Emily L. Graczyk

40 total papers · 1.1k total citations
20 papers, 690 citations indexed

About

Emily L. Graczyk is a scholar working on Biomedical Engineering, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Emily L. Graczyk has authored 20 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Biomedical Engineering, 14 papers in Cognitive Neuroscience and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Emily L. Graczyk's work include Muscle activation and electromyography studies (17 papers), EEG and Brain-Computer Interfaces (9 papers) and Neuroscience and Neural Engineering (9 papers). Emily L. Graczyk is often cited by papers focused on Muscle activation and electromyography studies (17 papers), EEG and Brain-Computer Interfaces (9 papers) and Neuroscience and Neural Engineering (9 papers). Emily L. Graczyk collaborates with scholars based in United States, Austria and Canada. Emily L. Graczyk's co-authors include Dustin J. Tyler, Matthew A. Schiefer, Linda Resnik, Sliman J. Bensmaı̈a, Benoit P. Delhaye, Hannes P. Saal, Daniel Tan, Jacob L. Segil, Ronald J. Triolo and Hamid Charkhkar and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

In The Last Decade

Emily L. Graczyk

19 papers receiving 684 citations

Author Peers

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

Author Last Decade Papers Cites
Emily L. Graczyk 503 453 413 60 52 20 690
Paul Čvančara 368 0.7× 224 0.5× 304 0.7× 63 1.1× 45 0.9× 21 607
Dylan T. Beckler 432 0.9× 377 0.8× 286 0.7× 30 0.5× 42 0.8× 11 594
David T. Kluger 471 0.9× 367 0.8× 352 0.9× 42 0.7× 58 1.1× 10 634
Christopher C. Duncan 507 1.0× 406 0.9× 402 1.0× 36 0.6× 55 1.1× 14 707
Enzo Mastinu 563 1.1× 284 0.6× 390 0.9× 39 0.7× 56 1.1× 32 676
Anna Margherita Castronovo 620 1.2× 467 1.0× 207 0.5× 41 0.7× 40 0.8× 12 730
Ásgeir Alexandersson 308 0.6× 149 0.3× 166 0.4× 38 0.6× 53 1.0× 20 632
Meike A. Schweisfurth 435 0.9× 436 1.0× 255 0.6× 65 1.1× 29 0.6× 12 579
Zachary C. Thumser 445 0.9× 426 0.9× 321 0.8× 56 0.9× 46 0.9× 21 671
Igor Popović 341 0.7× 322 0.7× 226 0.5× 35 0.6× 26 0.5× 13 625

Countries citing papers authored by Emily L. Graczyk

Since Specialization
Citations

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

Fields of papers citing papers by Emily L. Graczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily L. Graczyk. 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 Emily L. Graczyk. The network helps show where Emily L. Graczyk may publish in the future.

Co-authorship network of co-authors of Emily L. Graczyk

This figure shows the co-authorship network connecting the top 25 collaborators of Emily L. Graczyk. A scholar is included among the top collaborators of Emily L. Graczyk 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 Emily L. Graczyk. Emily L. Graczyk 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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