Emily L. Graczyk

1.2k citations
20 papers · 703 indexed · h-index 10
Topics
Muscle activation and electromyography studies (17 papers)Neuroscience and Neural Engineering (9 papers)EEG and Brain-Computer Interfaces (9 papers)

In The Last Decade

Emily L. Graczyk

20 papers receiving 697 citations

Peers

Emily L. Graczyk
Comparison fields: 5 of 52
  • Biomedical Engineering 513
  • Cognitive Neuroscience 456
  • Cellular and Molecular Neuroscience 417
  • Neurology 61
  • Rehabilitation 53
Replace Christopher C. Duncan with:
Christopher C. Duncan United States
Enzo Mastinu Sweden
David T. Kluger United States
Edoardo D’Anna Switzerland
Francesco Iberite Italy
Jacob A. George United States
G. Cavallo Italy
Zachary C. Thumser United States
Dylan T. Beckler United States
Ivo Strauss Italy
Emily L. Graczyk relative to Christopher C. Duncan United States Christopher C. Duncan's profile →
Citations per field
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Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 4
4 2
5 2
6 8
7 7
8 1
9 6
10 16
11 6
12 16
13 14
14 22
15 59
16 36
17 86
18 150
19 81
20 182

About Emily L. Graczyk

Emily L. Graczyk is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Rehabilitation, having authored 20 papers that have together received 703 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (17 papers), Neuroscience and Neural Engineering (9 papers) and EEG and Brain-Computer Interfaces (9 papers). The work is most often cited by research in Cognitive Neuroscience (456 citations), Cellular and Molecular Neuroscience (417 citations) and Biomedical Engineering (513 citations). Emily L. Graczyk has collaborated with scholars based in United States, Sweden and Jordan. Frequent co-authors include Dustin J. Tyler, Matthew A. Schiefer, Linda Resnik, Benoit P. Delhaye, Sliman J. Bensmaı̈a, Hannes P. Saal, Daniel Tan, Jacob L. Segil, Hamid Charkhkar and Ronald J. Triolo. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.

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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