Stephen M. Gordon

828 total citations
30 papers, 469 citations indexed

About

Stephen M. Gordon is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Stephen M. Gordon has authored 30 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cognitive Neuroscience, 6 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Stephen M. Gordon's work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (13 papers) and Neural and Behavioral Psychology Studies (7 papers). Stephen M. Gordon is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (13 papers) and Neural and Behavioral Psychology Studies (7 papers). Stephen M. Gordon collaborates with scholars based in United States, Australia and Taiwan. Stephen M. Gordon's co-authors include Vernon J. Lawhern, Chin‐Teng Lin, Brent J. Lance, Dongrui Wu, Kaleb McDowell, K. Kawamura, Tzyy‐Ping Jung, Jonathan Touryan, W. David Hairston and Anthony J. Ries and has published in prestigious journals such as PLoS ONE, NeuroImage and IEEE Access.

In The Last Decade

Stephen M. Gordon

28 papers receiving 450 citations

Peers

Countries citing papers authored by Stephen M. Gordon

Since Specialization

Citations

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

Fields of papers citing papers by Stephen M. Gordon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Gordon. 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 Stephen M. Gordon. The network helps show where Stephen M. Gordon may publish in the future.

Co-authorship network of co-authors of Stephen M. Gordon

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Gordon. A scholar is included among the top collaborators of Stephen M. Gordon 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 Stephen M. Gordon. Stephen M. Gordon 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

#	Title	Journal	Authors	Indexed citations
1	Evidence of elevated situational awareness for active duty soldiers during navigation of a virtual environment	PLoS ONE	Leah R. Enders, Stephen M. Gordon et al.	1
2	Saccade size predicts onset time of object processing during visual search of an open world virtual environment	NeuroImage	Stephen M. Gordon, Jonathan Touryan et al.	0
3	Decoding neural activity to assess individual latent state in ecologically valid contexts	Journal of Neural Engineering	Stephen M. Gordon, Jonathan R. McDaniel et al.	2
4	Assessing Temporal Variability in Fixation-Locked P300 Responses during Free-Viewing Visual Search		Stephen M. Gordon, Vernon J. Lawhern et al.	1
5	Gaze Behavior During Navigation and Visual Search of an Open-World Virtual Environment	Frontiers in Psychology	Leah R. Enders, Robert J. Smith et al.	22
6	“Blue Sky Effect”: Contextual Influences on Pupil Size During Naturalistic Visual Search	Frontiers in Psychology	Steven M. Thurman, Anna Madison et al.	8
7	During natural viewing, neural processing of visual targets continues throughout saccades	Journal of Vision	Jonathan Touryan, Stephen M. Gordon et al.	6
8	Decoding P300 Variability Using Convolutional Neural Networks	Frontiers in Human Neuroscience	Vernon J. Lawhern, Jonathan Touryan et al.	18
9	Collaborative Brain-Computer Interface for Human Interest Detection in Complex and Dynamic Settings	arXiv (Cornell University)	Stephen M. Gordon, Jonathan R. McDaniel et al.	5
10	Real World BCI		Stephen M. Gordon, Vernon J. Lawhern et al.	14
11	Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR)	IEEE Transactions on Fuzzy Systems	Dongrui Wu, Vernon J. Lawhern et al.	102
12	Informed decomposition of electroencephalographic data	Journal of Neuroscience Methods	Stephen M. Gordon, Vernon J. Lawhern et al.	16
13	Applying EEG phase synchronization measures to non-linearly coupled neural mass models	Journal of Neuroscience Methods	Jean M. Vettel, Stephen M. Gordon et al.	16
14	Real-World Neuroimaging Technologies	IEEE Access	Kaleb McDowell, Chin‐Teng Lin et al.	65
15	A bag-of-words model for task-load prediction from EEG in complex environments		Jia Meng, Stephen M. Gordon et al.	5
16	Tests of Concepts About Different Kinds of Minds: Predictions About the Behavior of Computers, Robots, and People	Human-Computer Interaction	Daniel T. Levin, Stephen S. Killingsworth et al.	29
17	Comparing parametric and nonparametric methods for detecting phase synchronization in EEG	Journal of Neuroscience Methods	Stephen M. Gordon, Piotr J. Franaszczuk et al.	18
18	Heterogeneous artificial agents for triage nurse assistance		D.M. Wilkes, Stan Franklin et al.	9
19	Neuromorphically Inspired Appraisal-Based Decision Making in a Cognitive Robot		Stephen M. Gordon, K. Kawamura et al.	6
20	IMPLEMENTATION OF COGNITIVE CONTROL FOR A HUMANOID ROBOT	International Journal of Humanoid Robotics	K. Kawamura, Stephen M. Gordon et al.	42

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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