Timothy Zeyl

463 total citations
13 papers, 351 citations indexed

About

Timothy Zeyl is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Timothy Zeyl has authored 13 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 5 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Timothy Zeyl's work include EEG and Brain-Computer Interfaces (6 papers), Neural and Behavioral Psychology Studies (3 papers) and Neural dynamics and brain function (2 papers). Timothy Zeyl is often cited by papers focused on EEG and Brain-Computer Interfaces (6 papers), Neural and Behavioral Psychology Studies (3 papers) and Neural dynamics and brain function (2 papers). Timothy Zeyl collaborates with scholars based in Canada and China. Timothy Zeyl's co-authors include Tom Chau, Erwei Yin, Rami Saab, Zongtan Zhou, Dewen Hu, Michelle Keightley, Baochun Li, Andrew Myrden, Arik Senderovich and Shane Bergsma and has published in prestigious journals such as Pattern Recognition Letters, IEEE Transactions on Neural Systems and Rehabilitation Engineering and Journal of Neural Engineering.

In The Last Decade

Timothy Zeyl

13 papers receiving 348 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy Zeyl Canada 9 285 159 75 74 40 13 351
Sarah N. Abdulkader Egypt 5 324 1.1× 157 1.0× 61 0.8× 90 1.2× 66 1.6× 6 393
Rajesh Singla India 10 301 1.1× 155 1.0× 139 1.9× 63 0.9× 39 1.0× 43 396
Clemens Holzner Spain 6 557 2.0× 315 2.0× 163 2.2× 115 1.6× 37 0.9× 8 587
Jingsheng Tang China 9 215 0.8× 113 0.7× 107 1.4× 49 0.7× 26 0.7× 24 270
Ho‐Seung Cha South Korea 12 249 0.9× 87 0.5× 163 2.2× 37 0.5× 40 1.0× 19 365
Danny Plass-Oude Bos Netherlands 9 353 1.2× 129 0.8× 114 1.5× 79 1.1× 21 0.5× 11 408
Sofien Gannouni Saudi Arabia 11 301 1.1× 100 0.6× 72 1.0× 70 0.9× 63 1.6× 26 436
Francesca Schettini Italy 15 621 2.2× 337 2.1× 171 2.3× 115 1.6× 38 0.9× 22 665
Paul McIsaac Australia 9 182 0.6× 61 0.4× 85 1.1× 13 0.2× 17 0.4× 10 331
Sylvain Chevallier France 11 362 1.3× 139 0.9× 71 0.9× 90 1.2× 85 2.1× 44 428

Countries citing papers authored by Timothy Zeyl

Since Specialization
Citations

This map shows the geographic impact of Timothy Zeyl'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 Timothy Zeyl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Zeyl more than expected).

Fields of papers citing papers by Timothy Zeyl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy Zeyl. 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 Timothy Zeyl. The network helps show where Timothy Zeyl may publish in the future.

Co-authorship network of co-authors of Timothy Zeyl

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

All Works

13 of 13 papers shown
1.
Fei, Wang, et al.. (2023). Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication. 1206–1211. 1 indexed citations
2.
Fei, Wang, et al.. (2022). Pareto: Fair Congestion Control With Online Reinforcement Learning. IEEE Transactions on Network Science and Engineering. 9(5). 3731–3748. 16 indexed citations
3.
Li, Baochun, et al.. (2022). FedRL: Improving the Performance of Federated Learning with Non-IID Data. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. 3023–3028. 5 indexed citations
4.
Bergsma, Shane, Timothy Zeyl, Arik Senderovich, & J. Christopher Beck. (2021). Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks. 376–391. 14 indexed citations
5.
6.
Zeyl, Timothy, Erwei Yin, Michelle Keightley, & Tom Chau. (2016). Partially supervised P300 speller adaptation for eventual stimulus timing optimization: target confidence is superior to error-related potential score as an uncertain label. Journal of Neural Engineering. 13(2). 26008–26008. 19 indexed citations
7.
Zeyl, Timothy, Erwei Yin, Michelle Keightley, & Tom Chau. (2016). Improving bit rate in an auditory BCI: Exploiting error-related potentials. 3(2). 75–87. 23 indexed citations
8.
Zeyl, Timothy, Erwei Yin, Michelle Keightley, & Tom Chau. (2015). Adding Real-Time Bayesian Ranks to Error-Related Potential Scores Improves Error Detection and Auto-Correction in a P300 Speller. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 24(1). 46–56. 32 indexed citations
9.
Yin, Erwei, Timothy Zeyl, Rami Saab, et al.. (2015). An Auditory-Tactile Visual Saccade-Independent P300 Brain–Computer Interface. International Journal of Neural Systems. 26(1). 1650001–1650001. 85 indexed citations
10.
Yin, Erwei, Timothy Zeyl, Rami Saab, et al.. (2015). A Hybrid Brain–Computer Interface Based on the Fusion of P300 and SSVEP Scores. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 23(4). 693–701. 105 indexed citations
11.
Myrden, Andrew, et al.. (2014). Trends in Communicative Access Solutions for Children With Cerebral Palsy. Journal of Child Neurology. 29(8). 1108–1118. 24 indexed citations
12.
Zeyl, Timothy & Tom Chau. (2013). A case study of linear classifiers adapted using imperfect labels derived from human event-related potentials. Pattern Recognition Letters. 37. 54–62. 13 indexed citations
13.
Bruce, Ian C., et al.. (2007). Insights into optimal phonemic compression from a computational model of the auditory periphery. 1. 73–82. 7 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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