Andrew B. Gardner

1.7k total citations
7 papers, 947 citations indexed

About

Andrew B. Gardner is a scholar working on Cognitive Neuroscience, Signal Processing and Psychiatry and Mental health. According to data from OpenAlex, Andrew B. Gardner has authored 7 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 3 papers in Signal Processing and 3 papers in Psychiatry and Mental health. Recurrent topics in Andrew B. Gardner's work include EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (3 papers) and Epilepsy research and treatment (3 papers). Andrew B. Gardner is often cited by papers focused on EEG and Brain-Computer Interfaces (5 papers), Neural dynamics and brain function (3 papers) and Epilepsy research and treatment (3 papers). Andrew B. Gardner collaborates with scholars based in United States. Andrew B. Gardner's co-authors include Brian Litt, Gregory A. Worrell, Abba Μ. Krieger, George Vachtsevanos, Eric D. Marsh, Dennis Dlugos, Fredric B. Meyer, Richard W. Marsh, Sanqing Hu and S. Matt Stead and has published in prestigious journals such as Brain, Journal of Neurophysiology and Clinical Neurophysiology.

In The Last Decade

Andrew B. Gardner

7 papers receiving 925 citations

Peers

Countries citing papers authored by Andrew B. Gardner

Since Specialization

Citations

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

Fields of papers citing papers by Andrew B. Gardner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew B. Gardner. 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 Andrew B. Gardner. The network helps show where Andrew B. Gardner may publish in the future.

Co-authorship network of co-authors of Andrew B. Gardner

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

All Works

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7 of 7 papers shown

#	Work	Indexed citations
1	Exploiting the structure of furthest neighbor search for fast approximate results 2018 ·Information Systems ·Ryan R. Curtin, Javier Echauz, Andrew B. Gardner	6
2	A novel implanted device to wirelessly record and analyze continuous intracranial canine EEG 2011 ·Epilepsy Research ·Kathryn A. Davis, Beverly K. Sturges, Charles H. Vite, (unknown), Gregory A. Worrell, Andrew B. Gardner, Kent Leyde, W. D. Sheffield, Brian Litt	73
3	High-frequency oscillations in human temporal lobe: simultaneous microwire and clinical macroelectrode recordings 2008 ·Brain ·Gregory A. Worrell, Andrew B. Gardner, S. Matt Stead, Sanqing Hu, (unknown), (unknown), Fredric B. Meyer, Richard W. Marsh, Brian Litt	367
4	Comparison of novel computer detectors and human performance for spike detection in intracranial EEG 2007 ·Clinical Neurophysiology ·Merritt Brown, Brenda E. Porter, Dennis Dlugos, (unknown), Andrew B. Gardner, Phillip B. Storm, Eric D. Marsh	34
5	Human and automated detection of high-frequency oscillations in clinical intracranial EEG recordings 2007 ·Clinical Neurophysiology ·Andrew B. Gardner, Gregory A. Worrell, Eric D. Marsh, Dennis Dlugos, Brian Litt	206
6	One-Class Novelty Detection for Seizure Analysis from Intracranial EEG 2006 ·Journal of Machine Learning Research ·Andrew B. Gardner, Abba Μ. Krieger, George Vachtsevanos, Brian Litt	209
7	A Stochastic Framework for Evaluating Seizure Prediction Algorithms Using Hidden Markov Models 2006 ·Journal of Neurophysiology ·Stephen T.C. Wong, Andrew B. Gardner, Abba Μ. Krieger, Brian Litt	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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