Dana McDaniel Sumpter

21 total papers · 578 total citations
15 papers, 380 citations indexed

About

Dana McDaniel Sumpter is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and Social Psychology. According to data from OpenAlex, Dana McDaniel Sumpter has authored 15 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 6 papers in Organizational Behavior and Human Resource Management and 5 papers in Social Psychology. Recurrent topics in Dana McDaniel Sumpter's work include Job Satisfaction and Organizational Behavior (6 papers), Emotional Labor in Professions (3 papers) and Work-Family Balance Challenges (3 papers). Dana McDaniel Sumpter is often cited by papers focused on Job Satisfaction and Organizational Behavior (6 papers), Emotional Labor in Professions (3 papers) and Work-Family Balance Challenges (3 papers). Dana McDaniel Sumpter collaborates with scholars based in United States, Switzerland and Canada. Dana McDaniel Sumpter's co-authors include Bradley P. Owens, Kim S. Cameron, Wayne E. Baker, Mona Zanhour, Cristina B. Gibson, Betina Szkudlarek, Danna Greenberg, Tina C. Ambos, Julian Birkinshaw and Maura J. Mills and has published in prestigious journals such as Journal of Applied Psychology, Journal of Management Studies and Journal of Vocational Behavior.

In The Last Decade

Dana McDaniel Sumpter

14 papers receiving 361 citations

Author Peers

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

Author Last Decade Papers Cites
Dana McDaniel Sumpter 231 127 122 52 47 15 380
Dafna Eylon 211 0.9× 126 1.0× 134 1.1× 40 0.8× 46 1.0× 16 442
Joseph T. Liu 209 0.9× 106 0.8× 116 1.0× 62 1.2× 48 1.0× 10 358
Shu‐Cheng Steve 288 1.2× 162 1.3× 179 1.5× 48 0.9× 37 0.8× 19 419
Sandra Costa 297 1.3× 96 0.8× 120 1.0× 68 1.3× 50 1.1× 13 395
Helen Hailin Zhao 218 0.9× 142 1.1× 81 0.7× 73 1.4× 28 0.6× 18 413
Maria Alice D'amorim 259 1.1× 161 1.3× 126 1.0× 81 1.6× 32 0.7× 9 406
Wansi Chen 227 1.0× 121 1.0× 126 1.0× 30 0.6× 60 1.3× 24 388
Robert Roe 242 1.0× 131 1.0× 113 0.9× 67 1.3× 34 0.7× 17 440
Tina Urbach 229 1.0× 127 1.0× 110 0.9× 46 0.9× 32 0.7× 14 338
Heather S. McMillan 221 1.0× 106 0.8× 164 1.3× 72 1.4× 43 0.9× 14 445

Countries citing papers authored by Dana McDaniel Sumpter

Since Specialization
Citations

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

Fields of papers citing papers by Dana McDaniel Sumpter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana McDaniel Sumpter. 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 Dana McDaniel Sumpter. The network helps show where Dana McDaniel Sumpter may publish in the future.

Co-authorship network of co-authors of Dana McDaniel Sumpter

This figure shows the co-authorship network connecting the top 25 collaborators of Dana McDaniel Sumpter. A scholar is included among the top collaborators of Dana McDaniel Sumpter 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 Dana McDaniel Sumpter. Dana McDaniel Sumpter 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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