Karin M. Butler

66 total papers · 1.1k total citations
31 papers, 802 citations indexed

About

Karin M. Butler is a scholar working on Cognitive Neuroscience, Social Psychology and Artificial Intelligence. According to data from OpenAlex, Karin M. Butler has authored 31 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Social Psychology and 4 papers in Artificial Intelligence. Recurrent topics in Karin M. Butler's work include Neural and Behavioral Psychology Studies (8 papers), Memory Processes and Influences (6 papers) and Memory and Neural Mechanisms (4 papers). Karin M. Butler is often cited by papers focused on Neural and Behavioral Psychology Studies (8 papers), Memory Processes and Influences (6 papers) and Memory and Neural Mechanisms (4 papers). Karin M. Butler collaborates with scholars based in United States, United Kingdom and Belgium. Karin M. Butler's co-authors include Rose T. Zacks, Mark A. McDaniel, John M. Henderson, Cynthia Huang‐Pollock, John M. Henderson, Joel T. Nigg, Alex Dornburg, Ruth H. Maki, Carrick C. Williams and Henry L. Roediger and has published in prestigious journals such as Journal of Clinical Oncology, Journal of Consulting and Clinical Psychology and Journal of Experimental Psychology Learning Memory and Cognition.

In The Last Decade

Karin M. Butler

31 papers receiving 773 citations

Author Peers

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

Author Last Decade Papers Cites
Karin M. Butler 531 201 187 98 94 31 802
Krystyna A. Mathiak 636 1.2× 255 1.3× 125 0.7× 127 1.3× 114 1.2× 32 910
Sven Braeutigam 727 1.4× 174 0.9× 90 0.5× 77 0.8× 66 0.7× 32 998
Miguel Burgaleta 635 1.2× 459 2.3× 112 0.6× 39 0.4× 154 1.6× 35 989
Kenia Martínez 638 1.2× 432 2.1× 146 0.8× 28 0.3× 100 1.1× 37 922
Kees‐Jan Kan 344 0.6× 537 2.7× 120 0.6× 108 1.1× 118 1.3× 37 904
Jennifer J. Kulynych 534 1.0× 78 0.4× 133 0.7× 56 0.6× 43 0.5× 20 974
Taiji Ueno 701 1.3× 187 0.9× 152 0.8× 145 1.5× 178 1.9× 29 883
Herman H. Spitz 395 0.7× 374 1.9× 106 0.6× 103 1.1× 313 3.3× 90 1.0k
Michael K. Gardner 501 0.9× 191 1.0× 149 0.8× 84 0.9× 272 2.9× 34 914
Dan W. Joyce 362 0.7× 246 1.2× 257 1.4× 148 1.5× 34 0.4× 58 887

Countries citing papers authored by Karin M. Butler

Since Specialization
Citations

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

Fields of papers citing papers by Karin M. Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karin M. Butler. 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 Karin M. Butler. The network helps show where Karin M. Butler may publish in the future.

Co-authorship network of co-authors of Karin M. Butler

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

All Works

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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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