Vernon J. Lawhern

1.7k total citations
40 papers, 999 citations indexed

About

Vernon J. Lawhern is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Vernon J. Lawhern has authored 40 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Cognitive Neuroscience, 12 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in Vernon J. Lawhern's work include EEG and Brain-Computer Interfaces (31 papers), Neural dynamics and brain function (22 papers) and Blind Source Separation Techniques (12 papers). Vernon J. Lawhern is often cited by papers focused on EEG and Brain-Computer Interfaces (31 papers), Neural dynamics and brain function (22 papers) and Blind Source Separation Techniques (12 papers). Vernon J. Lawhern collaborates with scholars based in United States, Australia and Taiwan. Vernon J. Lawhern's co-authors include Brent J. Lance, Dongrui Wu, W. David Hairston, Nicholas R. Waytowich, Kay A. Robbins, Stephen M. Gordon, Chin‐Teng Lin, Kaleb McDowell, Josef Faller and Paul Sajda and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Signal Processing and Human Brain Mapping.

In The Last Decade

Vernon J. Lawhern

39 papers receiving 980 citations

Peers

Countries citing papers authored by Vernon J. Lawhern

Since Specialization

Citations

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

Fields of papers citing papers by Vernon J. Lawhern

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vernon J. Lawhern. 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 Vernon J. Lawhern. The network helps show where Vernon J. Lawhern may publish in the future.

Co-authorship network of co-authors of Vernon J. Lawhern

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Flexibility of Brain Networks May Curtail Cognitive Consequences of Poor Sleep 2025 ·Human Brain Mapping ·(unknown), Nina Lauharatanahirun, Steven M. Thurman, Jean M. Vettel, Barry Giesbrecht, Scott T. Grafton, J. C. Elliott, Vernon J. Lawhern, (unknown), Emily B. Falk, Javier O. Garcia, Kanika Bansal	0
2	Rating-Based Reinforcement Learning 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), MingKang Wu, (unknown), Vernon J. Lawhern, Nicholas R. Waytowich, Yongcan Cao	3
3	Decoding neural activity to assess individual latent state in ecologically valid contexts 2023 ·Journal of Neural Engineering ·Stephen M. Gordon, Jonathan R. McDaniel, Kevin King, Vernon J. Lawhern, Jonathan Touryan	2
4	Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search 2023 ·Stephen M. Gordon, Vernon J. Lawhern, Jonathan Touryan	1
5	Integrating Behavior Cloning and Reinforcement Learning for Improved Performance in Dense and Sparse Reward Environments 2020 ·Adaptive Agents and Multi-Agents Systems ·(unknown), Gregory M. Gremillion, Vernon J. Lawhern, John Valasek, Nicholas R. Waytowich	22
6	Decoding P300 Variability Using Convolutional Neural Networks 2019 ·Frontiers in Human Neuroscience ·(unknown), Vernon J. Lawhern, Jonathan Touryan, Jonathan R. McDaniel, Anthony J. Ries, Stephen M. Gordon	18
7	Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials 2018 ·Journal of Neural Engineering ·Nicholas R. Waytowich, Vernon J. Lawhern, Javier O. Garcia, Jennifer Cummings, Josef Faller, Paul Sajda, Jean M. Vettel	167
8	Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings 2018 ·arXiv (Cornell University) ·(unknown), Stephen M. Gordon, Jonathan R. McDaniel, Vernon J. Lawhern	5
9	Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization 2016 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Dongrui Wu, Vernon J. Lawhern, W. David Hairston, Brent J. Lance	54
10	Spectral Transfer Learning Using Information Geometry for a User-Independent Brain-Computer Interface 2016 ·Frontiers in Neuroscience ·Nicholas R. Waytowich, Vernon J. Lawhern, (unknown), (unknown), Brent J. Lance	55
11	Cortically Coupled Computing: A New Paradigm for Synergistic Human-Machine Interaction 2016 ·Computer ·Sameer Saproo, Josef Faller, Victor Shih, Paul Sajda, Nicholas R. Waytowich, (unknown), Vernon J. Lawhern, Brent J. Lance, David C. Jangraw	12
12	A Permutation Test for Unbalanced Paired Comparisons of Global Field Power 2016 ·Brain Topography ·(unknown), Vernon J. Lawhern, Anthony J. Ries, Amar R. Marathe	12
13	Informed decomposition of electroencephalographic data 2015 ·Journal of Neuroscience Methods ·Stephen M. Gordon, Vernon J. Lawhern, Angelina Passaro, Kaleb McDowell	16
14	The effect of target and non-target similarity on neural classification performance: a boost from confidence 2015 ·Frontiers in Neuroscience ·Amar R. Marathe, Anthony J. Ries, Vernon J. Lawhern, Brent J. Lance, Jonathan Touryan, Kaleb McDowell, Hubert Cecotti	37
15	DETECT: A MATLAB Toolbox for Event Detection and Identification in Time Series, with Applications to Artifact Detection in EEG Signals 2013 ·PLoS ONE ·Vernon J. Lawhern, W. David Hairston, Kay A. Robbins	40
16	Detecting alpha spindle events in EEG time series using adaptive autoregressive models 2013 ·BMC Neuroscience ·Vernon J. Lawhern, Scott E. Kerick, Kay A. Robbins	37
17	Detection and classification of subject-generated artifacts in EEG signals using autoregressive models 2012 ·Journal of Neuroscience Methods ·Vernon J. Lawhern, W. David Hairston, Kaleb McDowell, Marissa Westerfield, Kay A. Robbins	93
18	Spike Rate and Spike Timing Contributions to Coding Taste Quality Information in Rat Periphery 2011 ·Frontiers in Integrative Neuroscience ·Vernon J. Lawhern, Alexander A. Nikonov, Wei Wu, Robert J. Contreras	16
19	Coupling time decoding and trajectory decoding using a target-included model in the motor cortex 2011 ·Neurocomputing ·Vernon J. Lawhern, Nicholas G. Hatsopoulos, Wei Wu	5
20	Population decoding of motor cortical activity using a generalized linear model with hidden states 2010 ·Journal of Neuroscience Methods ·Vernon J. Lawhern, Wei Wu, Nicholas G. Hatsopoulos, Liam Paninski	52

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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