M. D. Burns

26 total papers · 1.1k total citations
22 papers, 943 citations indexed

About

M. D. Burns is a scholar working on Cellular and Molecular Neuroscience, Ecology and Biomedical Engineering. According to data from OpenAlex, M. D. Burns has authored 22 papers receiving a total of 943 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 6 papers in Ecology and 5 papers in Biomedical Engineering. Recurrent topics in M. D. Burns's work include Muscle activation and electromyography studies (5 papers), Avian ecology and behavior (4 papers) and Neuroscience and Neural Engineering (4 papers). M. D. Burns is often cited by papers focused on Muscle activation and electromyography studies (5 papers), Avian ecology and behavior (4 papers) and Neuroscience and Neural Engineering (4 papers). M. D. Burns collaborates with scholars based in United Kingdom, Greece and United States. M. D. Burns's co-authors include Pat Monaghan, J. D. Uttley, George Theophilidis, P.N.R. Usherwood, J. Scott Blackwood, Paul Walton, Keith C. Hamer, Rodney L. Williamson, J. M. Lackie and José P. Granadeiro and has published in prestigious journals such as Journal of Animal Ecology, Marine Ecology Progress Series and Journal of Experimental Biology.

In The Last Decade

M. D. Burns

22 papers receiving 846 citations

Author Peers

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

Author Last Decade Papers Cites
M. D. Burns 448 287 260 175 174 22 943
Laurence H. Field 280 0.6× 427 1.5× 465 1.8× 297 1.7× 73 0.4× 47 898
Malcolm R. Miller 275 0.6× 223 0.8× 268 1.0× 82 0.5× 231 1.3× 38 1.1k
James A. Strother 298 0.7× 293 1.0× 167 0.6× 99 0.6× 153 0.9× 30 1.2k
William H. Evoy 416 0.9× 589 2.1× 267 1.0× 102 0.6× 27 0.2× 19 999
Fred Lang 554 1.2× 654 2.3× 152 0.6× 92 0.5× 80 0.5× 45 1.2k
David L. Macmillan 671 1.5× 417 1.5× 316 1.2× 123 0.7× 163 0.9× 82 1.1k
Stephen A. Wainwright 446 1.0× 63 0.2× 225 0.9× 62 0.4× 166 1.0× 18 1.2k
Jean‐Pierre Gasc 145 0.3× 60 0.2× 248 1.0× 76 0.4× 259 1.5× 65 986
J. W. S. Pringle 110 0.2× 216 0.8× 246 0.9× 221 1.3× 38 0.2× 22 905
Anke Schmitz 415 0.9× 228 0.8× 231 0.9× 325 1.9× 110 0.6× 69 1.1k

Countries citing papers authored by M. D. Burns

Since Specialization
Citations

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

Fields of papers citing papers by M. D. Burns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. D. Burns

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