Curtis Puryear

36 total papers · 700 total citations
16 papers, 269 citations indexed

About

Curtis Puryear is a scholar working on Sociology and Political Science, Social Psychology and Cognitive Neuroscience. According to data from OpenAlex, Curtis Puryear has authored 16 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Sociology and Political Science, 9 papers in Social Psychology and 6 papers in Cognitive Neuroscience. Recurrent topics in Curtis Puryear's work include Social and Intergroup Psychology (7 papers), Psychology of Moral and Emotional Judgment (6 papers) and Misinformation and Its Impacts (3 papers). Curtis Puryear is often cited by papers focused on Social and Intergroup Psychology (7 papers), Psychology of Moral and Emotional Judgment (6 papers) and Misinformation and Its Impacts (3 papers). Curtis Puryear collaborates with scholars based in United States, Germany and Canada. Curtis Puryear's co-authors include Kurt Gray, Emily Kubin, Chelsea Schein, Kristen A. Lindquist, Joshua Conrad Jackson, Johann‐Mattis List, Joseph Watts, Joseph A. Vandello, Sophie L. Kuchynka and Jennifer K. Bosson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Personality and Social Psychology and Journal of Experimental Psychology General.

In The Last Decade

Curtis Puryear

16 papers receiving 259 citations

Author Peers

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

Author Last Decade Papers Cites
Curtis Puryear 139 92 39 36 35 16 269
Daniel M. Rempala 162 1.2× 70 0.8× 65 1.7× 14 0.4× 35 1.0× 17 267
Peter Kardoš 139 1.0× 73 0.8× 23 0.6× 31 0.9× 14 0.4× 15 221
Anca Minescu 216 1.6× 103 1.1× 28 0.7× 35 1.0× 16 0.5× 21 282
Belén Álvarez 186 1.3× 56 0.6× 32 0.8× 45 1.3× 17 0.5× 14 247
Pamela J. Benoit 53 0.4× 83 0.9× 47 1.2× 23 0.6× 13 0.4× 23 281
Jon Bruschke 107 0.8× 152 1.7× 66 1.7× 20 0.6× 12 0.3× 15 268
Claudia Bianchi 85 0.6× 32 0.3× 45 1.2× 29 0.8× 22 0.6× 18 300
Patrizia Milesi 202 1.5× 90 1.0× 63 1.6× 64 1.8× 32 0.9× 21 313
Luvell Anderson 150 1.1× 38 0.4× 44 1.1× 38 1.1× 22 0.6× 14 295
Reinhold Viehoff 120 0.9× 64 0.7× 44 1.1× 30 0.8× 49 1.4× 24 319

Countries citing papers authored by Curtis Puryear

Since Specialization
Citations

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

Fields of papers citing papers by Curtis Puryear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Curtis Puryear. 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 Curtis Puryear. The network helps show where Curtis Puryear may publish in the future.

Co-authorship network of co-authors of Curtis Puryear

This figure shows the co-authorship network connecting the top 25 collaborators of Curtis Puryear. A scholar is included among the top collaborators of Curtis Puryear 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 Curtis Puryear. Curtis Puryear 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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