Gamma and Beta Bursts Underlie Working Memory

508 indexed citations

Abstract

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About

This paper, published in 2016, received 508 indexed citations. Written by Mikael Lundqvist, Jonas Rose, Pawel Herman, Scott L. Brincat, Timothy J. Buschman and Earl K. Miller covering the research area of Control and Systems Engineering and Cognitive Neuroscience. It is primarily cited by scholars working on Cognitive Neuroscience (477 citations), Cellular and Molecular Neuroscience (191 citations) and Electrical and Electronic Engineering (38 citations). Published in Neuron.

Countries where authors are citing Gamma and Beta Bursts Underlie Working Memory

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This map shows the geographic impact of Gamma and Beta Bursts Underlie Working Memory. 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 Gamma and Beta Bursts Underlie Working Memory with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gamma and Beta Bursts Underlie Working Memory more than expected).

Fields of papers citing Gamma and Beta Bursts Underlie Working Memory

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Gamma and Beta Bursts Underlie Working Memory. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Gamma and Beta Bursts Underlie Working Memory.

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.

This paper is also available at doi.org/10.1016/j.neuron.2016.02.028.

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