Erin M. Kunz

747 citations
3 papers · 269 indexed · 2 hit papers · h-index 3
Topics
EEG and Brain-Computer Interfaces (2 papers)Neuroscience and Neural Engineering (2 papers)Neurological disorders and treatments (1 paper)
Partner nations
United StatesNorway

In The Last Decade

Erin M. Kunz

3 papers receiving 266 citations

Hit Papers

A high-performance speech neuroprosthesis20232026202420252023202450100150200

Peers

Erin M. Kunz
Comparison fields: 5 of 47
  • Cognitive Neuroscience 207
  • Cellular and Molecular Neuroscience 91
  • Electrical and Electronic Engineering 56
  • Artificial Intelligence 31
  • Biomedical Engineering 28
Replace Chaofei Fan with:
Chaofei Fan United States
Foram Kamdar United States
Guy H Wilson United States
Griffin Milsap United States
Margaret P. Seaton United States
Qinwan Rabbani United States
Christopher Coogan United States
Kaylo T. Littlejohn United States
Adriana de Pesters United States
Jessica N. Kelemen United States
Erin M. Kunz relative to Chaofei Fan United States Chaofei Fan's profile →
Citations per field
00.5×1.5×
Chaofei Fan · 1×
Citations per year

Countries citing papers authored by Erin M. Kunz

Since Specialization
Citations

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

Fields of papers citing papers by Erin M. Kunz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erin M. Kunz

This figure shows the co-authorship network connecting the top 25 collaborators of Erin M. Kunz. A scholar is included among the top collaborators of Erin M. Kunz 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 Erin M. Kunz. Erin M. Kunz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1
An Accurate and Rapidly Calibrating Speech Neuroprosthesisbreakdown →
48
2
A high-performance speech neuroprosthesisbreakdown →
217
3 4

About Erin M. Kunz

Erin M. Kunz is a scholar working on Biophysics, Geometry and Topology and Cellular and Molecular Neuroscience, having authored 3 papers that have together received 269 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (2 papers), Neuroscience and Neural Engineering (2 papers) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Cognitive Neuroscience (207 citations), Cellular and Molecular Neuroscience (91 citations) and Human-Computer Interaction (19 citations). Erin M. Kunz has collaborated with scholars based in United States and Norway. Frequent co-authors include Francis R. Willett, Jaimie M. Henderson, Leigh R. Hochberg, Chaofei Fan, Matthew F. Glasser, Eun Young Choi, Shaul Druckmann, Krishna V. Shenoy, Donald T. Avansino and Foram Kamdar. Their work appears in journals such as Nature, New England Journal of Medicine and PubMed.

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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