Jamie L. Reed

72 total papers · 1.6k total citations
41 papers, 1.1k citations indexed

About

Jamie L. Reed is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jamie L. Reed has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 14 papers in Cellular and Molecular Neuroscience and 14 papers in Neurology. Recurrent topics in Jamie L. Reed's work include Neural dynamics and brain function (12 papers), Transcranial Magnetic Stimulation Studies (10 papers) and EEG and Brain-Computer Interfaces (9 papers). Jamie L. Reed is often cited by papers focused on Neural dynamics and brain function (12 papers), Transcranial Magnetic Stimulation Studies (10 papers) and EEG and Brain-Computer Interfaces (9 papers). Jamie L. Reed collaborates with scholars based in United States, Belgium and Brazil. Jamie L. Reed's co-authors include Jon H. Kaas, Hui‐Xin Qi, Stephen Lyman, Martin L. Schwartz, Heber C. Crockett, James R. Andrews, Keith Meister, Kevin E. Wilk, Mark J. Burish and A. B. Bonds and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Jamie L. Reed

37 papers receiving 1.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jamie L. Reed 448 412 367 198 162 41 1.1k
Michelle E. Cohen 276 0.6× 269 0.7× 89 0.2× 134 0.7× 33 0.2× 48 1.2k
David J. Lin 76 0.2× 678 1.6× 227 0.6× 134 0.7× 63 0.4× 56 1.5k
Barbara E. Shapiro 229 0.5× 513 1.2× 85 0.2× 101 0.5× 28 0.2× 36 1.4k
Brian W. Scott 289 0.6× 268 0.7× 158 0.4× 673 3.4× 99 0.6× 49 1.5k
David Elliot 762 1.7× 151 0.4× 106 0.3× 103 0.5× 218 1.3× 47 1.3k
Nathaniel H. Mayer 78 0.2× 434 1.1× 87 0.2× 148 0.7× 58 0.4× 42 1.3k
Brian J. White 442 1.0× 735 1.8× 76 0.2× 121 0.6× 34 0.2× 58 1.4k
Matilda Papathanasiou 171 0.4× 211 0.5× 43 0.1× 117 0.6× 155 1.0× 27 956
Mary M. Chiavaras 509 1.1× 327 0.8× 155 0.4× 26 0.1× 204 1.3× 20 972
Alessandro Castriota-Scanderbeg 93 0.2× 372 0.9× 96 0.3× 58 0.3× 72 0.4× 35 1.1k

Countries citing papers authored by Jamie L. Reed

Since Specialization
Citations

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

Fields of papers citing papers by Jamie L. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie L. Reed. 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 Jamie L. Reed. The network helps show where Jamie L. Reed may publish in the future.

Co-authorship network of co-authors of Jamie L. Reed

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

All Works

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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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