Kathryn C. Dickerson

636 total citations
10 papers, 258 citations indexed

About

Kathryn C. Dickerson is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Kathryn C. Dickerson has authored 10 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cognitive Neuroscience, 2 papers in Cellular and Molecular Neuroscience and 1 paper in Molecular Biology. Recurrent topics in Kathryn C. Dickerson's work include Neural and Behavioral Psychology Studies (4 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (3 papers). Kathryn C. Dickerson is often cited by papers focused on Neural and Behavioral Psychology Studies (4 papers), Memory and Neural Mechanisms (4 papers) and Neural dynamics and brain function (3 papers). Kathryn C. Dickerson collaborates with scholars based in United States and Canada. Kathryn C. Dickerson's 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 Marcie Nugent and has published in prestigious journals such as Nature, Neuron and NeuroImage.

In The Last Decade

Kathryn C. Dickerson

10 papers receiving 254 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kathryn C. Dickerson United States 7 209 48 32 18 16 10 258
Justin Reber United States 8 167 0.8× 21 0.4× 45 1.4× 20 1.1× 32 2.0× 11 243
Maheen Shermohammed United States 5 153 0.7× 40 0.8× 53 1.7× 19 1.1× 31 1.9× 5 222
Alexandra Hopkins United Kingdom 4 93 0.4× 40 0.8× 32 1.0× 14 0.8× 22 1.4× 5 160
Jennifer Arnold Netherlands 5 127 0.6× 21 0.4× 50 1.6× 17 0.9× 27 1.7× 6 168
Eda Mızrak Switzerland 9 190 0.9× 25 0.5× 34 1.1× 7 0.4× 10 0.6× 16 233
Pascal Pas Netherlands 10 157 0.8× 17 0.4× 46 1.4× 43 2.4× 22 1.4× 15 259
Alessandro Bongioanni United Kingdom 5 152 0.7× 26 0.5× 22 0.7× 9 0.5× 31 1.9× 8 240
Alexandra Tanner United States 9 132 0.6× 32 0.7× 54 1.7× 37 2.1× 29 1.8× 15 274
Marije Jansen United Kingdom 8 249 1.2× 27 0.6× 38 1.2× 33 1.8× 34 2.1× 10 314
Jessica S. Flannery United States 8 190 0.9× 47 1.0× 66 2.1× 28 1.6× 35 2.2× 21 299

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
2.
Locklear, Tracie, Andrew A. Li, Kathryn C. Dickerson, et al.. (2022). Advancing workforce diversity by leveraging the Clinical and Translational Science Awards (CTSA) program. Journal of Clinical and Translational Science. 7(1). e30–e30. 1 indexed citations
3.
MacInnes, Jeff, R. Alison Adcock, Andrea Stocco, et al.. (2020). Pyneal: Open Source Real-Time fMRI Software. Frontiers in Neuroscience. 14. 900–900. 7 indexed citations
4.
Dickerson, Kathryn C., et al.. (2020). How we formed a ‘journal club’ for equity in science. Nature. 1 indexed citations
5.
Dickerson, Kathryn C., et al.. (2019). Expected Reward Value and Reward Uncertainty Have Temporally Dissociable Effects on Memory Formation. Journal of Cognitive Neuroscience. 31(10). 1443–1454. 22 indexed citations
6.
MacDuffie, Katherine E., Jeff MacInnes, Kathryn C. Dickerson, et al.. (2018). Single session real-time fMRI neurofeedback has a lasting impact on cognitive behavioral therapy strategies. NeuroImage Clinical. 19. 868–875. 34 indexed citations
7.
MacInnes, Jeff, Kathryn C. Dickerson, Nan‐kuei Chen, & R. Alison Adcock. (2016). Cognitive Neurostimulation: Learning to Volitionally Sustain Ventral Tegmental Area Activation. Neuron. 89(6). 1331–1342. 58 indexed citations
8.
Dickerson, Kathryn C. & Mauricio R. Delgado. (2015). Contributions of the hippocampus to feedback learning. Cognitive Affective & Behavioral Neuroscience. 15(4). 861–877. 19 indexed citations
9.
Delgado, Mauricio R. & Kathryn C. Dickerson. (2012). Reward-Related Learning via Multiple Memory Systems. Biological Psychiatry. 72(2). 134–141. 41 indexed citations
10.
Dickerson, Kathryn C., Jian Li, & Mauricio R. Delgado. (2010). Parallel contributions of distinct human memory systems during probabilistic learning. NeuroImage. 55(1). 266–276. 70 indexed citations

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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