Robert A. Seymour

71 total papers · 1.2k total citations
24 papers, 651 citations indexed

About

Robert A. Seymour is a scholar working on Cognitive Neuroscience, Atomic and Molecular Physics, and Optics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Robert A. Seymour has authored 24 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cognitive Neuroscience, 5 papers in Atomic and Molecular Physics, and Optics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Robert A. Seymour's work include Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (11 papers) and EEG and Brain-Computer Interfaces (9 papers). Robert A. Seymour is often cited by papers focused on Functional Brain Connectivity Studies (18 papers), Neural dynamics and brain function (11 papers) and EEG and Brain-Computer Interfaces (9 papers). Robert A. Seymour collaborates with scholars based in United Kingdom, Australia and Switzerland. Robert A. Seymour's co-authors include Klaus Kessler, Gina Rippon, Nicholas Alexander, Eleanor A. Maguire, Gareth R. Barnes, Tim M. Tierney, Stephanie Mellor, George C. O’Neill, Paul F. Sowman and Jan‐Mathijs Schoffelen and has published in prestigious journals such as NeuroImage, Brain and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Robert A. Seymour

22 papers receiving 644 citations

Author Peers

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

Author Last Decade Papers Cites
Robert A. Seymour 508 178 123 66 53 24 651
L. Chang 312 0.6× 78 0.4× 68 0.6× 99 1.5× 44 0.8× 31 780
Xiaohong Wan 450 0.9× 50 0.3× 144 1.2× 47 0.7× 22 0.4× 31 745
Ralf Schwarzwald 241 0.5× 124 0.7× 116 0.9× 66 1.0× 21 0.4× 33 723
Sebastian Frank 526 1.0× 45 0.3× 92 0.7× 44 0.7× 26 0.5× 46 739
Makoto Kotani 334 0.7× 71 0.4× 79 0.6× 31 0.5× 54 1.0× 34 727
Selma Supek 647 1.3× 51 0.3× 89 0.7× 25 0.4× 29 0.5× 29 789
Regine Frank 285 0.6× 125 0.7× 97 0.8× 11 0.2× 28 0.5× 32 648
Sébastien Daligault 560 1.1× 40 0.2× 57 0.5× 49 0.7× 74 1.4× 28 688
Daniel N. Barry 463 0.9× 77 0.4× 70 0.6× 185 2.8× 9 0.2× 18 596
R. Hilz 542 1.1× 155 0.9× 47 0.4× 45 0.7× 16 0.3× 25 635

Countries citing papers authored by Robert A. Seymour

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Seymour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Seymour. 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 Robert A. Seymour. The network helps show where Robert A. Seymour may publish in the future.

Co-authorship network of co-authors of Robert A. Seymour

This figure shows the co-authorship network connecting the top 25 collaborators of Robert A. Seymour. A scholar is included among the top collaborators of Robert A. Seymour 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 Robert A. Seymour. Robert A. Seymour 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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