Kaylo T. Littlejohn

737 citations
6 papers · 340 indexed · 1 hit paper · h-index 5
Topics
EEG and Brain-Computer Interfaces (4 papers)Speech and Audio Processing (2 papers)Neurobiology of Language and Bilingualism (2 papers)
Partner nations
United States

In The Last Decade

Kaylo T. Littlejohn

5 papers receiving 333 citations

Hit Papers

A high-performance neuroprosthesis for speech decoding an...2023202620242025202350100150

Peers

Kaylo T. Littlejohn
Comparison fields: 5 of 53
  • Cognitive Neuroscience 259
  • Cellular and Molecular Neuroscience 105
  • Electrical and Electronic Engineering 64
  • Artificial Intelligence 55
  • Signal Processing 41
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Guy H Wilson United States
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Kaylo T. Littlejohn relative to Margaret P. Seaton United States Margaret P. Seaton's profile →
Citations per field
00.5×1.5×
Margaret P. Seaton · 1×
Citations per year

Countries citing papers authored by Kaylo T. Littlejohn

Since Specialization
Citations

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

Fields of papers citing papers by Kaylo T. Littlejohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaylo T. Littlejohn

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1 11
2 0
3 12
4 30
5
A high-performance neuroprosthesis for speech decoding and avatar controlbreakdown →
199
6 88

About Kaylo T. Littlejohn

Kaylo T. Littlejohn is a scholar working on Cognitive Neuroscience, Signal Processing and Developmental and Educational Psychology, having authored 6 papers that have together received 340 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (4 papers), Speech and Audio Processing (2 papers) and Neurobiology of Language and Bilingualism (2 papers). The work is most often cited by research in Cognitive Neuroscience (259 citations), Cellular and Molecular Neuroscience (105 citations) and Signal Processing (41 citations). Kaylo T. Littlejohn has collaborated with scholars based in United States. Frequent co-authors include Jessie R. Liu, Edward F. Chang, David A. Moses, Karunesh Ganguly, Adelyn Tu-Chan, Margaret P. Seaton, Gopala K. Anumanchipalli, Sean L. Metzger, Maximilian E. Dougherty and Alexander B. Silva. Their work appears in journals such as Nature, Nature Communications and Nature Neuroscience.

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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