G. Daniel Lassiter

About

G. Daniel Lassiter is a scholar working on Social Psychology, Sociology and Political Science and Cognitive Neuroscience. According to data from OpenAlex, G. Daniel Lassiter has authored 54 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Social Psychology, 25 papers in Sociology and Political Science and 24 papers in Cognitive Neuroscience. Recurrent topics in G. Daniel Lassiter’s work include Deception detection and forensic psychology (23 papers), Social and Intergroup Psychology (18 papers) and Memory Processes and Influences (11 papers). G. Daniel Lassiter is often cited by papers focused on Deception detection and forensic psychology (23 papers), Social and Intergroup Psychology (18 papers) and Memory Processes and Influences (11 papers). G. Daniel Lassiter collaborates with scholars based in United States and Philippines. G. Daniel Lassiter's co-authors include Andrew L. Geers, Ian M. Handley, Bella M. DePaulo, Michael A. Briggs, Jennifer J. Ratcliff, Matthew J. Lindberg, Audrey Irvine, Francis S. Bellezza, Claudia González‐Vallejo and Justin A. Wellman and has published in prestigious journals such as Journal of Personality and Social Psychology, Journal of Applied Psychology and American Psychologist.

In The Last Decade

Co-authorship network of co-authors of G. Daniel Lassiter i

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Fields of papers citing papers by G. Daniel Lassiter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Daniel Lassiter. 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 G. Daniel Lassiter. The network helps show where G. Daniel Lassiter may publish in the future.

Countries citing papers authored by G. Daniel Lassiter

Since Specialization

Citations

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