Dylan T. Beckler

12 total papers · 886 total citations
11 papers, 594 citations indexed

About

Dylan T. Beckler is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dylan T. Beckler has authored 11 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Cognitive Neuroscience and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dylan T. Beckler's work include Muscle activation and electromyography studies (7 papers), Neuroscience and Neural Engineering (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Dylan T. Beckler is often cited by papers focused on Muscle activation and electromyography studies (7 papers), Neuroscience and Neural Engineering (5 papers) and EEG and Brain-Computer Interfaces (4 papers). Dylan T. Beckler collaborates with scholars based in United States and Italy. Dylan T. Beckler's co-authors include Paul D. Marasco, Zachary C. Thumser, Jonathon S. Schofield, Jacqueline S. Hebert, Courtney E. Shell, Sliman J. Bensmaı̈a, Douglas T. Hutchinson, Qinpu He, Tyler S. Davis and Suzanne Wendelken and has published in prestigious journals such as Scientific Reports, Journal of neurosurgery and Science Translational Medicine.

In The Last Decade

Dylan T. Beckler

10 papers receiving 587 citations

Author Peers

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

Author						Papers	Cites
Dylan T. Beckler	432	377	286	42	40	11	594
Zachary C. Thumser	445 1.0×	426 1.1×	321 1.1×	46 1.1×	51 1.3×	21	671
David T. Kluger	471 1.1×	367 1.0×	352 1.2×	58 1.4×	19 0.5×	10	634
Emily L. Graczyk	503 1.2×	453 1.2×	413 1.4×	52 1.2×	41 1.0×	20	690
Matija Štrbac	440 1.0×	468 1.2×	235 0.8×	39 0.9×	19 0.5×	43	688
N.S. Stoykov	484 1.1×	221 0.6×	204 0.7×	100 2.4×	25 0.6×	20	686
Igor Popović	341 0.8×	322 0.9×	226 0.8×	26 0.6×	17 0.4×	13	625
Jacob A. George	504 1.2×	366 1.0×	347 1.2×	75 1.8×	19 0.5×	31	638
Mark Ison	546 1.3×	392 1.0×	259 0.9×	57 1.4×	19 0.5×	11	584
Rafi Hassan Chowdhury	563 1.3×	351 0.9×	166 0.6×	63 1.5×	23 0.6×	12	683
Enzo Mastinu	563 1.3×	284 0.8×	390 1.4×	56 1.3×	11 0.3×	32	676

Countries citing papers authored by Dylan T. Beckler

Since Specialization

Citations

This map shows the geographic impact of Dylan T. Beckler'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 Dylan T. Beckler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan T. Beckler more than expected).

Fields of papers citing papers by Dylan T. Beckler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dylan T. Beckler. 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 Dylan T. Beckler. The network helps show where Dylan T. Beckler may publish in the future.

Co-authorship network of co-authors of Dylan T. Beckler

This figure shows the co-authorship network connecting the top 25 collaborators of Dylan T. Beckler. A scholar is included among the top collaborators of Dylan T. Beckler 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 Dylan T. Beckler. Dylan T. Beckler 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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