Beverly J. DeMarr

8 total papers · 857 total citations
7 papers, 644 citations indexed

About

Beverly J. DeMarr is a scholar working on Sociology and Political Science, Organizational Behavior and Human Resource Management and Strategy and Management. According to data from OpenAlex, Beverly J. DeMarr has authored 7 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Sociology and Political Science, 3 papers in Organizational Behavior and Human Resource Management and 2 papers in Strategy and Management. Recurrent topics in Beverly J. DeMarr's work include Family Business Performance and Succession (2 papers), Gender Diversity and Inequality (2 papers) and Online and Blended Learning (1 paper). Beverly J. DeMarr is often cited by papers focused on Family Business Performance and Succession (2 papers), Gender Diversity and Inequality (2 papers) and Online and Blended Learning (1 paper). Beverly J. DeMarr collaborates with scholars based in United States. Beverly J. DeMarr's co-authors include Ellen Ernst Kossek, Raymond A. Noe, Karen Roberts, Sandra L. Fisher, Marie McKendall, Parshotam Dass, Suzanne C. de Janasz and Lisa T. Stickney and has published in prestigious journals such as Journal of Business Ethics, Personnel Psychology and Human Relations.

In The Last Decade

Beverly J. DeMarr

7 papers receiving 583 citations

Author Peers

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

Author Last Decade Papers Cites
Beverly J. DeMarr 316 286 129 126 114 7 644
Richard T. Cober 460 1.5× 188 0.7× 108 0.8× 161 1.3× 68 0.6× 7 695
Beth S. Schinoff 415 1.3× 270 0.9× 113 0.9× 179 1.4× 65 0.6× 11 736
Wesley C. King 337 1.1× 227 0.8× 93 0.7× 161 1.3× 68 0.6× 14 612
Michelle Singer Foust 289 0.9× 203 0.7× 49 0.4× 207 1.6× 56 0.5× 5 642
Cynthia A. Prehar 559 1.8× 262 0.9× 81 0.6× 154 1.2× 71 0.6× 5 745
Victor P. Lau 530 1.7× 251 0.9× 60 0.5× 143 1.1× 61 0.5× 14 792
Larry E. Penley 460 1.5× 202 0.7× 129 1.0× 206 1.6× 32 0.3× 17 786
Michael R. Carrell 410 1.3× 189 0.7× 129 1.0× 116 0.9× 34 0.3× 22 767
Amy E. Mickel 246 0.8× 230 0.8× 43 0.3× 187 1.5× 75 0.7× 16 711
Barbara K. Brown 325 1.0× 186 0.7× 80 0.6× 142 1.1× 42 0.4× 6 638

Countries citing papers authored by Beverly J. DeMarr

Since Specialization
Citations

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

Fields of papers citing papers by Beverly J. DeMarr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beverly J. DeMarr. 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 Beverly J. DeMarr. The network helps show where Beverly J. DeMarr may publish in the future.

Co-authorship network of co-authors of Beverly J. DeMarr

This figure shows the co-authorship network connecting the top 25 collaborators of Beverly J. DeMarr. A scholar is included among the top collaborators of Beverly J. DeMarr 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 Beverly J. DeMarr. Beverly J. DeMarr 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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