Adam D. Gerson

1.7k total citations
14 papers, 1.2k citations indexed

About

Adam D. Gerson is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Adam D. Gerson has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cognitive Neuroscience, 6 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Adam D. Gerson's work include Neural dynamics and brain function (12 papers), EEG and Brain-Computer Interfaces (11 papers) and Blind Source Separation Techniques (4 papers). Adam D. Gerson is often cited by papers focused on Neural dynamics and brain function (12 papers), EEG and Brain-Computer Interfaces (11 papers) and Blind Source Separation Techniques (4 papers). Adam D. Gerson collaborates with scholars based in United States, Germany and Israel. Adam D. Gerson's co-authors include Paul Sajda, Lucas C. Parra, Clay D. Spence, Marios G. Philiastides, Julius L. Goldstein, Benjamin Blankertz, K. Müller, Peter Šajda, L. Parra and Mads Dyrholm and has published in prestigious journals such as NeuroImage, The Journal of the Acoustical Society of America and IEEE Signal Processing Magazine.

In The Last Decade

Adam D. Gerson

14 papers receiving 1.2k citations

Peers

Countries citing papers authored by Adam D. Gerson

Since Specialization

Citations

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

Fields of papers citing papers by Adam D. Gerson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adam D. Gerson. 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 Adam D. Gerson. The network helps show where Adam D. Gerson may publish in the future.

Co-authorship network of co-authors of Adam D. Gerson

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

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Single-trial discrimination for integrating simultaneous EEG and fMRI: Identifying cortical areas contributing to trial-to-trial variability in the auditory oddball task 2009 ·NeuroImage ·Robin I. Goldman, Cheng‐Yu Wei, Marios G. Philiastides, Adam D. Gerson, David Friedman, Truman R. Brown, Paul Sajda	80
2	Spatiotemporal Linear Decoding of Brain State 2008 ·IEEE Signal Processing Magazine ·Lucas C. Parra, Christoforos Christoforou, Adam D. Gerson, Mads Dyrholm, An Luo, Mark J. Wagner, Marios G. Philiastides, Paul Sajda	108
3	Single-Trial Analysis of EEG during Rapid Visual Discrimination: Enabling Cortically Coupled Computer Vision 2007 ·The MIT Press eBooks ·Paul Sajda, Adam D. Gerson, Marios G. Philiastides, Lucas C. Parra	13
4	A System for Single-trial Analysis of Simultaneously Acquired EEG and fMRI 2007 ·Paul Sajda, Robin I. Goldman, Marios G. Philiastides, Adam D. Gerson, Truman R. Brown	6
5	Cortically coupled computer vision for rapid image search 2006 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Adam D. Gerson, Lucas C. Parra, Paul Sajda	197
6	Classifying Single-Trial ERPs from Visual and Frontal Cortex during Free Viewing 2006 ·The 2006 IEEE International Joint Conference on Neural Network Proceedings ·Akaysha C. Tang, Matthew T. Sutherland, (unknown), Jingyu Liu, Yan Wang, Lucas C. Parra, Adam D. Gerson, Paul Sajda	3
7	Cortical origins of response time variability during rapid discrimination of visual objects 2005 ·NeuroImage ·Adam D. Gerson, Lucas C. Parra, Paul Sajda	85
8	Recipes for the linear analysis of EEG 2005 ·NeuroImage ·Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda	431
9	Spatial signatures of visual object recognition events learned from single-trial analysis of EEG 2004 ·Paul Sajda, Adam D. Gerson, Lucas C. Parra	6
10	A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces 2003 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Peter Šajda, Adam D. Gerson, K. Müller, Benjamin Blankertz, L. Parra	99
11	Response error correction-a demonstration of improved human-machine performance using real-time EEG monitoring 2003 ·IEEE Transactions on Neural Systems and Rehabilitation Engineering ·Lucas C. Parra, Clay D. Spence, Adam D. Gerson, Paul Sajda	104
12	High-throughput image search via single-trial event detection in a rapid serial visual presentation task 2003 ·Paul Sajda, Adam D. Gerson, Lucas C. Parra	41
13	Verification of the optimal probabilistic basis of aural processing in pitch of complex tones 1978 ·The Journal of the Acoustical Society of America ·Julius L. Goldstein, Adam D. Gerson, (unknown), Miriam Furst	24
14	Evidence for a general template in central optimal processing for pitch of complex tones 1978 ·The Journal of the Acoustical Society of America ·Adam D. Gerson, Julius L. Goldstein	32

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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