Hallie J. Johnson

494 citations
33 papers · 260 indexed · h-index 10
Topics
Neural dynamics and brain function (17 papers)Functional Brain Connectivity Studies (17 papers)EEG and Brain-Computer Interfaces (10 papers)

In The Last Decade

Hallie J. Johnson

29 papers receiving 260 citations

Peers

Hallie J. Johnson
Comparison fields: 5 of 57
  • Cognitive Neuroscience 172
  • Cellular and Molecular Neuroscience 36
  • Experimental and Cognitive Psychology 28
  • Clinical Psychology 25
  • Physiology 21
Replace Madelyn P. Willett with:
Madelyn P. Willett United States
Nathan M. Petro United States
Kate L Possin United States
L-G Nilsson Sweden
Jason A. Blake United States
Michael C. Riedel United States
Mirjam Rentrop Germany
Gonzalo Forno Chile
Nathasha R. Moallem United States
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Hallie J. Johnson relative to Madelyn P. Willett United States Madelyn P. Willett's profile →
Citations per field
00.5×1.6×
Madelyn P. Willett · 1×
Citations per year

Countries citing papers authored by Hallie J. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Hallie J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hallie J. Johnson. 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 Hallie J. Johnson. The network helps show where Hallie J. Johnson may publish in the future.

Co-authorship network of co-authors of Hallie J. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Hallie J. Johnson. A scholar is included among the top collaborators of Hallie J. Johnson 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 Hallie J. Johnson. Hallie J. Johnson 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
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3 5
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7 1
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9 1
10 7
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13 7
14 5
15 5
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17 12
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20 8

About Hallie J. Johnson

Hallie J. Johnson is a scholar working on Behavioral Neuroscience, Cognitive Neuroscience and Virology, having authored 33 papers that have together received 260 indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Functional Brain Connectivity Studies (17 papers) and EEG and Brain-Computer Interfaces (10 papers). The work is most often cited by research in Cognitive Neuroscience (172 citations), Behavioral Neuroscience (20 citations) and Virology (16 citations). Hallie J. Johnson has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Tony W. Wilson, Madelyn P. Willett, Mikki Schantell, Pamela E. May, Alex I. Wiesman, Brittany K. Taylor, Craig M. Johnson, Daniel L. Murman, Christine M. Embury and Jacob A. Eastman. Their work appears in journals such as Proceedings of the National Academy of Sciences, NeuroImage and Brain.

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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