Pam Mueller

14 papers and 2.1k indexed citations i.

About

Pam Mueller is a scholar working on Computer Science Applications, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Pam Mueller has authored 14 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Science Applications, 3 papers in Artificial Intelligence and 2 papers in Cognitive Neuroscience. Recurrent topics in Pam Mueller’s work include Mobile Crowdsensing and Crowdsourcing (4 papers), Visual and Cognitive Learning Processes (2 papers) and Psychology of Moral and Emotional Judgment (2 papers). Pam Mueller is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (4 papers), Visual and Cognitive Learning Processes (2 papers) and Psychology of Moral and Emotional Judgment (2 papers). Pam Mueller collaborates with scholars based in United States, The Netherlands and Israel. Pam Mueller's co-authors include Jesse Chandler, Danielle N. Shapiro, Gabriele Paolacci, Daniel M. Oppenheimer, Eyal Peer, Shari Seidman Diamond, Lawrence M. Solan, John M. Darley, Jessica Saunders and Osonde Osoba and has published in prestigious journals such as Psychological Science, Behavior Research Methods and Clinical Psychological Science.

In The Last Decade

Co-authorship network of co-authors of Pam Mueller i

Fields of papers citing papers by Pam Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Pam Mueller

Since Specialization
Citations

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