Thesia I. Garner

35 papers and 556 indexed citations i.

About

Thesia I. Garner is a scholar working on Sociology and Political Science, Economics and Econometrics and Gender Studies. According to data from OpenAlex, Thesia I. Garner has authored 35 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Sociology and Political Science, 14 papers in Economics and Econometrics and 13 papers in Gender Studies. Recurrent topics in Thesia I. Garner’s work include Income, Poverty, and Inequality (16 papers), Gender, Labor, and Family Dynamics (13 papers) and Role of Positive Emotions in Well-Being (7 papers). Thesia I. Garner is often cited by papers focused on Income, Poverty, and Inequality (16 papers), Gender, Labor, and Family Dynamics (13 papers) and Role of Positive Emotions in Well-Being (7 papers). Thesia I. Garner collaborates with scholars based in United States, Germany and Luxembourg. Thesia I. Garner's co-authors include Rachel Dardis, Klaas de Vos, Randal J. Verbrugge, Janet Wagner, Katherine Terrell, Kathleen Short, Shelley Phipps, Douglas Johnson, David Johnson and Javier Ruiz‐Castillo and has published in prestigious journals such as Journal of Consumer Research, The Review of Economics and Statistics and Medical Care.

In The Last Decade

Co-authorship network of co-authors of Thesia I. Garner i

Fields of papers citing papers by Thesia I. Garner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thesia I. Garner. 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 Thesia I. Garner. The network helps show where Thesia I. Garner may publish in the future.

Countries citing papers authored by Thesia I. Garner

Since Specialization
Citations

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