Kay A. Robbins

4.4k total citations · 1 hit paper
96 papers, 2.8k citations indexed

About

Kay A. Robbins is a scholar working on Cognitive Neuroscience, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Kay A. Robbins has authored 96 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cognitive Neuroscience, 29 papers in Computer Networks and Communications and 17 papers in Signal Processing. Recurrent topics in Kay A. Robbins's work include Neural dynamics and brain function (29 papers), EEG and Brain-Computer Interfaces (28 papers) and Blind Source Separation Techniques (13 papers). Kay A. Robbins is often cited by papers focused on Neural dynamics and brain function (29 papers), EEG and Brain-Computer Interfaces (28 papers) and Blind Source Separation Techniques (13 papers). Kay A. Robbins collaborates with scholars based in United States, Germany and Austria. Kay A. Robbins's co-authors include Nima Bigdely-Shamlo, Tim Mullen, Christian Kothe, M. Gorman, Nicholas G. Hatsopoulos, David M. Senseman, Vernon J. Lawhern, W. David Hairston, Steven B. Robbins and Scott E. Kerick and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Neuroscience.

In The Last Decade

Kay A. Robbins

94 papers receiving 2.7k citations

Hit Papers

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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.

The PREP pipeline: standardized preprocessing for large-scale EEG analysis

2015 782 citations Nima Bigdely-Shamlo, Tim Mullen et al. Frontiers in Neuroinformatics profile →

Peers

Countries citing papers authored by Kay A. Robbins

Since Specialization

Citations

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

Fields of papers citing papers by Kay A. Robbins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay A. Robbins. 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 Kay A. Robbins. The network helps show where Kay A. Robbins may publish in the future.

Co-authorship network of co-authors of Kay A. Robbins

This figure shows the co-authorship network connecting the top 25 collaborators of Kay A. Robbins. A scholar is included among the top collaborators of Kay A. Robbins 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 Kay A. Robbins. Kay A. Robbins 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	Hierarchical Event Descriptor library schema for EEG data annotation 2025 ·Scientific Data ·Dora Hermes, Tal Pal Attia, Sándor Beniczky, Jorge Bosch‐Bayard, Arnaud Delorme, Brian N. Lundstrom, Christine Rogers, Stefan Rampp, (unknown), (unknown), Pedro A. Valdés‐Sosa, Gregory A. Worrell, Scott Makeig, Kay A. Robbins	1
2	HED LANG – A Hierarchical Event Descriptors library extension for annotation of language cognition experiments 2024 ·Scientific Data ·(unknown), (unknown), Kay A. Robbins, Scott Makeig, Florian Hutzler	0
3	Capturing the nature of events and event context using hierarchical event descriptors (HED) 2021 ·NeuroImage ·Kay A. Robbins, (unknown), Stefan Appelhoff, Arnaud Delorme, Scott Makeig	7
4	Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies 2019 ·NeuroImage ·Nima Bigdely-Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim Mullen, Kay A. Robbins	22
5	Automated EEG mega-analysis II: Cognitive aspects of event related features 2019 ·NeuroImage ·Nima Bigdely-Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim Mullen, Kay A. Robbins	19
6	Spindler: a framework for parametric analysis and detection of spindles in EEG with application to sleep spindles 2018 ·Journal of Neural Engineering ·(unknown), Piotr J. Franaszczuk, Scott E. Kerick, Kay A. Robbins	22
7	Single-Trial Classification of Disfluent Brain States in Adults Who Stutter 2018 ·PubMed ·John Myers, Farzan Irani, Edward J. Golob, Jeffrey R. Mock, Kay A. Robbins	3
8	EEG-Annotate: Automated identification and labeling of events in continuous signals with applications to EEG 2017 ·Journal of Neuroscience Methods ·(unknown), W. David Hairston, Kay A. Robbins	13
9	Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG 2016 ·Frontiers in Neuroinformatics ·Nima Bigdely-Shamlo, (unknown), Scott Makeig, (unknown), (unknown), Makoto Miyakoshi, Kay A. Robbins	22
10	Classification of Imperfectly Time-Locked Image RSVP Events with EEG Device 2013 ·Neuroinformatics ·Jia Meng, (unknown), Kay A. Robbins, Yufei Huang	4
11	A Deep Learning method for classification of images RSVP events with EEG data 2013 ·(unknown), (unknown), Zijing Mao, Jia Meng, Kay A. Robbins, Yufei Huang	25
12	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
13	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
14	SIDECACHE: Information access, management and dissemination framework for web services 2011 ·BMC Research Notes ·(unknown), (unknown), Kay A. Robbins	4
15	Propagating waves mediate information transfer in the motor cortex 2006 ·Nature Neuroscience ·(unknown), Kay A. Robbins, Nicholas G. Hatsopoulos	345
16	Tracking thymocyte migration in situ 2005 ·Seminars in Immunology ·Colleen M. Witt, Kay A. Robbins	4
17	Experimental analysis of wavelet transforms for estimating PSK symbol rate 2004 ·(unknown), Kay A. Robbins	3
18	Practical UNIX programming: a guide to concurrency, communication, and multithreading 1995 ·Prentice-Hall, Inc eBooks ·Kay A. Robbins, Steven B. Robbins	16
19	Dynamic Behavior of Memory Reference Streams for the Perfect Club Benchmarks. 1992 ·Proceedings of the International Conference on Parallel Processing ·Kay A. Robbins, Steven B. Robbins	4
20	Bus Conflicts for Logical Memory Banks on a Cray Y-MP Type Processor System. 1991 ·Proceedings of the International Conference on Parallel Processing ·Kay A. Robbins, Steven B. Robbins	6

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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