Nancy M. Blaker

16 total papers · 449 total citations
9 papers, 248 citations indexed

About

Nancy M. Blaker is a scholar working on Sociology and Political Science, Cognitive Neuroscience and Experimental and Cognitive Psychology. According to data from OpenAlex, Nancy M. Blaker has authored 9 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 5 papers in Cognitive Neuroscience and 5 papers in Experimental and Cognitive Psychology. Recurrent topics in Nancy M. Blaker's work include Psychology of Moral and Emotional Judgment (5 papers), Evolutionary Psychology and Human Behavior (5 papers) and Job Satisfaction and Organizational Behavior (2 papers). Nancy M. Blaker is often cited by papers focused on Psychology of Moral and Emotional Judgment (5 papers), Evolutionary Psychology and Human Behavior (5 papers) and Job Satisfaction and Organizational Behavior (2 papers). Nancy M. Blaker collaborates with scholars based in New Zealand, Netherlands and United Kingdom. Nancy M. Blaker's co-authors include Mark van Vugt, Fiona Edgar, Channah Herschberg, Jing A. Zhang, Catrin Finkenauer, Gerben A. van Kleef, Marc W. Heerdink, Astrid C. Homan, André M. Everett and Carmen E. Lefevre and has published in prestigious journals such as PLoS ONE, Psychological Science and Journal of Experimental Social Psychology.

In The Last Decade

Nancy M. Blaker

9 papers receiving 236 citations

Author Peers

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

Author Last Decade Papers Cites
Nancy M. Blaker 116 94 75 59 52 9 248
Mehrad Moeini‐Jazani 49 0.4× 42 0.4× 69 0.9× 54 0.9× 32 0.6× 7 236
Ryan Rahinel 108 0.9× 61 0.6× 89 1.2× 36 0.6× 59 1.1× 15 330
Jenny V. Bittner 116 1.0× 58 0.6× 62 0.8× 27 0.5× 21 0.4× 10 304
Kurt P. Frey 109 0.9× 82 0.9× 106 1.4× 14 0.2× 76 1.5× 8 312
Lloyd K. Stires 112 1.0× 26 0.3× 85 1.1× 27 0.5× 23 0.4× 7 299
Joann Horai 182 1.6× 50 0.5× 67 0.9× 18 0.3× 24 0.5× 16 296
Lily Cushenbery 77 0.7× 120 1.3× 114 1.5× 101 1.7× 23 0.4× 10 330
Hila Riemer 121 1.0× 46 0.5× 113 1.5× 30 0.5× 43 0.8× 12 292
Erica R. Bailey 130 1.1× 57 0.6× 152 2.0× 42 0.7× 16 0.3× 14 307
Ike Silver 129 1.1× 35 0.4× 88 1.2× 13 0.2× 72 1.4× 15 275

Countries citing papers authored by Nancy M. Blaker

Since Specialization
Citations

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

Fields of papers citing papers by Nancy M. Blaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nancy M. Blaker

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy M. Blaker. A scholar is included among the top collaborators of Nancy M. Blaker 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 Nancy M. Blaker. Nancy M. Blaker 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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