Susan M. Bowyer

144 total papers · 3.3k total citations
94 papers, 2.3k citations indexed

About

Susan M. Bowyer is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Psychiatry and Mental health. According to data from OpenAlex, Susan M. Bowyer has authored 94 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Cognitive Neuroscience, 21 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Psychiatry and Mental health. Recurrent topics in Susan M. Bowyer's work include Functional Brain Connectivity Studies (42 papers), EEG and Brain-Computer Interfaces (40 papers) and Neural dynamics and brain function (17 papers). Susan M. Bowyer is often cited by papers focused on Functional Brain Connectivity Studies (42 papers), EEG and Brain-Computer Interfaces (40 papers) and Neural dynamics and brain function (17 papers). Susan M. Bowyer collaborates with scholars based in United States, Iran and Taiwan. Susan M. Bowyer's co-authors include N. Tepley, John Moran, Gregory L. Barkley, K.M.A. Welch, Karen Mason, Nash N. Boutros, Sheena K. Aurora, Andrew Zillgitt, Renée Lajiness-O’Neill and Eduardo Mendez and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Susan M. Bowyer

94 papers receiving 2.3k citations

Author Peers

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

Author Last Decade Papers Cites
Susan M. Bowyer 1.3k 678 239 233 225 94 2.3k
Ruth Nass 1.5k 1.2× 666 1.0× 189 0.8× 133 0.6× 157 0.7× 72 2.9k
David F. Sobel 1.0k 0.8× 364 0.5× 220 0.9× 114 0.5× 576 2.6× 55 2.8k
Heather A. Wishart 1.2k 0.9× 1.4k 2.1× 125 0.5× 282 1.2× 407 1.8× 69 3.1k
Robin L. Gilmore 1.3k 1.1× 764 1.1× 119 0.5× 243 1.0× 323 1.4× 82 2.9k
D Laplane 1.0k 0.8× 514 0.8× 258 1.1× 276 1.2× 286 1.3× 125 3.2k
Guy Leschziner 1.3k 1.0× 594 0.9× 312 1.3× 157 0.7× 141 0.6× 94 3.0k
Goran Vučurević 1.1k 0.8× 594 0.9× 153 0.6× 250 1.1× 805 3.6× 65 2.1k
Hervé Vespignani 880 0.7× 719 1.1× 75 0.3× 168 0.7× 174 0.8× 80 2.2k
Hubertus Lohmann 1.3k 1.0× 569 0.8× 400 1.7× 557 2.4× 306 1.4× 64 3.3k
Stephan Wolff 1.1k 0.8× 806 1.2× 71 0.3× 170 0.7× 423 1.9× 77 2.2k

Countries citing papers authored by Susan M. Bowyer

Since Specialization
Citations

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

Fields of papers citing papers by Susan M. Bowyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan M. Bowyer. 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 Susan M. Bowyer. The network helps show where Susan M. Bowyer may publish in the future.

Co-authorship network of co-authors of Susan M. Bowyer

This figure shows the co-authorship network connecting the top 25 collaborators of Susan M. Bowyer. A scholar is included among the top collaborators of Susan M. Bowyer 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 Susan M. Bowyer. Susan M. Bowyer 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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