Michael Burke

34 total papers · 839 total citations
20 papers, 609 citations indexed

About

Michael Burke is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Burke has authored 20 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Burke's work include Neural dynamics and brain function (5 papers), Action Observation and Synchronization (4 papers) and Advanced MRI Techniques and Applications (4 papers). Michael Burke is often cited by papers focused on Neural dynamics and brain function (5 papers), Action Observation and Synchronization (4 papers) and Advanced MRI Techniques and Applications (4 papers). Michael Burke collaborates with scholars based in Germany, United States and Spain. Michael Burke's co-authors include Frank Rösler, Siegfried Bien, Katja Fiehler, Patrick H. Khader, S. Bien, Annerose Engel, Charan Ranganath, Brigitte Röder, Wolfram Schwindt and Mathias Hoehn and has published in prestigious journals such as Journal of Neuroscience, NeuroImage and Cerebral Cortex.

In The Last Decade

Michael Burke

20 papers receiving 592 citations

Author Peers

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

Author Last Decade Papers Cites
Michael Burke 446 135 107 85 68 20 609
Margaret G. Funnell 502 1.1× 147 1.1× 70 0.7× 22 0.3× 162 2.4× 17 653
Lars Hömke 469 1.1× 65 0.5× 183 1.7× 29 0.3× 63 0.9× 11 620
Sébastien Daligault 560 1.3× 102 0.8× 57 0.5× 49 0.6× 74 1.1× 28 688
James L. Keidel 445 1.0× 44 0.3× 56 0.5× 37 0.4× 57 0.8× 18 509
Scott B. Steinman 517 1.2× 47 0.3× 38 0.4× 30 0.4× 57 0.8× 19 634
Ayumi Seki 271 0.6× 96 0.7× 41 0.4× 29 0.3× 126 1.9× 31 536
Wendell J. S. Krieg 445 1.0× 54 0.4× 52 0.5× 169 2.0× 112 1.6× 18 692
Sunbin Song 597 1.3× 129 1.0× 46 0.4× 31 0.4× 125 1.8× 18 696
Adam Steel 517 1.2× 51 0.4× 106 1.0× 48 0.6× 58 0.9× 26 654
Ian M. Devonshire 346 0.8× 41 0.3× 92 0.9× 202 2.4× 43 0.6× 32 637

Countries citing papers authored by Michael Burke

Since Specialization
Citations

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

Fields of papers citing papers by Michael Burke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Burke. 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 Michael Burke. The network helps show where Michael Burke may publish in the future.

Co-authorship network of co-authors of Michael Burke

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