Kathryn C. Dickerson

636 citations
10 papers · 258 indexed · h-index 7
Topics
Neural and Behavioral Psychology Studies (4 papers)Memory and Neural Mechanisms (4 papers)Neural dynamics and brain function (3 papers)
Partner nations
United StatesCanada

In The Last Decade

Kathryn C. Dickerson

10 papers receiving 254 citations

Peers

Kathryn C. Dickerson
Comparison fields: 5 of 46
  • Cognitive Neuroscience 209
  • Cellular and Molecular Neuroscience 48
  • Experimental and Cognitive Psychology 32
  • Clinical Psychology 18
  • Radiology, Nuclear Medicine and Imaging 16
Replace Shao-Fang Wang with:
Shao-Fang Wang United States
Pascal Pas Netherlands
Alan S. R. Fermin Japan
Flavia De Luca United Kingdom
Alessandro Bongioanni United Kingdom
Erin Kendall Braun United States
Alexandra Hopkins United Kingdom
James A. Desjardins Canada
Anthony I. Jang United States
Jessica S. Flannery United States
Kathryn C. Dickerson relative to Shao-Fang Wang United States Shao-Fang Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kathryn C. Dickerson

Since Specialization
Citations

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

Fields of papers citing papers by Kathryn C. Dickerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kathryn C. Dickerson. 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 Kathryn C. Dickerson. The network helps show where Kathryn C. Dickerson may publish in the future.

Co-authorship network of co-authors of Kathryn C. Dickerson

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 5
2 1
3 7
4 1
5 22
6 34
7 58
8 19
9 41
10 70

About Kathryn C. Dickerson

Kathryn C. Dickerson is a scholar working on Cognitive Neuroscience, Behavioral Neuroscience and Applied Psychology, having authored 10 papers that have together received 258 indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (4 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (3 papers). The work is most often cited by research in Cognitive Neuroscience (209 citations), General Decision Sciences (8 citations) and Behavioral Neuroscience (12 citations). Kathryn C. Dickerson has collaborated with scholars based in United States and Canada. Frequent co-authors include Mauricio R. Delgado, R. Alison Adcock, Jian Li, Jeff MacInnes, Nan‐kuei Chen, Timothy J. Strauman, Katherine E. MacDuffie, Kari M. Eddington, Kimberly S. Chiew and Rajesh P. N. Rao. Their work appears in journals such as Nature, Neuron and NeuroImage.

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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