Rita Mae Kelly

89 total papers · 949 total citations
44 papers, 671 citations indexed

About

Rita Mae Kelly is a scholar working on Gender Studies, Political Science and International Relations and Sociology and Political Science. According to data from OpenAlex, Rita Mae Kelly has authored 44 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Gender Studies, 7 papers in Political Science and International Relations and 6 papers in Sociology and Political Science. Recurrent topics in Rita Mae Kelly's work include Gender Politics and Representation (8 papers), Gender Diversity and Inequality (5 papers) and Cultural Differences and Values (3 papers). Rita Mae Kelly is often cited by papers focused on Gender Politics and Representation (8 papers), Gender Diversity and Inequality (5 papers) and Cultural Differences and Values (3 papers). Rita Mae Kelly collaborates with scholars based in United States. Rita Mae Kelly's co-authors include Meredith A. Newman, William N. Dunn, Lorand B. Szalay, Georgia Duerst-Lahti, Kimberly Fisher, Mary E. Guy, Cathy Johnson, Nancy Felipe Russo, Michelle A. Saint‐Germain and Lauren Langman and has published in prestigious journals such as Journal of Applied Psychology, Administrative Science Quarterly and American Political Science Review.

In The Last Decade

Rita Mae Kelly

41 papers receiving 539 citations

Author Peers

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

Author						Papers	Cites
Rita Mae Kelly	299	219	196	179	76	44	671
Mohamad G. Alkadry	268 0.9×	246 1.1×	84 0.4×	159 0.9×	94 1.2×	32	635
Mark Bradbury	186 0.6×	349 1.6×	283 1.4×	163 0.9×	62 0.8×	39	687
Shannon Portillo	143 0.5×	355 1.6×	200 1.0×	232 1.3×	54 0.7×	40	728
John Wrench	180 0.6×	348 1.6×	184 0.9×	205 1.1×	61 0.8×	38	698
Julie Dolan	424 1.4×	209 1.0×	270 1.4×	194 1.1×	40 0.5×	27	682
Anne‐marie Greene	291 1.0×	203 0.9×	131 0.7×	289 1.6×	154 2.0×	41	644
Emma Jeanes	244 0.8×	174 0.8×	70 0.4×	75 0.4×	165 2.2×	30	627
Sean McCandless	82 0.3×	207 0.9×	125 0.6×	157 0.9×	50 0.7×	35	571
Elizabeth Bell	99 0.3×	213 1.0×	150 0.8×	127 0.7×	44 0.6×	45	639
Daniel Tope	266 0.9×	352 1.6×	120 0.6×	80 0.4×	59 0.8×	24	685

Countries citing papers authored by Rita Mae Kelly

Since Specialization

Citations

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

Fields of papers citing papers by Rita Mae Kelly

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rita Mae Kelly. 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 Rita Mae Kelly. The network helps show where Rita Mae Kelly may publish in the future.

Co-authorship network of co-authors of Rita Mae Kelly

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Mae Kelly. A scholar is included among the top collaborators of Rita Mae Kelly 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 Rita Mae Kelly. Rita Mae Kelly 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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