's work include Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (4 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Travis DeWolf is often cited by papers focused on Neural dynamics and brain function (5 papers), Advanced Memory and Neural Computing (4 papers) and Ferroelectric and Negative Capacitance Devices (3 papers). Travis DeWolf collaborates with scholars based in Canada, United States and Israel. Travis DeWolf's co-authors include Chris Eliasmith, Terrence C. Stewart, Daniel Rasmussen, Trevor Bekolay, Xuan Choo, Yichuan Tang, Eric Hunsberger, James Bergstra, Aaron R. Voelker and Jean-Jacques Slotine and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Travis DeWolf

8 papers receiving 916 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Large-Scale Model of the Functioning Brain

2012 551 citations Chris Eliasmith, Terrence C. Stewart et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Travis DeWolf Canada	7	605	534	345	211	47	8	955
Xuan Choo Canada	5	572 0.9×	513 1.0×	337 1.0×	197 0.9×	44 0.9×	6	906
Trevor Bekolay Canada	9	689 1.1×	526 1.0×	365 1.1×	227 1.1×	52 1.1×	18	1.0k
Yoonsuck Choe United States	14	468 0.8×	224 0.4×	306 0.9×	143 0.7×	47 1.0×	108	924
Guangyu Robert Yang United States	15	1.1k 1.8×	280 0.5×	296 0.9×	384 1.8×	53 1.1×	32	1.5k
James C. R. Whittington United Kingdom	7	961 1.6×	169 0.3×	315 0.9×	279 1.3×	67 1.4×	8	1.3k
Andreas Knoblauch Germany	18	565 0.9×	225 0.4×	193 0.6×	216 1.0×	108 2.3×	47	762
David A. Moses United States	12	835 1.4×	227 0.4×	196 0.6×	316 1.5×	36 0.8×	14	1.1k
Johannes Bill United States	12	445 0.7×	499 0.9×	182 0.5×	263 1.2×	28 0.6×	21	793
Arup Roy United States	14	694 1.1×	400 0.7×	81 0.2×	530 2.5×	17 0.4×	52	1.4k
‎Mohammad Ganjtabesh Iran	12	681 1.1×	857 1.6×	348 1.0×	251 1.2×	9 0.2×	30	1.1k

Countries citing papers authored by Travis DeWolf

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Travis DeWolf

This figure shows the co-authorship network connecting the top 25 collaborators of Travis DeWolf. A scholar is included among the top collaborators of Travis DeWolf 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 Travis DeWolf. Travis DeWolf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

DeWolf, Travis, et al.. (2023). Neuromorphic control of a simulated 7-DOF arm using Loihi. SHILAP Revista de lepidopterología. 3(1). 14007–14007. 11 indexed citations

2.

Komer, Brent, et al.. (2022). BatSLAM: Neuromorphic Spatial Reasoning in 3D Environments. 1–8. 6 indexed citations

3.

DeWolf, Travis, et al.. (2021). Data-driven artificial and spiking neural networks for inverse kinematics in neurorobotics. Patterns. 3(1). 100391–100391. 13 indexed citations

4.

DeWolf, Travis, Terrence C. Stewart, Jean-Jacques Slotine, & Chris Eliasmith. (2016). A spiking neural model of adaptive arm control. Proceedings of the Royal Society B Biological Sciences. 283(1843). 20162134–20162134. 51 indexed citations

5.

Stewart, Terrence C., et al.. (2015). Closed-Loop Neuromorphic Benchmarks. Frontiers in Neuroscience. 9. 464–464. 11 indexed citations

6.

Bekolay, Trevor, James Bergstra, Eric Hunsberger, et al.. (2014). Nengo: a Python tool for building large-scale functional brain models. Frontiers in Neuroinformatics. 7. 48–48. 292 indexed citations

7.

Eliasmith, Chris, Terrence C. Stewart, Xuan Choo, et al.. (2012). A Large-Scale Model of the Functioning Brain. Science. 338(6111). 1202–1205. 551 indexed citations breakdown →

8.

DeWolf, Travis & Chris Eliasmith. (2011). The neural optimal control hierarchy for motor control. Journal of Neural Engineering. 8(6). 65009–65009. 20 indexed citations

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.

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