Rima D. Apple

163 total papers · 1.5k total citations
45 papers, 681 citations indexed

About

Rima D. Apple is a scholar working on History, Sociology and Political Science and History and Philosophy of Science. According to data from OpenAlex, Rima D. Apple has authored 45 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in History, 6 papers in Sociology and Political Science and 3 papers in History and Philosophy of Science. Recurrent topics in Rima D. Apple's work include Historical Studies on Reproduction, Gender, Health, and Societal Changes (13 papers), American History and Culture (3 papers) and Medical History and Innovations (2 papers). Rima D. Apple is often cited by papers focused on Historical Studies on Reproduction, Gender, Health, and Societal Changes (13 papers), American History and Culture (3 papers) and Medical History and Innovations (2 papers). Rima D. Apple collaborates with scholars based in United States, South Africa and Ireland. Rima D. Apple's co-authors include Harvey Levenstein, Margaret Marsh, Janet Golden, Darlene Clark Hine, Richard A. Meckel, Joseph F. Kett, Yanick St. Jean, Sylvia D. Hoffert, Virginia Olesen and Adele E. Clarke and has published in prestigious journals such as Contemporary Sociology A Journal of Reviews, The American Historical Review and Journal of American History.

In The Last Decade

Rima D. Apple

40 papers receiving 553 citations

Author Peers

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

Author Last Decade Papers Cites
Rima D. Apple 168 153 97 95 87 45 681
Janet Golden 145 0.9× 133 0.9× 99 1.0× 129 1.4× 135 1.6× 50 734
William G. Rothstein 161 1.0× 57 0.4× 29 0.3× 216 2.3× 124 1.4× 34 759
Anna Kirkland 190 1.1× 15 0.1× 30 0.3× 134 1.4× 99 1.1× 31 670
Maryon McDonald 261 1.6× 37 0.2× 68 0.7× 101 1.1× 52 0.6× 30 687
Susan Starr Sered 411 2.4× 18 0.1× 24 0.2× 149 1.6× 107 1.2× 64 707
Linda L. Layne 245 1.5× 54 0.4× 11 0.1× 77 0.8× 287 3.3× 35 784
Susan E. Bell 201 1.2× 63 0.4× 15 0.2× 103 1.1× 132 1.5× 39 749
William Madsen 232 1.4× 17 0.1× 67 0.7× 123 1.3× 112 1.3× 30 672
Kate Weiner 97 0.6× 9 0.1× 44 0.5× 227 2.4× 55 0.6× 37 586
Rhonda M. Shaw 145 0.9× 13 0.1× 74 0.8× 87 0.9× 181 2.1× 45 619

Countries citing papers authored by Rima D. Apple

Since Specialization
Citations

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

Fields of papers citing papers by Rima D. Apple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rima D. Apple. 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 Rima D. Apple. The network helps show where Rima D. Apple may publish in the future.

Co-authorship network of co-authors of Rima D. Apple

This figure shows the co-authorship network connecting the top 25 collaborators of Rima D. Apple. A scholar is included among the top collaborators of Rima D. Apple 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 Rima D. Apple. Rima D. Apple 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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