Quinn McNemar

About

Quinn McNemar is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Statistics and Probability. According to data from OpenAlex, Quinn McNemar has authored 34 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 1 paper in Experimental and Cognitive Psychology and 1 paper in Statistics and Probability. Recurrent topics in Quinn McNemar’s work include Cognitive Abilities and Testing (1 paper), Semantic Web and Ontologies (1 paper) and Educational and Psychological Assessments (1 paper). Quinn McNemar is often cited by papers focused on Cognitive Abilities and Testing (1 paper), Semantic Web and Ontologies (1 paper) and Educational and Psychological Assessments (1 paper). Quinn McNemar collaborates with scholars based in United States. Quinn McNemar's co-authors include Leo Katz, Dorothy H. Eichorn, Grace E. Bates and Paul E. Meehl and has published in prestigious journals such as Psychological Bulletin, Journal of the American Statistical Association and Journal of Applied Psychology.

In The Last Decade

Co-authorship network of co-authors of Quinn McNemar i

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Fields of papers citing papers by Quinn McNemar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quinn McNemar

Since Specialization

Citations

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

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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