Laura R Decker

12 total papers · 1.1k total citations
9 papers, 947 citations indexed

About

Laura R Decker is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computational Mechanics. According to data from OpenAlex, Laura R Decker has authored 9 papers receiving a total of 947 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cognitive Neuroscience, 4 papers in Experimental and Cognitive Psychology and 1 paper in Computational Mechanics. Recurrent topics in Laura R Decker's work include Neural and Behavioral Psychology Studies (5 papers), Memory and Neural Mechanisms (4 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). Laura R Decker is often cited by papers focused on Neural and Behavioral Psychology Studies (5 papers), Memory and Neural Mechanisms (4 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (3 papers). Laura R Decker collaborates with scholars based in United States. Laura R Decker's co-authors include Israel Liberzon, Stephan F. Taylor, K. Luan Phan, Robert Koeppe, Lorraine M. Fig, Satoshi Minoshima, Robert A. Koeppe, Jennifer C. Britton, Douglas C. Noll and Thomas E. Nichols and has published in prestigious journals such as NeuroImage, Biological Psychiatry and Neuropsychopharmacology.

In The Last Decade

Laura R Decker

8 papers receiving 920 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laura R Decker 706 324 197 135 134 9 947
Karine Sergerie 779 1.1× 382 1.2× 191 1.0× 197 1.5× 140 1.0× 10 1.1k
Kristen L. Mackiewicz 716 1.0× 470 1.5× 139 0.7× 117 0.9× 176 1.3× 7 1.0k
Bonnie‐Kate Dewar 631 0.9× 217 0.7× 239 1.2× 138 1.0× 92 0.7× 10 1.1k
Lisa T. Eyler Zorrilla 581 0.8× 349 1.1× 261 1.3× 102 0.8× 150 1.1× 13 912
Ingmar Gutberlet 654 0.9× 285 0.9× 86 0.4× 159 1.2× 78 0.6× 11 951
Amanda V. Utevsky 759 1.1× 222 0.7× 145 0.7× 131 1.0× 69 0.5× 9 1.0k
Olga Kedo 754 1.1× 204 0.6× 181 0.9× 127 0.9× 106 0.8× 9 1.1k
Sara V. Tupak 677 1.0× 384 1.2× 89 0.5× 139 1.0× 132 1.0× 20 1.0k
U. Weiss 687 1.0× 435 1.3× 245 1.2× 116 0.9× 183 1.4× 19 1.0k
Ravi Thiruchselvam 558 0.8× 510 1.6× 115 0.6× 211 1.6× 288 2.1× 8 1.1k

Countries citing papers authored by Laura R Decker

Since Specialization
Citations

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

Fields of papers citing papers by Laura R Decker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laura R Decker. 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 Laura R Decker. The network helps show where Laura R Decker may publish in the future.

Co-authorship network of co-authors of Laura R Decker

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026